BI Analyst, Reporting & BI

HelloFresh Deutschland SE & Co. KG
Berlin, Germany
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Adaptable Database Systems Airflow Amazon Web Services Data Analysis Microsoft Azure Big Data Cluster Analysis Data Architecture Data Control Information Engineering Data Infrastructure Extract Transform Load (ETL)
+17 more
Data Migration Dimensional Modeling Document-Oriented Databases Google Analytics Apache Hive Performance Tuning Raw Data Cloud Services Snowplow SQL Databases Tableau (Software) Google Cloud Sql Optimization Data Analytics Looker Analytics Data Pipelines Databricks

Job description

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, * Python for data transformation, ad-hoc analysis, automation, or lightweight modeling

Requirements

  • 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, * 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.

Benefits & conditions

  • 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.

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