Senior BI Analyst, Reporting & BI

The Role 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. 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. 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. What You'll Do: The Recipe • Design, develop, and maintain ETL/ELT pipelines using dbt, Databricks, Spark SQL, and Airflow — transforming raw data into robust, scalable models that power analytics across the business • Act as the steward of your domain's data landscape: implement automated data quality checks, monitoring, and alerting to proactively catch issues, and troubleshoot pipeline failures with timely root-cause fixes • Write performant, maintainable SQL for large-scale data transformations and collaborate with central Data Engineering teams on schema design and technical requirements • Build and maintain executive-level BI dashboards (Tableau, Databricks) and conduct deep-dive analyses that translate complex, ambiguous business questions into data-driven strategic recommendations • Own critical business reporting (WBRs, QBRs, forecasting) and act as the trusted analytics partner across Product, Marketing, Finance, and Operations — ensuring insights are accurate, timely, and actionable • Document data models, pipelines, and methodologies to enable self-service, and mentor junior analysts and engineers on SQL best practices, data modeling, and stakeholder communication What You'll Bring: The Ingredients • 6+ years of experience in BI Analytics, Data Engineering, or Analytics Engineering — ideally in a fast-paced B2C, subscription, or growth-oriented business • Advanced SQL proficiency and data pipeline experience — comfortable with complex transformations, performance-tuning, and building/troubleshooting ETL/ELT pipelines at scale • Modern data stack tools — hands-on experience with dbt, Databricks, Spark SQL, Airflow, or similar orchestration and transformation tools • Data modeling expertise — strong understanding of dimensional modeling, star schemas, and designing scalable data models • Proven ability to build and maintain BI dashboards (Tableau, Databricks, Looker, or similar) that reach senior leadership • Stakeholder management — experience translating ambiguous business challenges into structured analytical work and influencing cross-functional partners (Product, Marketing, Finance, Operations) • Ownership mindset — proactively identifies issues, drives solutions, and takes accountability for data quality and delivery Nice to Have: • Python for data transformation, ad-hoc analysis, automation, or lightweight modeling • Experience with data monitoring and alerting frameworks (Great Expectations, Monte Carlo, dbt tests) • Experience with event-level behavioral data and tracking design (Snowplow, Google Analytics, Segment, GA4) — schema design, entity modeling, event naming • Exposure to statistical modeling techniques — segmentation, clustering, regression, cohort analysis • Experience with cloud data platforms (AWS, GCP, Azure) or data migration projects. What we offer: The Toppings • Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing. • Technology with real-world impact: Build and operate modern systems at a global scale, supporting 6+ million customers and complex