Senior BI Analyst, Reporting & BI (m/f/x) - #2704293
HelloFresh
Date: vor 14 Stunden
Stadt: Berlin
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag
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
Compensation & Financial Wellbeing
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
- 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
- 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.
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.
- 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.
- 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.
- Embrace "Learning Never Stops" with internal training, the HelloFresh Academy, and a dedicated budget for German language courses.
- 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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