--- title: "Senior BI Analyst, Reporting & BI (m/f/x)" company: "Hello Fresh UK" company_url: "https://www.remjobs.works/companies/hello-fresh-uk" url: "https://www.remjobs.works/job/hello-fresh-uk-senior-bi-analyst-reporting-bi-m-f-x-a56c7f56-f504-4679-9f60-416317ea8342" apply_url: "https://careers.hellofresh.com/global/en/job/8179939?gh_jid=8179939" workplace: onsite location: "Berlin, Berlin, Germany" employment_type: unspecified seniority: senior role: other region: europe skills: ["airflow", "aws", "azure", "databricks", "dbt", "gcp", "looker", "python", "spark", "sql", "tableau"] date_posted: 2026-09-21T16:28:51.000Z first_seen_by_remjobs: 2026-09-21T16:47:36.332Z --- # Senior BI Analyst, Reporting & BI (m/f/x) **Hello Fresh UK** · Berlin, Berlin, Germany Apply: https://careers.hellofresh.com/global/en/job/8179939?gh_jid=8179939 ## About the role #### 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 Compensation & Financial Wellbeing - You’ll receive a competitive salary package, including a HelloFresh-subsidized pension scheme. - Enjoy savings on your weekly HelloFresh box. - Save with discount schemes with corporate benefits and Vorteile. Health & Wellbeing - Support your mental wellbeing with access to platforms like Headspace and Spill. - Stay active with 24/7 office gym access, a discounted Urban Sports Club membership, and other wellbeing resources. Flexibility & Work-Life - Balance your life with our flexible hybrid model. - Recharge with sabbatical leave options in addition to standard time off. - Get to work with ease through sustainable travel perks and transportation benefits. Career & Development - Embrace "Learning Never Stops" with internal training, the HelloFresh Academy, and a dedicated budget for German language courses. Culture & Environment - Enjoy tasty in-office meal deals and fresh food options. - We support working families with parent-friendly policies, an in-office kids corner, and an on-site babysitter. #Data --- Source: Hello Fresh UK's own career page, read by RemJobs. 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