Senior BI Analyst, Reporting & BI

HelloFresh
Warszawa +1 more
On-site

Who this role is best for

Candidates with data engineering experience and leadership potential in a B2C environment will find this role's combination of technical and strategic responsibilities appealing, particularly in Warsaw.

Best fit for

  • Candidates with 6+ years of BI experience in fast-paced B2C or subscription businesses and a track record of executive-level dashboard creation
    — “6+ years of experience in BI Analytics, Data Engineering, or Analytics Engineering — ideally in a fast-paced B2C, subscription, or growth-oriented business”
  • Individuals who have led end-to-end data pipeline development and are comfortable with complex SQL transformations
    — “Write performant, maintainable SQL for large-scale data transformations and collaborate with central Data Engineering teams on schema design and technical requirements”
  • Candidates who have mentored junior analysts and documented data models for self-service access
    — “Document data models, pipelines, and methodologies to enable self-service, and mentor junior analysts and engineers on SQL best practices”

Things to consider

  • The role requires a strong ability to translate ambiguous business questions into actionable insights and strategic recommendations
    — “translating ambiguous business questions into actionable insights and own end-to-end delivery”
  • Candidates must be prepared to take ownership of data quality and delivery across multiple business functions
    — “Ownership mindset — proactively identifies issues, drives solutions, and takes accountability for data quality and delivery”

How to stand out

  • Highlight your experience with dbt, Databricks, and Airflow in your resume and interview responses
    — “Design, develop, and maintain ETL/ELT pipelines using dbt, Databricks, Spark SQL, and Airflow”
  • Showcase your ability to build BI dashboards that reach senior leadership and deliver strategic value
    — “Proven ability to build and maintain BI dashboards (Tableau, Databricks, Looker, or similar) that reach senior leadership”
  • Emphasize your experience in designing scalable data models and maintaining data quality through automation
    — “implement automated data quality checks, monitoring, and alerting to proactively catch issues”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design, develop, and maintain ETL/ELT pipelines
Typical background
6+ years of experience in BI Analytics, Data Engineering, or Analytics Engineering

Skills & requirements

Required

Etl/elt PipelinesSQLData ModelingBI DashboardsStakeholder Management

Preferred

PythonData Monitoring And Alerting FrameworksEvent-level Behavioral Data And Tracking Design

Stack & domain

dbtDatabricksSpark SQLAirflowSQLTableauLookerStakeholder ManagementOwnership MindsetFinanceMarketingOperations

About the role

Original posting from HelloFresh

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.

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

Source: HelloFresh careers

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