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

HelloFresh

Senior BI Analyst, Reporting & BI (m/f/x)

HelloFresh · Tech

Berlin

Senior

DataAirflowAWSAzureDatabricksdbtGCPPythonSQLTableau / Power BI

Last seen 1w ago

Posted
1w ago

Posted on 21 September 2026

Workplace
Hybrid

Work model: Hybrid

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

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 roles

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

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.

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