<h2><strong>The Role</strong></h2> <p>As a Senior BI Analyst in the Reporting & BI team, you will be the owner of HelloFresh's data landscape for your domain. You will build and maintain the data infrastructure that powers executive decision-making — from creating data pipelines and ETL jobs to building executive-level dashboards and conducting deep-dive analyses.</p> <p>You combine analytical depth with engineering capabilities: translating ambiguous business questions into actionable insights and own end-to-end delivery — from raw data ingestion through transformation pipelines to polished dashboards and strategic recommendations that reach C-suite stakeholders.</p> <p>This role is ideal for someone who thrives at building things: pipelines, data models, dashboards, and insights — all while ensuring data quality, scalability, and business impact.</p> <h2><strong>What You'll Do: The Recipe</strong></h2> <ul> <li><strong>Design, develop, and maintain ETL/ELT pipelines </strong>using <strong>dbt, Databricks, Spark SQL, and Airflow</strong> — transforming raw data into robust, scalable models that power analytics across the business</li> <li><strong>Act as the steward of your domain's data landscape:</strong> implement automated data quality checks, monitoring, and alerting to proactively catch issues, and troubleshoot pipeline failures with timely root-cause fixes</li> <li>Write <strong>performant, maintainable SQL for large-scale data </strong>transformations and collaborate with central Data Engineering teams on schema design and technical requirements</li> <li><strong>Build and maintain executive-level BI dashboards (Tableau, Databricks) </strong>and conduct <strong>deep-dive analyses</strong> that translate complex, ambiguous business questions into data-driven strategic recommendations</li> <li><strong>Own critical business reporting</strong> (WBRs, QBRs, forecasting) and act as the trusted analytics partner across Product, Marketing, Finance, and Operations — ensuring insights are accurate, timely, and actionable</li> <li>Document <strong>data models, pipelines, and methodologies </strong>to enable self-service, and mentor junior analysts and engineers on SQL best practices, data modeling, and stakeholder communication</li> </ul> <h2><strong>What You'll Bring: The Ingredients</strong></h2> <ul> <li><strong>6+ years</strong> of experience in BI Analytics, Data Engineering, or Analytics Engineering — ideally in a fast-paced B2C, subscription, or growth-oriented business</li> <li><strong>Advanced SQL</strong> proficiency and <strong>data pipeline experience</strong> — comfortable with complex transformations, performance-tuning, and building/troubleshooting ETL/ELT pipelines at scale</li> <li><strong>Modern data stack tools</strong> — hands-on experience with dbt, Databricks, Spark SQL, Airflow, or similar orchestration and transformation tools</li> <li><strong>Data modeling expertise</strong> — strong understanding of dimensional modeling, star schemas, and designing scalable data models</li> <li>Proven ability to build and maintain <strong>BI dashboards</strong> (Tableau, Databricks, Looker, or similar) that reach senior leadership</li> <li><strong>Stakeholder management</strong> — experience translating ambiguous business challenges into structured analytical work and influencing cross-functional partners (Product, Marketing, Finance, Operations)</li> <li><strong>Ownership mindset</strong> — proactively identifies issues, drives solutions, and takes accountability for data quality and delivery</li> </ul> <h3>Nice to Have:</h3> <ul> <li><strong>Python</strong> for data transformation, ad-hoc analysis, automation, or lightweight modeling</li> <li>Experience with <strong>data monitoring and alerting</strong> frameworks (Great Expectations, Monte Carlo, dbt tests)</li> <li>Experience with <strong>event-level behavioral data and tracking design</strong> (Snowplow, Google Analytics, Segment, GA4) — schema design, entity modeling, event naming</li> <li>Exposure to <strong>statistical modeling techniques</strong> — segmentation, clustering, regression, cohort analysis</li> <li>Experience with <strong>cloud data platforms</strong> (AWS, GCP, Azure) or data migration projects.</li> </ul> <h2><strong>What we offer: The Toppings</strong></h2> <ul> <li><strong>Global collaboration at scale:</strong> Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.</li> <li><strong>Technology with real-world impact:</strong> Build and operate modern systems at a global scale, supporting 6+ million customers and complex supply chain operations.</li> <li><strong>Technical/Product/Design leadership:</strong> Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.</li> <li><strong>End-to-end development/delivery:</strong> Drive decisions from problem definition to production, improving systems and enabling long-term scalability.</li> <li><strong>Access to the workspace at Warsaw Centre Point.</strong> The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and re