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About the Role

Serve as the primary strategic architect for the Global Reactivations function, owning the technical roadmap and measurement frameworks that drive high-level business strategy. Bridge the gap between complex data ecosystems and executive decision-making to scale the impact of the analytics domain. Utilize expertise in CRM Analytics and data storytelling to reduce churn impact, optimize channels, and improve marketing spend.

Responsibilities

Partner with Marketing and Growth leadership to define KPI trees and measurement frameworks that align global reactivation efforts with long-term business goals.
Architect advanced analytics solutions using BigQuery, GA4, and behavioral datasets to uncover deep insights into churn patterns and lifecycle optimization.
Design and analyze rigorous A/B tests and incremental lift studies to ensure global marketing strategies are rooted in statistical truth and clear ROI.
Lead the integration of AI and automation tools to build scalable, self-service reporting assets that democratize data access across the organization.
Develop automated reporting and dashboards that democratize data access and enable self-service analytics.
Advocate for technical excellence by standardizing data schemas and mentoring junior analysts in SQL/Python best practices and peer review.
Translate complex statistical concepts into persuasive, executive-level narratives that influence strategic decision-making and global budget allocations.
Work with wider teams to analyse and provide recommendations based on customer lifecycle data.

Requirements

7+ years of experience in Customer/Marketing Analytics, including customer retention metrics, A/B testing, and analytics in fast-paced B2C or subscription-based businesses.
Advanced SQL & BigQuery expertise, including complex query writing, optimization, data modeling, and analysis of large-scale datasets.
Strong Python and Excel skills for data analysis, automation, and reporting (e.g., pandas, numpy, advanced formulas, pivot tables, dashboards).
Familiarity with AI tools like ChatGPT, Claude, Copilot, etc.
Proficiency in data visualization tools such as Tableau, Looker, or Google Data Studio, with experience presenting clear, actionable insights.
Solid statistical and analytical capabilities, including regression, clustering, time series analysis, and the ability to turn ambiguous problems into structured, results-driven recommendations.
Collaborative, business-focused mindset and enthusiasm for solving customer engagement and retention challenges through data.
Ability to independently scope, prioritize, and deliver impactful solutions while balancing analytical rigor with speed.
Strong communication skills, with the ability to clearly explain technical concepts to executives, defend data-driven recommendations, mentor and support others.

Skills

CRM Analytics
Data Storytelling
BigQuery
GA4
Behavioral Datasets
A/B Testing
Incremental Lift Studies
AI Tools
Automation Tools
SQL
Python
Excel
Tableau
Looker
Google Data Studio
Regression
Clustering
Time Series Analysis

Location

Berlin

Work Type

Hybrid

Experience Level

7+ years

Benefits

Competitive compensation package
HelloFresh subsidized Pension Scheme
Berlin relocation support
Exclusive discounts on weekly HelloFresh box
Office meals discounts
Annual learning & development budget
German language learning budget
Access to the HelloFresh Academy
Mental health support
Transportation perks
Working-parent-friendly benefits
24/7 gym access
Wellbeing platforms like Headspace and Spill
Sabbatical leave options

About the Company

One of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.
A diverse global community of 90+ nationalities.