Senior BI Analyst, Reporting & BI

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines
• 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
• Build and maintain executive-level BI dashboards (Tableau, Databricks)
• 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

Requirements

• of experience in BI Analytics, Data Engineering, or Analytics Engineering — ideally in a fast-paced B2C, subscription, or growth-oriented business
• Advanced SQL

Preferred

• for data transformation, ad-hoc analysis, automation, or lightweight modeling
• (Snowplow, Google Analytics, Segment, GA4) — schema design, entity modeling, event naming
• (AWS, GCP, Azure) or data migration projects.

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 using dbt, Databricks, Spark SQL, and Airflow

— transforming raw data into robust, scalable models that power analytics across the business

Write performant, maintainable SQL for large-scale data transformations and collaborate with central Data Engineering teams on schema design and technical requirements and conduct deep-dive analyses 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 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

Experience with

data monitoring and alerting frameworks (Great Expectations, Monte Carlo, dbt tests)

Experience with

event-level behavioral data and tracking design

Exposure to statistical modeling techniques

— segmentation, clustering, regression, cohort analysis

Experience with

• cloud data platforms
• 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.

End-to-end development/delivery

• Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to the workspace at Warsaw Centre Point.
• The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
• Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
• #Data