Product Data Lead at GoodHabitz

Eindhoven, North Brabant, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Data Foundations, Taxonomy, Instrumentation, Tracking Plan, Activation Measurement, Retention Tracking, Metrics Ritual, Data Integrity, Identity Plumbing, SQL, Modeling, Dashboarding, Systems Thinking, Pragmatic Execution, Stakeholder Leadership, Data Quality

Industry

E-Learning Providers

Description

At GoodHabitz, we are building an activation-first product strategy that helps learners start, stick, and get value fast — across both LMS-integrated and native platform experiences. We are hiring a Product Data Lead to found and shape the product data discipline from the ground up. This role goes beyond analysis: you will design the event taxonomy, instrumentation standards, and modeled analytics foundations that make product decisions measurably defensible. You will partner closely with Product and Engineering to turn messy, fragmented data into a trusted system (funnels, cohorts, retention), and install a repeatable metrics ritual that enables leadership to steer activation → engagement → retention → GRR with clarity. As the discipline matures, you will help define how product data scales — through systems, processes, and potentially team expansion — based on demonstrated impact rather than pre-set headcount. This role reports to the Director of Product and will have high visibility across product and executive leadership. Key Responsibilities Product Data Foundations (Taxonomy + Instrumentation) Define and drive adoption of a product event taxonomy and naming conventions for the highest-leverage activation surfaces. Partner with engineering to implement and maintain a tracking plan, including clear ownership and change management. Establish instrumentation quality monitoring so broken or missing events are detected early. Create clear documentation so teams can use events consistently across products and regions. Activation & Retention Measurement (Funnels + Cohorts) Build a working activation funnel that supports segmentation (LMS vs Platform, coach vs no coach, key cohorts), and is used in product reviews. Create D0/D7/D14 (and beyond) retention tracking for key cohorts with explicit cohort definitions and repeatable models. Translate product questions into robust analysis patterns, and teach teams how to self-serve. Executive Narrative & Metrics Ritual Install a monthly or bi-weekly product metrics ritual with a small set of agreed metrics, definitions, and owners. Produce a clear “Activation → Engagement → Retention → GRR” measurement narrative that leadership can rely on. Surface risks and data integrity gaps early, and propose sequencing to resolve them. Cross-Functional Partnership & Structural Enablement Clarify the working model between product data, analytics engineering, and domain teams (who builds what, and what gets prioritized). Define requirements for critical identifiers and align stakeholders on scope and sequencing. Lead the design and sequencing of critical identity plumbing (e.g., account-level joins across product and revenue systems) to enable reliable product → retention analysis. Balance speed with rigor: ship practical v1 models and dashboards, then iterate as the system matures. Requirements Proven experience building a product data system end-to-end, including instrumentation, modeling, and dashboards. Comfortable operating as a hands-on individual contributor in year one (SQL, modeling, dashboarding), while gradually evolving the discipline’s structure and scope. Experience owning or leading a tracking plan, event taxonomy, and naming conventions in partnership with engineering. Ability to translate ambiguous product and business questions into clear measurement definitions and durable analytics assets. Track record of improving trust in data through data quality practices, monitoring, and clear documentation. Experience working with B2B SaaS product teams, ideally with multi-surface journeys and integrated environments. Comfortable working across Product, Engineering, and Revenue/CS stakeholders to align on metrics and priorities. Skills & Competencies Systems thinking: can reason about instrumentation, identity, and modeling tradeoffs across multiple product surfaces. Outcome orientation: focuses on observable change in how decisions get made, not dashboards for their own sake. Pragmatic execution: ships v1 foundations quickly, then iterates toward structural quality. Clear communication: can explain definitions, assumptions, and limitations plainly to non-technical stakeholders. Stakeholder leadership: aligns teams on shared definitions and navigates debates about ownership and prioritization. High standards for data integrity: actively raises the bar on event quality and trust in metrics. Become part of the leader online training company in the European market, the benchmark in our sector, and help organisations thrive while you grow professionally at a trailblazing company with unstoppable momentum on an exciting growth journey even as others in the industry face challenges. 💰 Competitive salary and role-specific performance bonus because we value your contributions and reward your hard work. 🏖️ Paid time off – 25 days holiday. 🚆 Travel budget. 💻 Flexible work & tools – work in a supportive environment with the comforts you need, plus a laptop. 📈 Growth & development – unlimited access to GoodHabitz resources and MyAcademy to fuel your personal and professional growth. 🧠 Mental coaching – support from our partner, OpenUp to keep your mind in top shape. 🌍 Diverse & inclusive teams – work with colleagues from across Europe, bringing different cultures, perspectives, and ideas together. 🎉 Themed events & team-building – from creativity workshops to vitality socials, our events are full of energy and fun surprises. 🤝 Annual Do-Good Day – a fully paid day to do volunteer work, alone or with your team, supporting a cause you care about. 🛡️ Pension & insurance – disability and pension coverage for your long-term security. Applying is easy: ✔️ Submit your application. ✔️ We’ll get back to you within 5 working days. If you're interested and want to learn more, feel free to contact our recruiters, via email: recruitment@goodhabitz.com

Responsibilities

The Product Data Lead will establish the product data discipline by designing the event taxonomy, instrumentation standards, and foundational analytics models to support measurable product decisions. This involves partnering with Product and Engineering to build trusted systems for funnels and cohorts, and installing a repeatable metrics ritual for leadership steering activation through retention.