56 open positions found · Salary range: $30 - $450,000
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
$179,000 - $210,000/yr
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
$179,000 - $210,000/yr
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
$179,000 - $210,000/yr
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
Senior Analytics Engineer Hybrid - Dallas, TX Summary SafetyChain is building the next generation of enterprise software for the food \& beverage supply chain—and the analytics layer is central to that vision. We're looking for a Senior Analytics Engineer to own the reporting and insights infrastructure that helps plant operators, quality managers, and executives make faster, better decisions. This role sits at the intersection of data engineering, BI, and applied AI—and you'll help define what "great analytics" looks like at SafetyChain. Who We Are SafetyChain is a rapidly scaling B2B SaaS provider revolutionizing plant management for Food and Beverage manufacturers by improving yield, maximizing productivity, and ensuring compliance. Our client base includes renowned brands like Albertsons, Clif Bar, Tyson Foods, and Whole Foods. Join a dynamic, collaborative team driven by innovation, agility, and rapid growth. What You'll Do You'll own the design and delivery of SafetyChain's analytics and reporting capabilities—from raw data to production dashboards to predictive insights. This includes: * Architecting and managing analytics infrastructure across Microsoft Fabric and Snowflake, including lakehouses, warehouses, and semantic layers. * Building reliable, well-modeled data pipelines that serve both operational reporting and exploratory analysis. * Designing and delivering dashboards and reports that give plant operators and business leaders clear, actionable visibility into their operations. * Defining data models, metrics, and KPIs in close partnership with Product, Customer Success, and domain experts. * Identifying opportunities to apply AI and ML to analytics use cases—predictive quality trends, anomaly detection, LLM-assisted data summarization, and more. * Establishing standards for data quality, governance, and documentation that scale as the platform grows. * Partnering with engineering teams to ensure clean data contracts between operational systems and the analytics layer. * Contributing to an "office-first when collaboration matters" culture that values high-bandwidth problem solving and clear ownership. What You Bring You don't need to be a specialist in every tool in the stack—but you must be the kind of engineer who thinks in systems, communicates in outcomes, and builds things that last. Core Experience * 7+ years in analytics engineering, data engineering, or BI—with hands-on experience building production-grade reporting systems. * Deep expertise with Microsoft Fabric (OneLake, Data Factory, Power BI integration) and/or Snowflake (warehousing, data sharing, performance tuning). * Strong data modeling skills—dimensional modeling, semantic layers, and metric frameworks. * Experience building dashboards and reports for operational or enterprise users using Power BI, Tableau, or similar. * Proficiency in SQL; experience with Python for data transformation or analysis is a strong plus. * Familiarity with dbt or similar transformation frameworks. * Ability to design clean data contracts between source systems and analytics consumers. * Experience with data governance, lineage tracking, and documentation practices. AI \& ML Exposure We're not hiring a data scientist—but we want someone who can recognize where AI creates leverage in an analytics context and partner with our AI/ML team to implement it. This might include: * Integrating predictive models into reporting workflows (e.g. flagging at-risk batches, forecasting yield). * Using LLMs for natural language querying, automated insight generation, or data summarization. * Working with ML pipelines to ensure clean feature data and interpretable outputs. How You Think (the part we screen hardest for) * You design for the end user, not the data model—insights should be obvious, not excavated. * You default to outcome-based decisions over theoretical purity. * You care about data trust: if users don't believe the numbers, the dashboard doesn't matter. * You're comfortable with ambiguity and can move from "we need visibility into X" to a working solution without hand-holding. * You're energized by a team of peers who challenge each other and move fast. Why Join Now You'd be joining at the moment the next-gen SafetyChain platform becomes real. The analytics layer is foundational—not an afterthought—and you'll have genuine influence over the architecture, tooling, and data culture of the entire product. This is a rare opportunity to build something serious, in a domain that matters, without the usual legacy ballast. Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status or any other characteristic protected by law applicable to the state in which you work.
From $185,000/yr
We’re partnered with a fast-scaling healthcare technology company building modern infrastructure that improves healthcare delivery and patient outcomes at scale. They’re now looking for a Lead Analytics Engineer – Data Modeling \& Quality to play a critical role in shaping how trusted data products are built, governed, and delivered across the business. This position sits at the intersection of analytics engineering, data modeling, transformation architecture, and data quality, helping create reliable datasets and scalable foundations that drive better decisions and operational outcomes across healthcare products and services. What's on offer * Total compensation up to $185k * Remote-first environment with strong flexibility * Opportunity to own and shape a critical data domain at scale * High-impact role within a mission-driven healthcare technology business * Collaborative engineering culture investing in modern data platforms and engineering practices The Mandate * Lead the design and evolution of scalable data models powering analytics and business outcomes * Own the transformation and semantic layer that converts raw operational and clinical data into trusted datasets * Establish and drive data quality standards, validation frameworks, and governance practices across analytics products * Build scalable, maintainable pipelines and transformation logic with long-term reliability in mind * Partner closely with Engineering, Analytics, Product, and business stakeholders to align data solutions with business outcomes * Improve observability, monitoring, testing, and confidence across data products and reporting layers * Influence architecture direction and create sustainable foundations for future scale * Bring structure and clarity to complex data challenges while balancing speed, quality, and maintainability What We’re Looking For * Strong experience across Analytics Engineering, Data Modeling, or Data Platform Engineering environments * Deep understanding of dimensional modeling, transformation design, and building trusted data products * Experience establishing and operating data quality frameworks and controls * Strong SQL skills and experience working with modern transformation tooling (dbt or similar) * Experience building scalable cloud-native data solutions * Strong understanding of data lifecycle, governance, testing, and observability practices * Ability to operate across technical and non-technical stakeholder groups * Pragmatic mindset with the ability to balance delivery timelines and long-term platform quality * Strong communication skills and the ability to simplify complex data concepts Bonus * Experience in healthcare or regulated environments * Exposure to large-scale operational or clinical datasets * Experience with modern cloud data platforms (Snowflake, BigQuery, Databricks, etc.) * Background in platform thinking, reusable frameworks, or self-serve analytics enablement * Experience introducing data reliability or observability practices at scale Sounds interesting? Please apply to find out more!
From $500/yr
Prop Firm Match Global FZCO is a leading platform for discovering, comparing, and selecting top proprietary trading firms. We provide traders with tools and features to easily compare challenge details, read verified reviews, see accurate payout data, and much more. We're a fast-moving, fully remote team with members from all around the world caring deeply about the quality of what we build. Our culture values ownership, clear communication, and practical impact over fluff. Whether you're a trader, technologist, marketer, or operator - your work here shapes how thousands of users find and trust prop firms. About The Department Data \& Analytics is the function that turns raw business data into decisions. We own the data platform, product analytics, marketing attribution, and revenue operations analytics. Our current priority is building reliable data infrastructure that supports both day-to-day reporting and the next wave of AI-driven workflows at PFM. About The Role Own and scale the core data platform that powers reporting, attribution, product analytics, reconciliation, AI workflows, and company-wide decision-making at PFM. Turn fragmented raw data into reliable, reusable business intelligence layers that enable faster decisions and scalable automation. Performance objectives Objective 1 - Own the data platform foundation Outcome: Reliable, well-modelled, documented warehouse data that powers reporting and AI workflows across the company. Typical tasks: * Own BigQuery warehouse architecture and dbt models * Manage Airbyte pipelines and tracking infrastructure * Apply orchestration tools (e.g., Airflow) for recurring workflows * Monitor pipeline reliability and address breakages Objective 2 - Build reliable business data models Outcome: Trusted source of truth across revenue, attribution, product funnels, partner performance, finance, and executive reporting. Typical tasks: * Model revenue and commission flows end-to-end * Model product funnels for conversion analysis * Model partner performance for the Revenue Operations team * Build executive reporting layers Objective 3 - Improve data quality and reduce manual work Outcome: Reduced reconciliation discrepancies; reduced manual reporting overhead across Finance, Analytics, and Partners teams. Typical tasks: * Implement governance, permissions, monitoring, and alerting * Automate recurring reports and reconciliations * Enable self-service analytics for non-technical stakeholders * Improve documentation and discoverability of warehouse tables Objective 4 - Enable AI workflows and new integrations Outcome: AI/automation initiatives scale on clean data; new sources are integrated without manual stitching. Typical tasks: * Integrate QuickBooks, CRM, support, social, and operational systems * Support AI enablement (Claude / internal AI assistants) with structured data * Use AI-assisted coding workflows to speed development * Partner with Engineering on integration architecture Reporting cadence * Reports to: Konstantinos Kattidis, Head of Data \& Analytics * Direct reports: None * Key cross-functional partners: Product, Marketing, Finance, Operations, Analytics, Engineering * Upward reporting cadence: Weekly 1:1 with Head of D\&A; monthly written summary; quarterly OKR review Location \& work setup * Remote, with strong overlap with CET hours (4+ hours of overlap) * Working hours: roughly 9 AM - 6 PM CET, with reasonable flexibility * Employment type: Full-time Compensation: $3,500-$5,500 / month gross Requirements What we look for Must have * 3+ years of experience as a Data Engineer or Analytics Engineer * Strong SQL and warehouse modelling skills (dbt, BigQuery preferred) * Data pipeline engineering experience (Airbyte, orchestration, monitoring) * Comfortable with workflow orchestration tools (Airflow or similar) * Strong data governance, quality, and documentation mindset * Excellent async written communication - we are remote-first Nice to have * AI-assisted coding fluency (e.g., Claude, Cursor, Copilot) * Prior experience in fintech, prop trading, or SaaS * Experience integrating QuickBooks, CRM, or operational systems * Cross-functional partnership experience with Product, Marketing, or Finance Benefits Hiring stages We keep our process simple, transparent, and respectful of your time. Here's what to expect: * Application screening: We carefully review all applications to identify candidates whose background aligns with the role's requirements. You'll receive a timely and transparent update on your application status. * Video intro + role fit questionnaire: A short async step - no scheduling required. You'll record a brief video introduction and complete a written questionnaire. This helps us understand who you are, your relevant background, and how your experience aligns with the role without either side committing to a live call upfront. * Discovery HR Interview A conversation with our HR team focused on company and culture match. We'll walk you through how PFM works, what remote ownership looks like in practice, and what success in this role looks like. You'll have plenty of space to ask questions and share your goals. * Real-world task A short, scoped exercise based on real PFM data challenges - not abstract problems. This stage is designed to give both sides a realistic view of the work before committing further. * A deep-dive Professional interview You will meet the Head of Data \& Analytics at PFM to focus on your technical expertise, analytical methodology, and how you approach real business problems. This is the decisive conversation on domain skills and role-specific experience. * Functional Interview A broader professional conversation with a senior member of the team: We'll explore your analytical thinking, how you communicate insights to different audiences, how you handle ambiguity, and how you operate within cross-functional environments. * Peer \& values conversation A cross-team interview evaluated against PFM's structured values scorecard: You'll meet a peer and a bar raiser from outside the immediate team. If there's a strong mutual match, we start with an informal conversation to align on expectations, then follow up with a formal written offer. Full transparency throughout, and time for you to make an informed decision. Before applying take into account that: ▸ If you don't meet every single qualification but believe you can excel in the role based on what it requires - we encourage you to apply. ▸ We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives. ▸ Even if it's not listed as a formal requirement, we truly value candidates who have clear familiarity with the prop trading industry and us, our mission and what we do. Not the right fit for this role? If this role isn't the right match but you have experience in trading operations, customer success, compliance, support, partnerships, or a related area - we still want to hear from you. Join our Talent Pool and we'll reach out when a relevant role opens. Every submission is reviewed, and the pool is always the first place we look before opening a new search.
From $50/yr
About eShipping eShipping is a logistics and transportation management company headquartered in Kansas City, MO. We strive to provide best-in-class service to our customers through comprehensive logistics solutions that span domestic and international transportation management, warehousing, distribution, technology, business intelligence and financial services. At our core, we are a people-development company and operate under a service-oriented mission and set of core values that inspire every business decision and every daily interaction. If you're interested in joining this special team or learning more about our growing company visit https://eshipping.biz/. Position Summary The Lead Analytics Engineer serves as the primary analytics resource embedded within the Solutions team, bridging the gap between complex data systems and business decision-making. This role combines deep technical expertise in analytics engineering with a consultative partnership approach — translating business needs into well-structured data models, building scalable data pipelines, and equipping cross-functional stakeholders with the insights and tools they need to drive outcomes. The Lead Analytics Engineer also provides technical mentorship and guidance to peers, reviewing work for accuracy, and helping elevate the team's overall data maturity. Essential Duties and Responsibilities Duties include but are not limited to the following: • Design, build, and maintain scalable data models, reusable datasets, and analytics-ready assets that support reliable reporting, self-service analysis, and downstream decision-making across the organization • Use SQL expertly to query, validate, and optimize data workflows, serving as a bridge between business questions, source systems, and scalable analytics solutions • Write and maintain Python-based data transformation logic, including production-grade PySpark pipelines, to manipulate, validate, and operationalize complex datasets at scale • Implement and manage bronze/silver/gold data modeling patterns within a Delta Lake or comparable lakehouse architecture • Partner directly with the Solutions team as an embedded analytics resource, proactively identifying opportunities to leverage data for operational improvements • Translate business requirements into technical specifications and deliver actionable insights to non-technical stakeholders • Guide other team members on analytics engineering best practices, data modeling standards, and technical approaches • Review the work of others to ensure data accuracy, consistency, and adherence to established standards • Read and tune established reporting solutions to diagnose and resolve performance issues • Collaborate with engineering, operations, finance, and customer success teams to understand evolving data needs • Evaluate, learn, and adopt new tools, platforms, and frameworks quickly, helping the team stay effective in a fast-evolving data environment Specific Department Responsibilities • Serve as point of contact between data engineering function and Solutions team, fostering an embedded partnership • Proactively identify gaps in existing data models and reporting and recommend improvements • Contribute to the development and evolution of the organization's data strategy, including architecture decisions, tooling, and governance standards • Support the evaluation and adoption of new data technologies and platforms • Create and maintain technical documentation for data models, pipelines, and processes • Participate in code reviews and provide constructive, growth-oriented feedback to peers • Communicate project status, technical trade-offs, and data insights to both technical and non-technical audiences Required Skills and Abilities To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • Advanced proficiency in Python for data manipulation and analytics engineering, including writing clean, maintainable code to transform, validate, and operationalize complex datasets • Expert-level proficiency in SQL, including window functions, CTEs, complex joins, MERGE operations, and query execution plan analysis, with the ability to use SQL as a bridge between business needs and scalable data solutions • Familiarity with Delta Lake or comparable lakehouse technologies, including schema evolution, time travel, and medallion architecture patterns • Demonstrated ability to quickly learn new tools, platforms, and frameworks, and become productive with emerging technologies in a fast-evolving data environment • Demonstrated ability to translate complex business requirements into well-structured, scalable data models • Excellent written and verbal communication skills, with ability to explain technical concepts to non-technical stakeholders • Strong analytical and problem-solving skills with keen attention to detail • Ability to work independently with minimal oversight while exercising sound judgment • Comfortable mentoring others and providing technical guidance without direct management authority • Ability to manage multiple priorities and adapt in a fast-paced environment • Experience working with BI and visualization tools (e.g., Power BI, Apache Superset, or similar) • Familiarity with cloud data platforms such as Apache Spark, Databricks, Azure Data Lake, or comparable environments Minimum Education and Experience • Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field — or equivalent practical experience • 5+ years of professional experience in analytics engineering, data engineering, or a senior data analyst role with significant hands-on data modeling responsibilities • Hands-on production experience with Apache Spark and PySpark • Working experience with lakehouse architectures (Apache Spark or comparable) • Track record of partnering directly with business teams (operations, finance, solutions, customer success, etc.) as a primary analytics resource • Experience mentoring or guiding peers in a technical environment • Freight, logistics, or transportation industry experience preferred Physical Demands and Work Environment The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. • Physical Demands: While performing the duties of this job, the employee is regularly required to remain in a stationary position for at least 50% of the time. The employee needs to occasionally move about inside the office to access file cabinets, office machinery, etc. The general level of physical activity would be defined as sedentary. The employee is regularly required to operate a computer and other office productivity machinery, such as a calculator, telephone, copy machine, and printer. Some movements of the hands, arms, and wrists may involve repetitive motions. Specific vision abilities required by this job include the ability to detect, determine, perceive, identify, recognize, judge, observe, inspect, estimate, and assess various activities and surroundings. • Cognitive/Mental Requirements: While performing the duties of this job, the employee is regularly required to comprehend and use basic language, either written or spoken, to communicate simple and complex information, ideas, and information. The employee is also required to use logic to define problems, collect information, establish facts, draw valid conclusions, interpret information, and deal with abstract variables for unique or unfamiliar situations. The employee must use problem-solving skills to formulate and apply appropriate courses of action for routine or familiar situations. The employee may be required to perform numerical operations including basic counting, adding, subtracting, multiplying, and dividing or more complex quantitative calculations. • Work Environment: While performing the duties of this job, the employee is inside a central heat and air-conditioned office building. The noise level in the work environment is minimal. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of an employee. Duties, responsibilities, and activities may change at any time with or without notice. eShipping is an Equal Opportunity Employer.
From $40/yr
BCB Group is a leading provider of regulated payment and trading services in crypto and fiat for the digital asset economy. We provide accounts, cryptocurrency and foreign exchange market liquidity for some of the world’s largest, crypto-engaged businesses, including crypto exchanges, liquidity providers, market makers, investment firms, custodians, payment processors and wallet providers. Our end-to-end suite of products are accessible through our Client Console UI and API. We offer more than 40 fiat and cryptocurrencies, deep trading liquidity, 24/7 instant payments through our instant settlements network, BLINC, and secure crypto services. Our strong focus on compliance matches our technical and business expertise, and we are regulated by some of the world’s most respected regulators. Authorised in the UK, France and Switzerland, we place the utmost importance on our regulatory-first institutional principles. About the Role We are seeking a highly motivated and detail-oriented Analytics Engineer to join our dynamic Data and Analytics team. Reporting to the Head of Data and Analytics, you will play a pivotal role in transforming raw data into actionable insights that drive strategic business decisions. This position requires a strong analytical mindset, exceptional problem-solving skills, and the ability to effectively communicate complex technical concepts to non-technical stakeholders. The position is more than just a "warehouse developer" role. You will work cross-functionally with various departments—to understand their workflows, model their data, and build the "connective tissue" that makes the business move faster. You will be responsible for the end-to-end lifecycle of a data product: from identifying a business need to building the dbt models and ensuring that transformed data is accessible where it's needed most. Responsibilities * Ownership of the Modern Data Stack (dbt \& BigQuery) * Act as a lead developer for our dbt project. * Build performant, modular, and well-tested models that turn data into a reliable "Source of Truth." * Apply software engineering rigor to the data stack: version control (Git), documentation, unit testing, and CI/CD. * Partner with business leads across the company to identify manual processes that can be streamlined through data automation. * Bridge the gap between the warehouse and the business by "closing the loop"—ensuring data isn't just sitting in a dashboard but is actively driving operational tools and decision-making. * Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and explore new ways to enhance data quality. * Act as a consultant to business leads. Don't just "take tickets"—understand the underlying business logic and propose better ways to structure data. * Translate loosely defined business requirements into robust, automated technical solutions. * Work closely with stakeholders to define data quality standards and establish feedback loops that ensure data captured in upstream systems is accurate, complete, and fit for purpose. Qualifications * 3+ years of experience in a high-growth data environment (Analytics Engineer, Data Engineer, or Technical Data Analyst). Required Skills * Modern Data Stack Specialist: Deep, practical knowledge of dbt and cloud warehouses (we use BigQuery, but the experience is very transferrable). * Expert-level SQL: You write complex, clean, and performant queries. * Python Literacy: Not a software developer, but you must be comfortable reading code, writing scripts for data manipulation, and handling API. * AI Comfort: You are an "AI-first" builder who is comfortable using AI tools (e.g., Cursor, GitHub Copilot, LLMs) to write code faster, debug, and stay ahead of the curve. * Ownership Mindset: You are comfortable working independently, managing your own roadmap, and taking accountability for the entire warehouse architecture. * Exceptional Communication: You can walk into a room with a non-technical team, understand their pain points, and explain your technical solution in plain English. Preferred Skills * Workflow Automation: Experience with tools like n8n, Zapier, or similar automation platforms. * BI/Semantic Platforms: Experience with Looker, Thoughtspot, or similar. * Industry Context: Experience in Payments, FinTech, Banking, or Cryptocurrency. * Reverse ETL: Familiarity with moving data from the warehouse back into SaaS tools. Our people are constantly striving to be the best through operational excellence. The professional development and learning opportunities create an agile, hardworking, conscientious, and knowledgeable team. The opportunities for personal growth are exponential. You grow as the business grows. The roles and responsibilities are broad and ever-changing, and the dynamism of BCB keeps you engaged and highly motivated. At BCB, you don’t just work for your manager; they work for you too. We believe in empowering individuals to create a culture of personal growth, together. We focus on driving empowerment from the bottom up, up-skilling every individual at every level. This means our team has a sense of commonality and belonging, driven by a shared belief in our mission. We’re passionate about our business, our people, and providing 360-degree support for success. The chance to operate at the forefront of our industry. You can talk to anyone in the business as there are no barriers and everyone is accessible. You will be collaborating with teams on a hybrid working arrangement. We value team success where every individual can grow and prosper. 30 days annual leave each year, excluding bank holidays. 4 wellbeing days per year to prioritise your mental health. 1 company volunteering day per year. Strong benefits package including; Private Healthcare, Pension, Income Protection (long-term absence), Life Insurance, Menopause Policy, and an enhanced Parental Leave policy. Equal Opportunity Statement BCB Group is committed to diversity and inclusivity.
From $250,000/yr
About MoonPay Hi, we’re MoonPay. We’re here to onboard the world to the decentralized economy by making digital money move as universally and effortlessly as the internet. Why? Because crypto, stablecoins and blockchain aren’t just technologies. They’re tools for global financial empowerment. They give people and businesses more control over their money, their digital assets, and their future, opening access to legacy financial systems that have been out of reach for many. What we do MoonPay is a unified payments platform for digital currency. We make it easy for anyone, anywhere, to buy, sell, swap and pay in digital currencies as easy as sending an email. That simplicity is intentional, our focus is reducing complexity so people can participate confidently, without needing to be crypto experts. We power the entire flow between fiat and crypto end to end, with compliance, identity checks, fraud prevention, and settlement all built in. This end-to-end approach reflects how we work internally: with accountability, rigor, and trust built into everything we ship. Proven at scale Trusted by over 30 million customers and over 500 ecosystem partners, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide. Behind those numbers are millions of real people and organizations relying on MoonPay every day. We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. This is an opportunity to help shape systems, not just scale them. And we’re committed to doing it right. Fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia, because trust and compliance are non-negotiable. But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be. If you believe financial freedom should be for everyone. If you believe in building a fairer, more open financial system - we want you with us. To build systems that benefit all, we need contributions from all, regardless of background. Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal. About The Opportunity This is an opportunity for an ambitious Data Analytics Engineer to have a huge impact across the organization, while working in a complex and rapidly changing crypto environment. We are looking for someone with experience or an interest in end-to-end “full-stack” data work, including: data strategy, analytics/data engineering, and (advanced) data analytics. The main focus of this position will be to play a crucial role in supporting our Accounting and FP\&A functions. What You Will Do * Build robust data models and infrastructure downstream of backend services and external data sources, which support reconciliation, internal reporting, and ad-hoc analysis. * Develop “The Ledger”, which tracks all our crypto and fiat movements from wallet and exchange data sources. * Design, build, and scale a MoonPay-wide approach to reconciliation for cash, crypto, and payments data using both internal and external data sources. * Conduct specific analysis and build data solutions for new product flow of funds, crypto inventory balances, or cost basis reporting. * Collaborate with the finance team and the crypto engineering team to conduct investigations into issues, such as crypto delivery timing, or payments reconciliation. * Work closely with accounting and finance to understand their needs, and build custom tables and reporting to support their efforts About You Must-have experience and skills * Advanced SQL and data modelling are second nature to you * You have a vision and enthusiasm for architecting and building robust data models to contribute to our current ecosystem of data products. * You have the versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment Nice-to-have Experience * You have experience and/or a strong interest in working directly with a finance team, interest in Accounting, Financial Audits, or Financial Reporting is a plus. You are experienced in communicating with cross-functional stakeholders including engineers, finance directors, VPs \& C-level executives BLOCK Values We’re looking for people who live our core values, those who strive for excellence and want to leave a lasting legacy on the global financial system. Our values: B - Be Hungry L - Level Up O - Own It C - Crypto Curious K - Kaizen Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot. Benefits \& Perks 💡 💰Competitive salary package 🤝 Equity package: We believe financial freedom starts with our employees, so all employees have ownership at MoonPay 📈 Pay for performance equity bonus: Those who drive outsized outcomes receive outsized rewards 🚀 Moonshot award. We honor exceptional impact - 10 employees twice a year, each earning a $250,000 equity grant. 🏝 Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off) 🌍 Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours 🩺 Private Healthcare benefits: To protect you and your loved ones 🍼 Enhanced parental leave: So you can spend more time with your loved ones without a second thought 📚 Annual training budget: We support your training journey every step of the way 🪑 Home office setup allowance: Create the home office of your dreams 👛 Remote working allowance: Those working fully remotely get a little extra for utilities 💰 Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN 💰 Employee referral programme: Great people know great people, refer them to receive 10K in USDC ✈️ Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons 🚀 Working in a disruptive and fast-growing company where excellence is rewarded Commitment To Diversity At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence. MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
$179,000 - $210,000/yr
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
Position Summary: The Lead Analytics Engineer develops data and analytic tools, strategies, and insights to improve healthcare outcomes, reduce costs, and enhance overall value. Qualifications: Education, Licensure and Certifications, Related Work Experience Bachelor's degree in analytics, statistics, healthcare administration, computer science, finance, or a related field Previous experience in value-based care programs supporting large physician groups and demonstrated proficiency with data analysis tools and software Other specialized skills and knowledge necessary to perform this job. (e.g., basic accounting principles, computer skills and software, specific healthcare processes, interpersonal, communication, etc. 1. Strong understanding of value-based care models, claims and EHR data, HCC RAF, MA Stars, quality and surveys and predictive modeling 3. Use of common software and computer/technology 2. Strategic thinker who takes initiative through excellent communication, collaboration, and leadership 4. Essential Job Duties/Responsibilities 1. Leverage data infrastructure, utilize data mining, statistical, and machine learning techniques to understand patient populations, care pathways, and the impact of VBC initiatives 2. Collaborate with physicians, facilities, and health plans to align VBC goals and strategies 3. Ensure data integrity to support operational and clinical initiatives. 4. Analyzes data to identify discrepancies and patterns. 5. Prepare accurate reports on trends and cost evaluation. 6. Provides recommendations on ways to improve quality and minimize costs. 7. Effectively communicate complex findings and recommendations to a diverse audience, including technical and non-technical audiences in a clear and concise manner 8. Other related duties as assigned. Compliance Requirements Adherence to Laws, Rules, Regulations, Standards, Guidelines, Policies and Procedures: Ensure compliance with all federal, state, and local laws, regulations, standards, guidelines, and Eventus WholeHealth policies and procedures pertaining to the job. Remain informed of any changes to federal, state, and local laws, regulations, standards,guidelines, and Eventus WholeHealth policies and procedures that impact the job and the company. Promptly report any non-compliant conduct and/or practices to Eventus WholeHealth’s Chief Compliance and Risk Officer. Ethical Conduct: Ensure adherence to Eventus WholeHealth's Code of Ethics and Business Conduct. Perform the job duties with integrity and professionalism. Promptly report any unethical conduct and/or practices to Eventus WholeHealth’s Chief Compliance and Risk Officer. Patient Privacy and Confidentiality: Strictly protect patient information in accordance with all federal and state privacy laws and Eventus WholeHealth policies and procedures. Promptly report any violations of federal and state privacy laws and Eventus WholeHealth policies and procedures to Eventus WholeHealth’s Chief Compliance and Risk Officer. Documentation and Record Keeping: Maintain accurate and complete documentation when performing the job duties. Ensure that all Eventus WholeHealth information, data, documentation, and records are always safeguarded and maintained confidentially. Training and Education: Participate in all assigned training. Complete all assigned training by the deadline for completion. Risk Management and Incident Reporting: Engage in regular risk assessments to identify potential risks and work proactively with a supervisor and Eventus WholeHealth’s Chief Compliance and Risk Officer to mitigate any identified risks. * Promptly report any incidents (as defined in the “Incident Report Policy”) to the Chief Compliance and Risk Officer. About Eventus WholeHealth: Eventus WholeHealth was founded in 2012 to provide physician-led healthcare services for residents and patients of skilled nursing and assisted living facilities. With our highly-trained team of physicians, psychiatrists, nurse practitioners, physician assistants, psychotherapists, podiatrists, and support staff, our comprehensive, evidence-based model provides collaborative interdisciplinary care with the seamless and vital integration of a wide range of specialties. Our differentiated approach not only empowers the facilities to reach their own goals and objectives but also ensures better patient outcomes. For more information, please visit www.eventuswholehealth.com
$179,000 - $210,000/yr
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 300 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. ### Requirements Design, develop, and operate backend systems that power blockchain analytics, attribution, and risk intelligence products Build scalable, high-throughput services to process and serve large volumes of on-chain data, including transactions, addresses, entities, and relationships Implement backend components supporting address clustering, entity resolution, and transaction graph analysis Collaborate closely with data scientists, analysts, and product teams to productionize analytical models and heuristics Design APIs and internal services that expose blockchain intelligence to downstream applications and customers Improve system reliability, performance, and maintainability through thoughtful architecture and continuous optimization Write clear technical documentation and contribute to engineering best practices ### Responsibilities Bachelor’s degree or above in Computer Science, Engineering, or a related field 3+ years of backend development experience using Java Strong experience with Spring / Spring Boot / Spring Cloud in production environments Solid understanding of backend infrastructure and data stores, including relational databases (MySQL, PostgreSQL), caching systems (Redis), and messaging systems (Kafka) Strong understanding of blockchain fundamentals, such as public blockchain data structures (blocks, transactions, addresses), UTXO vs account-based models, and on-chain data ingestion and normalization Ability to work effectively in a data-heavy, problem-driven environment Strong English communication skills, both written and spoken Working proficiency in Chinese to collaborate with regional stakeholders ### Nice to Have Experience at blockchain analytics, crypto compliance, or fintech companies Hands-on experience with graph-based systems, including address clustering, wallet attribution, entity resolution, and transaction graph traversal Familiarity with clustering algorithms (heuristic, rule-based, or ML-assisted) applied to real-world datasets Experience with big data frameworks such as Spark or Flink Exposure to AML, sanctions screening, risk scoring, or compliance-related systems Experience building or operating distributed systems at scale Familiarity with Docker, Kubernetes, and cloud-native architectures Why Binance Shape the future with the world’s leading blockchain ecosystem Collaborate with world-class talent in a user-centric global organization with a flat structure Tackle unique, fast-paced projects with autonomy in an innovative environment Thrive in a results-driven workplace with opportunities for career growth and continuous learning Competitive salary and company benefits Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
$196,000 - $220,500/yr
Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, duri
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As an Analytics Engineer, you will be an early member of the Data Scie
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
Position Summary: The Lead Analytics Engineer develops data and analytic tools, strategies, and insights to improve healthcare outcomes, reduce costs, and enhance overall value. Qualifications: Education, Licensure and Certifications, Related Work Experience Bachelor's degree in analytics, statistics, healthcare administration, computer science, finance, or a related field Previous experience in value-based care programs supporting large physician groups and demonstrated proficiency with data analysis tools and software Other specialized skills and knowledge necessary to perform this job. (e.g., basic accounting principles, computer skills and software, specific healthcare processes, interpersonal, communication, etc. 1. Strong understanding of value-based care models, claims and EHR data, HCC RAF, MA Stars, quality and surveys and predictive modeling 3. Use of common software and computer/technology 2. Strategic thinker who takes initiative through excellent communication, collaboration, and leadership 4. Essential Job Duties/Responsibilities 1. Leverage data infrastructure, utilize data mining, statistical, and machine learning techniques to understand patient populations, care pathways, and the impact of VBC initiatives 2. Collaborate with physicians, facilities, and health plans to align VBC goals and strategies 3. Ensure data integrity to support operational and clinical initiatives. 4. Analyzes data to identify discrepancies and patterns. 5. Prepare accurate reports on trends and cost evaluation. 6. Provides recommendations on ways to improve quality and minimize costs. 7. Effectively communicate complex findings and recommendations to a diverse audience, including technical and non-technical audiences in a clear and concise manner 8. Other related duties as assigned. Compliance Requirements Adherence to Laws, Rules, Regulations, Standards, Guidelines, Policies and Procedures: Ensure compliance with all federal, state, and local laws, regulations, standards, guidelines, and Eventus WholeHealth policies and procedures pertaining to the job. Remain informed of any changes to federal, state, and local laws, regulations, standards,guidelines, and Eventus WholeHealth policies and procedures that impact the job and the company. Promptly report any non-compliant conduct and/or practices to Eventus WholeHealth’s Chief Compliance and Risk Officer. Ethical Conduct: Ensure adherence to Eventus WholeHealth's Code of Ethics and Business Conduct. Perform the job duties with integrity and professionalism. Promptly report any unethical conduct and/or practices to Eventus WholeHealth’s Chief Compliance and Risk Officer. Patient Privacy and Confidentiality: Strictly protect patient information in accordance with all federal and state privacy laws and Eventus WholeHealth policies and procedures. Promptly report any violations of federal and state privacy laws and Eventus WholeHealth policies and procedures to Eventus WholeHealth’s Chief Compliance and Risk Officer. Documentation and Record Keeping: Maintain accurate and complete documentation when performing the job duties. Ensure that all Eventus WholeHealth information, data, documentation, and records are always safeguarded and maintained confidentially. Training and Education: Participate in all assigned training. Complete all assigned training by the deadline for completion. Risk Management and Incident Reporting: Engage in regular risk assessments to identify potential risks and work proactively with a supervisor and Eventus WholeHealth’s Chief Compliance and Risk Officer to mitigate any identified risks. * Promptly report any incidents (as defined in the “Incident Report Policy”) to the Chief Compliance and Risk Officer. About Eventus WholeHealth: Eventus WholeHealth was founded in 2012 to provide physician-led healthcare services for residents and patients of skilled nursing and assisted living facilities. With our highly-trained team of physicians, psychiatrists, nurse practitioners, physician assistants, psychotherapists, podiatrists, and support staff, our comprehensive, evidence-based model provides collaborative interdisciplinary care with the seamless and vital integration of a wide range of specialties. Our differentiated approach not only empowers the facilities to reach their own goals and objectives but also ensures better patient outcomes. For more information, please visit www.eventuswholehealth.com
Position Summary: The Lead Analytics Engineer develops data and analytic tools, strategies, and insights to improve healthcare outcomes, reduce costs, and enhance overall value. Qualifications: Education, Licensure and Certifications, Related Work Experience Bachelor's degree in analytics, statistics, healthcare administration, computer science, finance, or a related field Previous experience in value-based care programs supporting large physician groups and demonstrated proficiency with data analysis tools and software Other specialized skills and knowledge necessary to perform this job. (e.g., basic accounting principles, computer skills and software, specific healthcare processes, interpersonal, communication, etc. 1. Strong understanding of value-based care models, claims and EHR data, HCC RAF, MA Stars, quality and surveys and predictive modeling 3. Use of common software and computer/technology 2. Strategic thinker who takes initiative through excellent communication, collaboration, and leadership 4. Essential Job Duties/Responsibilities 1. Leverage data infrastructure, utilize data mining, statistical, and machine learning techniques to understand patient populations, care pathways, and the impact of VBC initiatives 2. Collaborate with physicians, facilities, and health plans to align VBC goals and strategies 3. Ensure data integrity to support operational and clinical initiatives. 4. Analyzes data to identify discrepancies and patterns. 5. Prepare accurate reports on trends and cost evaluation. 6. Provides recommendations on ways to improve quality and minimize costs. 7. Effectively communicate complex findings and recommendations to a diverse audience, including technical and non-technical audiences in a clear and concise manner 8. Other related duties as assigned. Compliance Requirements Adherence to Laws, Rules, Regulations, Standards, Guidelines, Policies and Procedures: Ensure compliance with all federal, state, and local laws, regulations, standards, guidelines, and Eventus WholeHealth policies and procedures pertaining to the job. Remain informed of any changes to federal, state, and local laws, regulations, standards,guidelines, and Eventus WholeHealth policies and procedures that impact the job and the company. Promptly report any non-compliant conduct and/or practices to Eventus WholeHealth’s Chief Compliance and Risk Officer. Ethical Conduct: Ensure adherence to Eventus WholeHealth's Code of Ethics and Business Conduct. Perform the job duties with integrity and professionalism. Promptly report any unethical conduct and/or practices to Eventus WholeHealth’s Chief Compliance and Risk Officer. Patient Privacy and Confidentiality: Strictly protect patient information in accordance with all federal and state privacy laws and Eventus WholeHealth policies and procedures. Promptly report any violations of federal and state privacy laws and Eventus WholeHealth policies and procedures to Eventus WholeHealth’s Chief Compliance and Risk Officer. Documentation and Record Keeping: Maintain accurate and complete documentation when performing the job duties. Ensure that all Eventus WholeHealth information, data, documentation, and records are always safeguarded and maintained confidentially. Training and Education: Participate in all assigned training. Complete all assigned training by the deadline for completion. Risk Management and Incident Reporting: Engage in regular risk assessments to identify potential risks and work proactively with a supervisor and Eventus WholeHealth’s Chief Compliance and Risk Officer to mitigate any identified risks. * Promptly report any incidents (as defined in the “Incident Report Policy”) to the Chief Compliance and Risk Officer. About Eventus WholeHealth: Eventus WholeHealth was founded in 2012 to provide physician-led healthcare services for residents and patients of skilled nursing and assisted living facilities. With our highly-trained team of physicians, psychiatrists, nurse practitioners, physician assistants, psychotherapists, podiatrists, and support staff, our comprehensive, evidence-based model provides collaborative interdisciplinary care with the seamless and vital integration of a wide range of specialties. Our differentiated approach not only empowers the facilities to reach their own goals and objectives but also ensures better patient outcomes. For more information, please visit www.eventuswholehealth.com
About Zscaler Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We believe that our data is one of our greatest assets, and the insights we derive from it are crucial to our success. The Corporate Data and Analytics team’s mission is to enable trusted Analytics, Data Science, and AI for all Corporate functions, including Finance, Marketing, People, and Enterprise. As a
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedica
From $120/yr
Overview Who Are We? Decentralized Masters is at the forefront of DeFi education globally. In just two years, we have grown from a pioneering pair of co-founders to over 120 dedicated professionals. Today, we are recognized as one of the fastest-growing enterprises in the sector, with industry insiders predicting our evolution into a unicorn company by 2030. Operating on a bootstrapped model, we are on track to achieve an impressive $50 million in revenue this year alone. Our Impact While our growth has been remarkable, we take even greater pride in the success of our clients. To date, we have empowered over 4,000 investors to break into the DeFi world. At Decentralized Masters, we don’t just offer education; we cultivate a powerhouse of knowledge combined with an engaging community, innovative technology, and a team of leading DeFi and blockchain experts. Our commitment is to deliver unparalleled resources designed for long-term success in the world of DeFi and Web3, ensuring our memb
Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, duri
From $124/yr
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
From $30/yr
Takealot Fulfilment Solutions (TFS), a division of Takealot Online (RF) (Pty) Ltd, is looking for a highly talented Analytics Engineer with software engineering coding skills to join our team in Cape Town. Join Our Mission at Takealot Fulfilment Solutions | We Are TFS Revolutionising e-commerce logistics in South Africa with cutting-edge technology and operational excellence. We deliver 30+ million orders annually, empowering businesses and driving economic growth. Who We're Looking For: Innovative, ambitious individuals ready to shape the future of e-commerce logistics. At TFS, "Uniquely You" meets "Powerfully Us", where your individuality strengthens our collective mission. Why Join TFS: - Purpose-driven impact: Transform lives through logistics innovation - Advanced technology: Work with cutting-edge systems in a fast-paced environment - Career growth: Thrive in an agile space that champions continuous improvement - Inclusive culture: Your unique perspective drives extraordinary res
At Underdog, we make sports more fun. Our thesis is simple: build the best products and we’ll build the biggest company in the space, because there’s so much more to be built for sports fans. We’re just over five years in, and we’re one of the fastest-growing sports companies ever, most recently valued at $1.3B. And it’s still the early days. We’ve built and scaled multiple games and products across fantasy sports, sports betting, and prediction market
$137,700 - $206,500/yr
Senior Analytics Engineer II United States Data / Full-time- Remote / Remote Articulate is looking for a Sr. Analytics Engineer to join our amazing Data team! As a Senior Analytics Engineer, you'll transform the data landing in our data warehouse into self-serve data artifacts. The goal of this role is to help our cross-functional data consumers find the right data set for their analysis and answer their questions quickly through a self-service data platform. While the role is primarily responsible for building the data foundation for reporting and analysis, it is expected to provide necessary support in building and improving Articulate’s data literacy and infrastructure. What You'll Do: - Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools such as Looker or Tableau, and publishing documentation, enabling self-service analytics for business users and faster insights for data analysts. - Co
About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. </stron
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As an Analytics Engineer, you will be an early member of the Data Scie
$400,000 - $450,000/yr
Director of Data and Analytics Engineering Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. As Director of Data and Analytics Engineering, you'll build the data products and systems that powers how Discord accesses data—from self-service analytics and dashboards to AI-powered experiences that let anyone query data naturally. You'll lead a team of talented engineers and engineering managers through a critical growth phase, enabling rapid decision making across our subscription, advertising and commerce businesses. You'll strengthen data engineering foundations w
From $201/yr
BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy in across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a BI and Analytics Engineer at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individua
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet prope
Location type All On-site Hybrid Remote Location All Atlanta, GA Bordeaux Charlotte, NC France Lille Lyon Marseille Melbourne Nantes New York, NY Paris Richmond, VA Toulouse Tours Washington, D.C. Data Practice All Cloud/DevOps Practice Cloud/DevOps Customer Success Practice Project Management Data Practice Data Engineering Full-Stack Practice Full-Stack Engineer Modern Architecture Practice Modern Architecture Practice Sales & Operations Operations Sales Software Engineering Practice Software Engineering Other teams Candidature spontanée Work type All AUSExternal AUS AUSFull Time AUS (4 weeks off) FRAPlein Temps France Plein temps stage (pas de vacances) USAFull Time USA (4 weeks off) Uncategorized Data Practice Data Engineering Apply AI/ML Engineer (H/F) On-site — FRAPlein Temps France Nantes Apply Architecte Data - F/H Hybrid — FRAPlein Temps France Bordeaux Apply Architecte Data (F/H) Hybrid — FRAPlein Temps France Lille Apply Architecte Data (F/H) Hybrid — FRAPlein Temps F
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Recruiting Analytics: Data Analytics & Engineering Abou
$143,600 - $177,200/yr
Analytics Engineer, Product Analytics Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. What you'll do - Own and maintain core product data pipelines across tools such as dbt, Databricks, Looker, and Omni Analytics, ensuring reliability and scalability - Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas - Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports - Establish trusted partnerships with product managers, engineers, analysts, and leadership, serving as the go-to resource for product data insights and technical guidance - Lead analytics engineering efforts for high-impact product launches, including documentation of tr
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.Join us in building honest financial products that improve lives. At Affirm, we’re reimagining credit to make it more transparent and accessible. We believe in empowering people to buy now and pay later, with no hidden fees or compounding interest. Our Data Pla
GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progre
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt
Product Analytics is expanding, and we’re looking for an experienced Staff Engineer to lead the technical direction of our user analytics platform. This group builds services that help customers understand users behaviors: when they return, where they drop off, and how product changes affect retention and growth. This is a young and fast-growing product area for Datadog. It brings new types of users into the platform extending our reach beyond our traditional engineering audience: Prod
Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challeng
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