Analytics Engineer Jobs

Senior Software Engineer Journey Analytics

From $806/yr

The Journey Analytics team provides the technical foundation for a data-driven Essent. In recent years, the team has built a modern analytics platform to replace our previous marketing technology. Using technologies such as RudderStack and Amplitude, we collect and process behavioural data reliably. Our focus is now shifting towards the continued development, integration and governance of the platform. You will work with web analysts, data analysts, product teams, marketers and software engineers. The technical landscape and the dependencies between systems are complex. That is why we are looking for an experienced engineer who maintains a clear overview, provides technical direction and connects technology, people and processes. Taking the next step in the energy transition. We can only do this by working together and taking ownership. As a Senior Software Engineer Journey Analytics, you will focus on: * Further developing our data pipeline, with a focus on reliability, automation, scalability and governance * Integrating analytics solutions with websites, apps, marketing platforms and other digital systems * Developing and maintaining shared measurement standards, identification conventions and data collection rules * Advising teams on technical and functional decisions within analytics, marketing and personalisationImproving code, architecture, development processes and collaboration between different teams * Enabling insight into the complete customer journey across different channels Frank Haverkort, Engineering Manager: “In this role, you will be part of the Journey Analytics team. The team consists of four colleagues who work on the analytics platform, data integrations and measurement standards. Together, we provide reliable behavioural data that enables Essent to make better decisions. What characterises us is that, as a small team, we work closely with several technical and commercial teams and have a significant influence on Essent’s digital landscape.” We are looking for team players and people who take action to help make the Netherlands more sustainable. People who focus on what can be done right now, today, to bring us closer to tomorrow. You recognise yourself in this and in the following: * You have extensive experience with modern JavaScript and TypeScript environments and Node.js * You have experience with continuous integration and continuous delivery, preferably using GitLab CI * You have experience with Infrastructure as Code and technologies such as AWS CDK, Terraform and Docker * You have experience with data pipelines, event-driven architecture and designing, building or managing analytics and tracking solutions * You have experience with technical decision-making and stakeholder management within a complex organisation Experience with RudderStack, Segment, Amplitude, session replay, A/B testing, Angular, React Native, data engineering or marketing technology is an advantage. Experience in a consultancy role or an environment with complex IT landscapes would also be helpful. Do you not have experience with all the additional technologies? We still encourage you to apply. At Essent, you will have the opportunity to develop your knowledge further. The ideal candidate for this position has an above-average ability to analyse, collaborate, provide direction and communicate clearly. We appreciate the energy and motivation you bring to your work, enabling us to be the energy partner our customers can rely on. In return, we offer you an attractive benefits package: * The chance to contribute to the energy transition in the Netherlands from your expertise! * A gross monthly salary between €5.806 - €8.253 * A flexible benefit budget that you save up each month as you wish, have paid out or use for leave. This budget is made up of the following: 8% holiday pay, 1.8% benefit contribution, 10 days off in excess of the statutory entitlement * An annual result-dependent bonus of 10% to further express our appreciation * The opportunity to work hybrid. Prefer a workation? Again, we have a nice arrangement for 20 days a year * Discount on your energy bill and on all energy products (solar panels, heat pump, maintenance, etc) * A beautiful head office within walking distance of Den Bosch Central Station, including a good coffee bar, a company restaurant and free fresh fruit * An NS Business Card for commuting or a kilometre allowance. You decide * Development opportunities and a personal development budget. Job-related training, education and courses are also at our expense. * International ambition? As part of the E.ON. Group we also offer you plenty of development opportunities within the other E.ON countries * And last but not least: an environment in which you can be yourself. For us, only who you are and what you can do counts. Feel free to leave out your gender, nationality and age on your CV This is your opportunity to join Essent as a Senior Software Engineer Journey Analytics, apply before October 31st. Curious about what happens next? See the steps in our application process below. Als energieleverancier helpen we ruim 2,5 miljoen klanten in de particuliere en zakelijke markt. Met onze merken Essent, Energiedirect, Vandebron en Powerhouse en onze servicepartners door heel Nederland helpen we onze klanten met de volgende stap in de energietransitie. Met duurzamer leven en energie besparen. Dat doen we met producten zoals zonnepanelen, warmtepompen en isolatie voor een energiezuinige woning. Daarnaast investeren we volop in innovatieve oplossingen die onderdeel uitmaken van het energiesysteem van de toekomst, zoals waterstof en warmte- en koudeoplossingen. Essent is onderdeel van de E.ON Group.

Analytics Engineer

From $200/yr

Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact Mollie has an important role and responsibility in the financial ecosystem, handling customer funds with a high degree of diligence and scrutiny. The financial services domain sits at the core of Mollie, it orchestrates all money movements to power all of Mollie's financial products. Analytics engineering plays an important role in this ecosystem, as these core financial processes handle massive, complex volumes of data originating from different internal systems. By establishing robust data pipelines, maintaining automated data quality checks, and fostering deep collaboration with cross functional partners in Engineering and Treasury & Merchant Finance, the Analytics Engineering team ensures full data integrity and enables the daily reconciliation of Mollie's books. You will be working on creating and maintaining critical data assets that enable Mollie to reconcile their books. This involves creating and maintaining solid dbt data models from raw source data to consumable mart tables. You will play a part in creating and maintaining tooling to visualize and report the required data, mostly in our BI tooling that makes it easy for the end user to extract the required data. To do this, you will be working closely with engineers to understand the inner workings of Mollie's money movements and, most importantly, get the correct data. You will also be collaborating with Merchant Finance & Treasury to make sure they can do daily reconciliation in our BI tooling. What you'll ship Build and maintain dbt data models, from raw source data to consumable mart tables, powering tooling and dashboards that monitor critical financial processes. Work closely with engineers to understand how Mollie's money movements and financial processes work to make sure you model the data correctly Partner with stakeholders across Merchant Finance &, Treasury domain to define and track key financial data, and enable daily reconciliation Implement data quality validation checks, testing frameworks, and proactive monitoring to ensure high trust in the data used for analysis and decision making What you'll bring Strong technical foundation in SQL; experience with data modelling and automation Strong level of dbt; experiene in BigQuery/GCP and Airflow are a plus. Ability to take a helicopter view to zoom in and out to determine what really matters Skilled at stakeholder management, especially across technical and non-technical teams. Willingness to challenge senior stakeholders on their assumptions and requests. Experience in financial data and financial processes is a big plus; experience in fintech and/or banking. Business-aware, impact-driven, and curious Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us. Find Jobs in Netherlands on Arbeitnow

Lead Analytics Engineer

From $201/yr

Do you love turning messy business questions into data people can trust? Can you connect the customer journey from the first marketing touch through sales conversion, revenue, retention, and product usage and explain the numbers equally clearly to an engineer, a CMO, and a CFO? AIHR is looking for a Lead Agentic Analytics Engineer to become the hands-on functional lead of our two-person Data & Analytics team. You will own the translation of cross-functional business questions into trusted metrics, governed semantic models, and decision-ready agentic analytics; set the analytical direction; and build the most critical models yourself. You are transforming raw data into governed products that drive decision-making for our business partners. About AIHR Founded in 2016 with the mission to future-proof HR, the Academy to Innovate HR (AIHR) has become the global market leader in online training for HR professionals. We support customers in more than 140 countries, including organizations such as Unilever, Reckitt, Goldman Sachs, Philips, Deloitte, Nike, Heineken, and UBS. Our goal is to continuously upskill and empower one million HR professionals. Today, we are an international team of more than 100 people representing over 30 nationalities. We are driven by excellence, innovation, and a hunger to grow, while staying friendly, enthusiastic, and committed to helping each other succeed. Working at AIHR means taking real responsibility, improving how we operate, and getting the freedom to develop in new areas and shape your role as the company grows. Role and Responsibilities AIHR's Data & Analytics team is part of Business Operations. You will work alongside Vahid, our Senior Data Engineer, and report to Leo, our VP of Business Operations. Our ingestion and warehouse foundation is largely established: data from systems such as HubSpot and our own LMS moves through ETL pipelines into Snowflake. Through special Projects, we are building governed semantic layers on top so the business can self-serve trusted analytics through Power BI, Metabase, and AI tools. Your role owns the step that matters most: translating a business question into a clear definition, a well-designed model, and conversational/agentic analytics that your leadership trusts. You will set the analytical architecture, dbt standards, and roadmap, while Vahid focuses on ingestion, warehouse reliability, and engineering implementation. You will both build: you will personally deliver the most critical business models, review implementations, and ensure the outputs are usable by the business. This role has no direct reports. Your colleague, Vahid, remains managed by the VP of Business Operations, while you have clear functional decision rights over metric definitions, semantic-model design, analytical quality, dbt standards, and technical priorities. It is designed for someone who wants to lead through expertise while remaining close to the work. What You'll Own Own and execute a rolling one-year Data & Analytics roadmap, balancing urgent business needs with foundational work. Guide Vahid through clear priorities, design reviews, code review, and reusable modeling patterns. Lead discovery across Marketing, Sales, Customer Success, Product, and Finance to uncover the decision behind a request and translate it into agreed metric definitions, governed semantic layers, and data models that connect the full customer lifecycle. Set the analytical architecture and dbt standards; design, build, test, and document the most critical governed models yourself using SQL and dbt. Own the full-funnel measurement framework—from marketing reach, demand generation, attribution, and customer acquisition cost through lead and pipeline conversion, sales cycle, bookings, and revenue to onboarding, product adoption, expansion, renewal, churn, and customer lifetime value. Keep core recurring-revenue definitions finance-grade and reconciled while showing how upstream activity drives downstream customer outcomes. Own the logic and quality behind executive dashboards and self-service analytics across Power BI, Metabase, and AI-enabled interfaces. Present the results to senior leaders, explain every assumption, and respond constructively to challenge. Partner closely with Vahid on warehouse and pipeline requirements, resolve conflicting numbers at the source, and raise the technical quality of the team. Apply AI where it improves development speed or data access, while using sound judgment around privacy, governance, validation, and trust. A Typical Week This is a hands-on lead role. The exact balance will shift with business priorities, but you should expect roughly half your time to remain close to the data—building, reviewing, and investigating—and the rest to be split across discovery, functional leadership, and decision support. Design or improve a dbt model that connects data across HubSpot, our LMS, billing, or other source systems; write the SQL, tests, documentation, and metric logic needed to put it into production. Run discovery sessions with leaders in Marketing, Sales, Customer Success, Product, or Finance to clarify the decision they need to make, challenge the requested metric, and agree on the definition. Work side by side with Vahid on source-data requirements, architecture choices, and implementation; review code and unblock delivery without handing off all of the technical work. Investigate a commercial or customer-lifecycle question, improve an executive or functional dashboard, and present the conclusion—including assumptions and limitations—to the relevant leadership team. Reprioritize the Data & Analytics roadmap, resolve competing requests, and invest in the semantic layer, governance, and reusable modeling foundations that reduce future ad hoc work. What Success Looks Like Within your first three months, you have established a clear operating model with Vahid, mapped ownership of the most important metrics, agreed the Data & Analytics roadmap, and resolved at least one material conflicting-number problem. Within six months, AIHR has a governed customer-lifecycle domain in dbt and an executive view connecting acquisition and pipeline to revenue, retention, and product usage, and has launched the first MVP of our agentic analytics platform to drive self-serve adoption. The underlying definitions are documented, reconciled where relevant, and trusted across Marketing, Sales, Customer Success, Product, and Finance. Within twelve months, two or three priority business domains are governed end to end, leadership can trace performance from acquisition through lifetime value using consistent numbers, self-service adoption is growing, and Vahid can independently implement the modeling patterns and quality standards you established. Throughout, you remain hands-on in SQL, dbt, Snowflake, and analytics while setting direction, coaching through the work, and earning leadership's trust in both the numbers and the roadmap. We offer A high-impact role as the functional lead of a small Data & Analytics team, with end-to-end ownership of the semantic layer behind company-wide decisions. Competitive, benchmarked compensation. Substantial autonomy to shape your day-to-day work, with regular growth conversations and support for your career goals. Flexible working hours and work-from-home arrangements after onboarding. 26 paid holidays per year, plus one extra day for each of your first five years at AIHR. The option to exchange any two public holidays for two days of your choice. A work-from-anywhere policy that lets you work abroad for up to 20 days per calendar year. A pension plan, four Trust Days for ad hoc recovery, and access to the OpenUp mental health platform. A personal development budget, training opportunities, and the books you need to keep learning. All public-transport expenses covered through an NS Business Card, plus a MacBook and the equipment you need. A beautiful office opposite Rotterdam Central Station, a satellite office in Amsterdam, daily chef-prepared lunch, regular drinks, team activities, and free access to the office gym. Get a taste of working at AIHR in our AIHR Benefits Guide . Apply for the Job Are you excited to become our Lead Analytics Engineer? We would love to hear from you. We are aiming for a start date in December 2026 or January 2027. P.S. If this role excites you but you do not meet every point, we still encourage you to apply. We care about the evidence behind your experience and your potential to grow—not a perfect checklist. Who you are You are a hands-on technical leader: commercially sharp, calm under challenge, and confident enough to defend your numbers in any room. You also have the patience to build data foundations properly and raise the quality of the work around you. You bring 5+ years of experience across analytics engineering, BI, data engineering, or business-facing analytics roles, including substantial recent hands-on analytics engineering and evidence of leading work beyond your own delivery. You have a proven track record of building semantic layers or governed dimensional models end-to-end—from business discovery and metric definition to production models and adoption—not only dashboards. You have expert SQL and data modeling skills, strong production experience with dbt, and hands-on experience with Snowflake or a comparable warehouse, along with a BI tool such as Power BI, Looker, Omni, or Metabase. You bring strong financial acumen, but your analytical experience extends across the full customer lifecycle. You can connect marketing acquisition and attribution, sales pipeline and conversion, revenue and unit economics, customer retention and expansion, and product adoption into one coherent model. You understand how bookings, billings, recognized revenue, cash, ARR, and NRR differ without treating financial reporting as the whole analytical problem. You have worked in a B2B SaaS, subscription, fintech, or marketplace business and have modeled several stages of the funnel spanning marketing or growth, sales, customer success and retention, and product usage—rather than specializing in only one function. You explain complex logic in plain language, push back constructively on senior stakeholders, and build trust without becoming defensive—even when you discover that your own number or assumption needs to change. You take pride in driving the analytical roadmap and architectural vision, leading technical work through architecture and code review, and mentoring experienced colleagues without relying on formal authority. You want the majority of your role to remain hands-on. You balance pragmatic execution with rigorous analysis, adapting precision levels to fit business needs and operational constraints. You are used to leveraging a broad range of AI tools to boost your productivity and know how to configure them to produce output that lives up to our quality standards and best practices Nice to Have Earlier experience in RevOps, Growth, FP&A, product analytics, or commercial analytics, ideally combined with experience in a fast-growing scale-up. Experience with HubSpot, marketing automation and attribution data, subscription or billing data, LMS or product-usage event data, Personio, or building semantic layers for AI-enabled and conversational analytics. Find Jobs in Netherlands on Arbeitnow

Senior Analytics Engineer