Senior Marketing Data Analyst Pricing

Hellofresh; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Berlin relocation support

Hybrid working model

HelloFresh Pension Scheme

Discounts on HelloFresh boxes and 0ff?

Annual learning budget

German language learning budget

Mental health support

Transportation perks

Working-parent benefits

Gym access

Job summary

HelloFresh is seeking a Marketing Analytics professional to own price and discount experiments end to end, design tests, and read out results. You will model responses to pricing, apply causal inference, and ship data products through production pipelines.

You will build reporting assets for pricing decisions, communicate findings to commercial leaders, collaborate across teams, and mentor analysts to promote scalable and reproducible work. Hybrid Berlin relocation support is available.

Qualifications

• 4+ years of experience in data science, analytics, or a related quantitative field.
• Strong SQL and Python skills with end-to-end analysis ownership.
• Knowledge of experimental design and A/B testing, including test sizing and metrics.
• Working knowledge of causal inference and econometrics.
• Applied statistics skills and familiarity with ML methods (regression, trees, clustering).
• Understanding of Marketing and Growth metrics and their business impact.
• Experience with Databricks, Spark, or a SQL warehouse and BI tools like Tableau/Looker/Power BI/Streamlit.
• Ability to turn ambiguous questions into analytical frameworks and insights.
• Proven project ownership and stakeholder management in senior or cross-functional settings.
• Excellent English communication skills.

Responsibilities

• Own price and discount experiments end to end from hypothesis framing to readout.
• Model customer responses to price and promotions including elasticity and geo pricing.
• Apply causal inference and quasi-experimental methods to measure impact where A/B testing is not possible.
• Ship analysis as data products through production pipelines and self-serve apps.
• Build and enhance reporting and visualization assets for pricing decisions and performance oversight.
• Communicate technical findings as recommendations for commercial leaders.
• Collaborate with data science, finance, and marketing to measure discount impact on revenue and profitability.
• Mentor analysts and promote scalable, automated ways of working.
• Measure, benchmark, and monitor brand and market performance to inform budgets.

Skills

SQL

Python

Experimental design

A/B testing

Causal inference

Econometrics

Statistics

Machine learning

English communication

Mentoring

Project ownership

Tools

Databricks

Spark

SQL warehouse

Tableau

Looker

Power BI

Streamlit

Job description

Описание:

HelloFresh is a global food and beverage services company that operates brands across more than 15 markets. Its Marketing Analytics organisation supports pricing, discount, growth, and market performance decisions through data and experimentation.

Задачи:

• Own price and discount experiments end to end, from hypothesis framing and test design to launch and readout
• Model customer responses to price and promotions, including price elasticity, geo‑segmented pricing, discount effects, and ML‑assisted recommendations
• Apply causal inference and quasi‑experimental methods to measure impact where A/B testing is not possible
• Ship analysis as data products through production pipelines and self‑serve applications
• Build and enhance reporting and visualization assets for pricing decisions and performance oversight
• Communicate technical findings as recommendations and next steps for commercial leaders
• Collaborate with data science, finance, and marketing to measure discount impact across revenue and customer profitability
• Collaborate with and mentor analysts, promoting scalable, automated, and reproducible ways of working
• Measure, benchmark, and monitor brand and market performance and help inform Marketing budgets

Требования:

• 4+ Years of experience in data science, analytics, or a related quantitative field
• Strong SQL and Python skills with end‑to‑end analysis ownership
• Knowledge of experimental design and A/B testing, including test sizing and primary and guardrail metrics
• Working knowledge of causal inference and econometrics, including price elasticity, incrementality, and quasi‑experimental methods
• Applied statistics skills and familiarity with machine‑learning methods such as regression, trees, and clustering
• Understanding of Marketing and Growth metrics and their connection to overall business performance
• Experience with Databricks, Spark, or a SQL warehouse and a visualization tool such as Tableau, Looker, Power BI, or Streamlit
• Ability to turn ambiguous business questions into clear analytical frameworks and insights
• Proven project ownership and stakeholder management in senior or cross‑functional settings
• Excellent English communication skills for explaining analytical concepts to non‑technical audiences and influencing decisions
• Nice to have: Pricing, discounting, or marketing‑analytics experience, Market Insights or market‑benchmarking experience supporting senior leadership, Bayesian or hierarchical or mixed‑effects modeling, GenAI or LLM tooling for analytics

Условия:

• Berlin relocation support is available
• Hybrid working model
• HelloFresh‑subsidised Pension Scheme
• Discounts on HelloFresh boxes and office meals
• Annual learning and development budget
• German language learning budget and access to the HelloFresh Academy
• Mental health support, transportation perks, working‑parent-friendly benefits, 24/7 gym access, wellbeing platforms, and sabbatical leave options