# Senior BI Analyst, Reporting & BI at HelloFresh

> Poland · Senior · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Ahellofresh%3A8179946 (read 2026-11-05).

## Facts (observed)

- Company: [HelloFresh](https://alderhq.app/companies/hellofresh)
- Location text: Warszawa, Masovian Voivodeship, Poland; Toronto, ON, Canada
- Where it can be done from (inferred): Poland (evidence: "Location: Warszawa, Masovian Voivodeship, Poland; Toronto, ON, Canada")
- Posted: 2026-09-22 (43 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://careers.hellofresh.com/global/en/job/8179946?gh_jid=8179946
- Skills listed (inferred): Python, AWS, GCP, Azure, Spark, Airflow, dbt, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Poland, n 17): p25 $17k, median $34k, p75 $135k
- H-1B filings at this company for similar roles, FY26: 4, median offered wage $122k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

### 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

- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at a global scale, supporting 6+ million customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ahellofresh%3A8179946 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.