This role has closed 1w ago. It is no longer on HelloFresh's board, so there is nothing left to apply to. The posting is kept here because you saved it or opened it; it is a record, not an offer.
Verified from career page · Posted 1w ago
- Posted
- 1w ago
- Workplace
- Hybrid
- Salary
- Not disclosed
- Visa sponsorship
- Not specified
Posted on 21 September 2026
Work model: Hybrid
Salary range not shared by the company
Visa sponsorship details unknown
This role has closed 1w ago ago. It's kept as a record — see HelloFresh's open roles or the similar live roles below.
See HelloFresh's open rolesThe 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
About HelloFresh
HelloFresh is the meal-kit and grocery-delivery company, Berlin-headquartered and one of the larger e-commerce/logistics employers on this board by job count. Engineering roles compete with a much larger operations and commercial org, so it is worth filtering by team.