About the role PTI are looking for an ambitious Data \& Insight Analyst to support our Consulting team, delivering for our wide ranging client base. If you love sport, love live entertainment and love the challenge of helping our clients on a digital-led business transformation journey we want you in our team! Objectives of the Role Working with the Lead Data \& Digital Consultant, support the development of PTI’s Data and Digital Maturity Models to roll out across the PTI client base Act as lead on the development and maintenance of reporting solutions for PTI clients, using BI tools Support the development of business modelling and financial forecasts for PTI clients, turning data into actionable insights Where necessary, act as a team member of the client’s internal team on an ad-hoc or extended periods, based on client needs Support the Lead Data \& Digital Consultant in prospect and discovery meetings through information gathering e.g. client needs, client goals, defining the ‘as is’ state, and aligning to PTI offerings Help manage the requirements assessment and initial write up of RFP’s for key PTI clients in relation to their data needs Through the use of data visualisation tools such as Tableau, Power BI, etc., Interpret data, analyse results using statistical techniques and provide ongoing reports and insight to client businesses as well as PTI internally Locate and define new process improvement opportunities internally and potentially externally for clients Support of the Chief Data and Digital Officer, Data \& Digital Director, and Lead Data \& Digital Consultant in key data (and digital) tender processes for PTI clients Help in the delivery of audits, strategy documents and roadmaps for PTI clients – taking some ownership of particular clients or areas of a client’s delivery Pro-actively research key data trends in the sports and entertainment verticals (and also other verticals that could cross over) Responsibility for the daily management of client data within PTI’s suite of data tools, ensuring data accuracy and security are maintained
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. Job Description More about our mission and what we offer . We are looking for a Lead Data Analyst to join the Wise Platform Pricing Analytics team at Wise. Wise Platform brings the reach and low cost of Wise to business partners - read more about Wise Platform here. The Wise Platform Pricing Analytics team manages the pricing model and P\&L analysis for Wise Platform. The team supports Wise Platform by calculating prices for partners, monitoring and reviewing the financial sustainability of the program, and finding opportunities to continue improving the growth and profitability of the company. This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here. What You’ll Be Doing * Proactively identify and propose the most relevant and strategic pricing and cost problems to solve for Wise Platform, ensuring solutions directly link to achieving profitability and growth outcomes * Lead deep-dive investigations into complex cost data, driving improvements in upstream data quality and revenue and cost allocation methodologies within the Product Economics domain * Explain the underlying product economics that contribute to prices, and liaise with subject matter experts to gather detailed knowledge on economic drivers * Monitor and review the financial performance of Wise Platform, surfacing insightful and actionable insights on the main drivers of profitability * Contribute to and influence improvements to the pricing model by applying detailed knowledge of costs and cost drivers to appropriate pricing strategies What You’ll Bring * 5+ years of experience in data analytics * Advanced stakeholder management skills; you know how to leverage multiple different teams to deliver high-impact change including analytics, engineering, and business specialists * Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights * Experience with dbt and robust data modelling, including the ability to navigate complex dbt projects and create reusable, maintainable data assets for scalable analytics Nice To Have But Not Essential * Experience working on Pricing, especially B2B Pricing * Experience working in Fintech or Financial Services * Experience using Lightdash or Superset * Knowledge of advanced analytics techniques, including the use of Python and statistical modelling Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
JOB DESCRIPTION Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment. Join us as our first Senior Data Analyst and shape a brand new data discipline within our platform team. You’ll have the opportunity to define what great data analysis looks like, promote a culture of data-driven decision making, and make a real impact by partnering with product management and engineering to deliver insights that steer business outcomes. If you’re hands-on, detail-oriented, and passionate about turning data into value, this is your chance to lead and innovate. Job Summary: As a Senior Data Analyst in the platform team, you will own our data-as-a-product strategy from start to finish. You’ll collaborate with product management, engineering, and senior stakeholders to build dashboards, queries, and reports, monitor KPIs, and translate business requirements into data outcomes. You’ll define and implement best practices for data analysis, manage the data analysis backlog, and champion data-driven decision making across the department. Job Responsibilities: * Build dashboards, queries, and insight reports for senior stakeholders * Monitor department KPIs and deliver actionable insights * Collaborate across teams to interpret requirements into data outcomes * Define, implement, and manage a new data discipline in the department * Promote a culture of data-driven decision making * Own the data analysis backlog and strategy for maximizing data value * Automate and scale data operations and reporting * Lead end-to-end data projects from requirements to implementation and monitoring * Translate business problems and customer requirements into data features Partner with product, engineering, operations, and leadership to influence decisions * Required Qualifications, Capabilities, and Skills: * Proficiency with dbt, BigQuery or similar, Looker Studio Pro, Airflow or similar, pandas/polars, numpy * Advanced SQL skills for complex queries * Python proficiency for data modelling and manipulation * Experience with BI platforms for dashboards and data storytelling * Strong data visualization and dashboard design skills * Experience working with large datasets from diverse sources * Strong statistical analysis, regression, SQL, and ETL skills * Ability to develop and validate hypotheses via A/B testing, forecasting, etc. * Experience with data governance, compliance, data quality, and controls Ability to communicate complex data findings to stakeholders at all levels * Preferred Qualifications, Capabilities, and Skills: * Degree in a quantitative field (Mathematics, Statistics, Computer Science, Economics) * Experience with cloud-native platform infrastructure (GCP, AWS) * Experience in financial services * Knowledge of predictive analytics and machine learning fundamental Why Join Us? You’ll be empowered to define and lead our data strategy, working in a collaborative, innovative environment where your insights drive real business impact. This is a unique opportunity to shape the future of data analysis in our platform team and make a difference for our company and clients. #ICBCareers ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. Job Description More about our mission and what we offer . We’re looking for an Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As an Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. Most importantly, you’ll collaborate closely with your operational leads, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission! This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here. THE ROLE We’re looking for a Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As a Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. Most importantly, you’ll collaborate closely with your operational leads, as well as workforce management, quality, training, and knowledge management, to bring your insights into real change for our customers and help drive our mission! Here’s How You’ll Be Contributing * Analytical Capacity Planning and Forecasting. Focus on building and refining analytical models for strategic capacity planning. Take ownership of forecasting efforts to align with business growth and operational demands. * Data Pipeline Ownership. Take ownership of data pipelines to maintain and improve data flow, ensuring reliability and accuracy. * Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning. * Strategic Support and Analysis. Provide critical insights to assess the operational health of FinCrime function, conduct in-depth cost analysis, and offer detailed analysis of operational metrics (including quality) to understand impacts on customer experiences. * Performance Tracking and Initiative Optimisation. Monitor and track the performance of key strategic initiatives, capitalising on optimisation opportunities to enhance operational outcomes. * KPI Implementation and Target Setting. Lead the development and implementation of the operations KPI tree and the target-setting framework, integrating these within reporting pipelines and strategic operations. * Stakeholder Collaboration and Process Standardisation. Collaborate closely with various stakeholders to standardise processes across forecasting, scheduling, and real-time operations, promoting continuous improvement and strategic alignment. Qualifications WHAT YOU’LL BRING * Quantitative Foundation. Ideally, you have a background in statistics, maths, physics, engineering, economics, or another scientific field. You apply first-principles thinking to break down complex operational problems. * A Statistical Mindset. You have a natural grasp of data logic. You don't just look at averages; you understand distributions, variance, and significance. You enjoy applying that rigor to messy, real-world operational data to separate signal from noise. * You have 4+ years of experience in analytics with demonstrated ability to approach complex problems with a strategic mindset, identifying innovative solutions that drive operational improvements. * You have a background working with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation. * You have experience working with complex data models in SQL (our warehouse is Snowflake) and analysing it using advanced SQL/Python/R * Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights * You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data You have a bias to action - you identify what needs to be done and make it happen. Some Extra Skills That Are Great (but Not Essential) * Prior experience in Operation domains * You have experience working with a WFM or Quality team. * You have experience working with WFM Systems * You have experience with forecasting techniques such as ARIMA, Holt-Winters, and other time series analysis methods Additional Information What Do We Offer * Salary: £75,000 - £115,000 * Company Restricted Stock Units * Numerous great benefits in our London office Key Benefits * Hybrid working + MobileWiser (Work from anywhere in the world up to 90 days a year) * Paid annual holiday, sick days, parental leave and other leave opportunities * 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Company Description Finalto is a global leader in liquidity provision and trading technology solutions, serving institutional and B2B clients across financial markets worldwide. With regulated entities in the UK, Singapore, Cyprus, Australia, and the UAE, and additional operational teams in Denmark and Bulgaria, we combine international reach with local expertise. Our business spans multi-asset liquidity, risk management, and cutting-edge trading platforms, supporting clients in achieving more efficient and sustainable growth. At the core of our success is our commitment to innovation, operational excellence, and robust governance. As part of a global financial services group, Finalto combines the scale and stability of an established organisation with the agility of a fintech innovator. We are driven by collaboration, integrity, and performance. Joining Finalto means becoming part of a diverse and dynamic team where your contributions have real impact. We invest in our people, offering opportunities for professional growth, international exposure, and the chance to shape the future of trading technology and liquidity solutions. Role Description We are looking for a Trading Data Analyst – Risk \& Client Analytics to join our Risk team in London. This role sits at the intersection of trading, risk, data, and analytics. The successful candidate will analyse trading activity, client behaviour, execution quality, market data, and risk exposure to support informed decision-making across Risk, Trading, Quant, Data, and Technology teams. This is not a pure reporting role. The role requires an investigative mindset and the ability to work with complex trading datasets to identify patterns, explain client flow, and provide practical insights that support decisions around client segmentation, pricing, execution setup, liquidity management, hedging strategy, and risk appetite. Key Responsibilities * Analyse client trading behaviour, profitability, execution quality, order-flow characteristics, market impact, and risk exposure. * Work with large trading and market datasets, including trade data, tick data, pricing data, execution data, order flow, and client-level performance data. * Identify meaningful trends, anomalies, behavioural patterns, risk concentrations, and changes in client or product performance. * Develop analytical approaches to better understand client flow, trading patterns, execution outcomes, and market-data behaviour. * Support business decisions relating to risk appetite, client segmentation, pricing, execution configuration, liquidity management, and hedging strategy. * Build and maintain dashboards, reports, and analytical tools that improve visibility of trading activity, execution performance, and trading risk. * Use Python, SQL, Databricks, and other data tools to extract, clean, transform, analyse, and visualise data. * Support automation of recurring analysis, monitoring, and reporting processes. * Collaborate with Data and Technology teams to improve data quality, pipelines, and analytical frameworks. * Communicate findings clearly to both technical and non-technical stakeholders. What We Are Looking For * Experience in data analysis, trading analytics, risk analytics, execution analytics, market data, or another data-intensive analytical environment. * Strong Python and SQL skills. * Familiarity with Databricks or similar data analytics platforms. * Strong analytical and problem-solving skills, with excellent attention to detail. * Ability to work with large, complex, and sometimes imperfect datasets. * Good understanding of statistics, data visualisation, and performance analysis. * Strong interest in financial markets, trading behaviour, execution quality, market microstructure, and client-flow analysis. * Ability to translate complex data into clear, practical recommendations for Risk, Trading, and senior management. * Clear communication skills and confidence working with stakeholders across multiple functions. Nice to Have * Experience with KDB/q, tick data, quote data, order lifecycle data, or high-frequency market data. * Exposure to client-flow analysis, execution analytics, trading-pattern analysis, or market-data analytics. * Familiarity with Java, C++, Streamlit, BI tools, dashboarding, or internal analytics applications. * Exposure to FX, CFDs, equities, futures, commodities, indices, crypto, or other traded products. * Understanding of trading concepts such as spread, slippage, liquidity, latency, order flow, execution quality, client profitability, hedging, and risk exposure. * Previous experience in a broker, liquidity provider, market maker, hedge fund, bank, trading firm, e-trading business, or fintech environment. Preferred Background * Degree in Computer Science, Mathematics, Statistics, Engineering, Quantitative Finance, Data Science, or a related quantitative discipline. * Relevant professional experience, ideally around 2–5 years, although we are open to candidates with equivalent experience and strong capability.
You’re a successful Technical Data Analyst ready to join a specialist data and analytics team within a leading UK awarding organisation. In this role, you will work with large scale data applying statistical analysis and data modelling to generate insights that inform key decisions, while also helping to improve processes and ensure consistency across all areas you are working on. This is an excellent opportunity for someone who enjoys working with complex data and wants to make a meaningful impact. You will be responsible for analysing and interpreting complex datasets and supporting statistical modelling for awarding decisions. You will produce clear reports, visualisations and insights that can be understood by both technical and non-technical stakeholders. Alongside this, you will contribute to the development and maintenance of automated data processes, helping to improve efficiency and reliability. You will work closely with internal teams to support policy implementation and continuous improvement, and you will also play a role in monitoring assessment quality and evaluating outcomes over time. Your experience sits within analysing data and producing reports. You will have strong skills in Python or R, and are proficient in Excel, and be confident in communicating complex insights clearly. It would be beneficial to have experience and familiarity with statistical or psychometric methods. Experience with tools such as SPSS, R, or Rasch or IRT software would also be advantageous. You will be analytical, detail-oriented and able to meet tight deadlines without compromising on accuracy. You will communicate effectively, work well both independently and collaboratively, and be comfortable adapting to changing requirements. You will be proactive, curious and open to learning new tools and techniques. This role offers the opportunity to work with high-impact data that directly influences educational outcomes. You will be part of a collaborative team, gain exposure to advanced analytical methods, and benefit from ongoing development and career progression opportunities. If you are passionate about data and want to contribute to improving at scale, reach our for more details.
As a Data Analyst at Reset Health, you will play a key role in supporting our goal to be a data-driven organisation. Working closely with our data engineers and stakeholders across the business, you will ensure high-quality, reliable, and well-structured data is available across the business. You will focus on building and maintaining data pipelines, transforming and modelling data, creating dashboards and generating insights that drive data-informed decision-making at front-line as well as Senior Leadership Team levels. This role suits someone who enjoys interrogating data to solve operational and strategic problems. It offers hand-on experience in a clinically-led and fast-paced digital health environment, where you will have the opportunity to contribute meaningfully to establishing our analytics function as well as out academic publications work. Responsibilities and Accountabilities * Clean, transform, and data for analysis and reporting (SQL, Python, and R skills desired). * Develop and maintain interactive dashboards and visualisations using BI tools. * Translate complex datasets into clear insights and recommendations for stakeholders. * Collaborate with technical and product teams to ensure data is correctly captured and structured. * Partner with business stakeholders to understand reporting needs and translate them into analytical outputs. * Review existing pipelines, DBT models, and databases to identify and resolve critical data issues. * Create comprehensive documentation for pipelines, models, and dashboards to support internal knowledge sharing. * Promote best practices in data quality, governance, and accessibility. * Provide statistical analysis to support academic publications. Requirements Essential * Proven experience in a data analyst or data engineering role. * Track record of building and maintaining data pipelines. * Demonstrated ability to deliver insightful dashboards and analytics. * Strong proficiency in SQL for querying, cleaning, and transforming data. * Skilled in BI and visualisation tools with an eye for design and accessibility. * Able to set up data tests and monitoring for data pipeline reliability * Ability to translate data findings into meaningful recommendations * Experience in R for in-depth statistical analysis. Experience collaborating with technical and non-technical teams. * Desirable * Degree in Data Science, Statistics, Computer Science, or related field. * Experience leading BI tool migration or implementation projects. * Proficiency in Python for data manipulation and code comprehension. * Knowledge of cloud environments (AWS) and data storage solutions (PostgreSQL) * Familiarity with modern data stack tools and cloud-based architectures. Other * Eligible to work in the UK. Benefits What we offer * Competitive salary of £35,000 to £45,000 per annum, depending on experience * Structured training and development, with exposure to clinical teams and digital healthcare services * Opportunities to build skills and progress within a growing digital health organisation * Private medical insurance * Enhanced parental leave * Enhanced sick leave * Pension scheme To apply, please send your CV along with a short note explaining how you meet the requirements and why you would like to join Reset Health. Interviews will be held on a rolling basis.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM ~90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation The Opportunity As a highly operational business, we rely on data to guide everything we do. We are a small but impactful data team that works on everything from operations research to optimise thousands of parcel deliveries daily, to detailed business metrics that drive our expansion and investment decisions, and everything in between. We are looking for a Senior Data Analyst to work on End Customer. This role is an opportunity to apply your analytical skills directly to the design and performance of critical logistics infrastructure as we scale. You’ll work closely with squads across routing, sortation, first mile, middle mile, last mile, marketplace, and our commercial functions, and collaborate with operations, product, and engineering to identify problems, shape hypotheses, and deliver insight. You’ll be an embedded contributor within key cross-functional squads, with strong exposure to real-world operations and the opportunity to drive meaningful change through data. End Customer Customer Delivery Experience \& Preferences: Analyse customer delivery behaviors and preferences to optimize collection rates and safe place adoption. Examine delivery attempt data, customer notifications, and interaction patterns to understand what drives successful handovers versus customer collections. Use experiments and simulations to refine delivery windows, notification timing, and safe place recommendations, reducing courier handover time while improving overall delivery success rates. End Customer Product Analytics: Analyse how customers interact with Relay's end customer-facing features across delivery tracking, notification channels, and collection workflows. Run experiments to evaluate the impact of communication timing, delivery option visibility, and interface changes on customer engagement, collection rates, and delivery preferences. Translate customer behavioral insights into actionable product improvements that drive customer-centric decision-making and measurable operational outcomes. Who Will Thrive in this role? Define key performance indicators and build dashboards that make operational performance transparent and actionable Support analysis of operational performance and help identify levers for improvement Translate business problems into analytical questions – and analytical results into clear, actionable recommendations Collaborate with data scientists, engineers, and operators to build data tools and surface performance insights Contribute to scoped data projects from definition to delivery, with support from an experienced team of data professionals 5+ years of experience as a data analyst or in a similar role Strong SQL skills and experience with BI/data visualisation tools Well-developed analytical and problem-solving skills, with a proven ability to derive insight from complex data Effective communication skills – you can clearly explain analytical findings to both technical and non-technical audiences A commercial mindset – you care about impact, not just insight Compensation, Benefits \& Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success. Private health \& dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.*