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Data Analyst

  • On-site, Hybrid
    • Deinze, Oost-Vlaanderen, Belgium
  • Data

Shape a data-driven culture in one of Belgium’s fastest-growing scale-ups. Own impactful analyses across marketing, subscriptions and operations using a modern data stack.

Job description

Join Just Russel as a Data Analyst

Hi there, pleased to meet you 👋
At Just Russel, we’re on a mission to change the way we care for pets, through convenience, preventive health and data-driven decisions. Our ambition? Becoming the leading D2C European Pet Care company, excelling in customer-centricity, pet health, fun and convenience.

As #6 in the Deloitte Fast 50 Belgium, our rapid growth proves we’re on the right track, and we’re only getting started.

Your Impact

We’re looking for an experienced Data Analyst to help make data a true competitive advantage at Just Russel. You’ll play a key role in turning data into insights that directly influence strategic and operational decisions across the business.

You’ll work in a modern Google-based data stack, alongside data engineers, analysts and data scientists, in a collaborative and fast-growing environment. This role reports to the Tech Lead and is based in Nevele (near Ghent).

From Data to Business Value

  • Translate complex data into clear, actionable insights for stakeholders

  • Analyse marketing, e-commerce and subscription performance (conversion, retention, churn, CLTV, reactivation, …)

  • Perform deep-dives into customer behaviour, pet health engagement and operational performance

  • Support and enrich predictive models and insights together with data scientists

  • Act as a trusted advisor for data-driven decision-making

Your Toolbox

  • Work with BigQuery, Looker and Looker Studio, and Python for advanced analyses

  • Build and maintain clear, reliable dashboards, from BI tooling to custom solutions (Streamlit, Dash, …)

  • Own and improve core company reporting (weekly/monthly reviews, KPI dashboards for marketing, ops, finance, product)

  • Collaborate closely with data engineering on data models, pipelines and analytics requirements

Experimentation & Measurement

  • Support A/B testing and experimentation from hypothesis to impact analysis

  • Define success metrics, guardrails and quantify business impact

Collaboration & Data Culture

  • Bring a growth mindset and can-do mentality

  • Share knowledge, mentor teammates and stay curious through collaboration

  • Help define and document data definitions, logic and naming conventions

  • Proactively flag data quality issues and contribute to sustainable solutions

Job requirements

Who you are, technically

  • 4–5+ years experience as a Data Analyst or BI Analyst, ideally in e-commerce, subscription or digital product environments

  • Strong SQL skills and hands-on experience with a modern data stack (BigQuery, dbt, dltHub, Looker Studio, Streamlit or similar)

  • Comfortable working with marketing and digital analytics data (GA4, Meta & Google Ads, attribution models, funnels, cohorts, retention, CAC vs CLTV)

  • Experience with Python or R for deeper analysis is a plus

  • Solid understanding of modern data architecture concepts is a bonus

Who you are as a colleague

  • Highly analytical and structured, you turn vague questions into clear, actionable insights

  • You thrive in a fast-growing scale-up, knowing how to prioritise and drive impact

  • A strong communicator, you tell clear and convincing stories with data, in slides and meetings

  • Business-minded: you focus on impact and decisions, not just dashboards

  • Proactive, curious and autonomous, you challenge assumptions and suggest improvements

  • You enjoy working cross-functionally with marketing, product, operations, finance and tech

Education & Language

  • Master’s degree in Data Science, Computer Science, Statistics, Economics, Engineering, Business Analytics or a related quantitative field (or equivalent experience)

  • Fluent in English is essential, Dutch is a strong plus

or

On-site, Hybrid
  • Deinze, Oost-Vlaanderen, Belgium
Data