Senior Marketing Data Analyst Pricing (all genders)
4 нед. назад
ГерманияSeniorOnsite
pricingexperiment designcausal inferencemodelingdata analysis
Senior role focused on driving data-informed pricing and discount decisions through advanced analytics and experimentation for 's global brands.
Обязанности
- As a Senior Marketing Data Analyst on our Pricing Analytics team within the Global Marketing Analytics organisation, you'll play a pivotal role in driving data-informed pricing and discount decisions at . Based in our Berlin Headquarters, you'll help build best-in-class analytics to support price and discount strategy across 's brands — turning data into strategic recommendations, challenging the status quo, and directly shaping how our global brands price, grow, and operate.
- Reporting to the Associate Director of Pricing Analytics, you'll partner closely with the commercial Pricing & Discount Strategy team and stakeholders across Product, Engineering, ML&AI, and Finance. You'll bring the toolkit of a data scientist — experimentation, causal inference, and modeling — and the judgment to turn it into decisions. As our scope expands, there's room to grow into broader Market Insights work supporting senior leadership across our 15+ markets.
- Own price and discount experiments end to end — frame the hypothesis, design the test, size it, launch it through our always-on testing program, and deliver the readout.
- Model how customers respond to price and promotions — price elasticity, geo-segmented pricing, discount and promo effects, and ML-assisted discount recommendations.
- Apply causal inference — incrementality and quasi-experimental methods (difference-in-differences, synthetic control, matching) — to measure true impact where a clean A/B test isn't possible.
- Ship analysis as data products — production pipelines and self-serve apps (Databricks, SQL, Python, Streamlit) that stakeholders use directly, not one-off notebooks.
- Build and enhance reporting and visualization assets that support day-to-day pricing decisions and strengthen performance oversight.
- Communicate complex technical findings as clear recommendations and tangible next steps for commercial leaders without a technical background.
- Collaborate with data science, finance, and marketing to measure discount impact consistently across gross and net revenue and short- and long-term customer profitability.
- Collaborate with and mentor analysts within the team, championing scalable, automated, and reproducible ways of working.
- As scope grows , measure, benchmark, and monitor brand and market performance and help inform Marketing budgets — contributing to the Market Insights agenda alongside senior stakeholders.
Требования
- A motivated, collaborative mindset with strong team-working skills and a passion for solving complex business problems.
- 4+ years of experience in data science, analytics, or a related quantitative field — ideally in a fast-paced B2C or subscription business.
- Strong SQL and Python (required) — you're comfortable owning an analysis end to end.
- A foundation in experimental design and A/B testing , including how to size a test and choose primary and guardrail metrics.
- Working knowledge of causal inference and econometrics — price elasticity, incrementality, and quasi-experimental methods.
- Solid applied statistics , and familiarity with common machine-learning methods (regression, trees, clustering; uplift / heterogeneous-effects a plus) — with the judgment to know when a method genuinely helps and when a simpler approach is better.
- A strong understanding of Marketing and Growth metrics and how they connect to overall business performance.
- Comfort in a modern data stack (Databricks / Spark / a SQL warehouse) and a visualization tool ( Tableau , Looker, or Power BI; or apps built in Streamlit).
- A results-oriented, structured approach , able to turn vague or ambiguous business questions into clear analytical frameworks and insights.
- Proven project ownership and stakeholder management , especially in senior or cross-functional settings.
- Excellent communication skills in English , with the ability to explain analytical concepts to non-technical audiences and influence decision-making.
- Nice to have:
- Pricing, discounting, or marketing-analytics domain experience.
- Market Insights / market-benchmarking experience supporting senior leadership.
- Bayesian or hierarchical / mixed-effects modeling.
- GenAI / LLM tooling for analytics (e.g., natural-language-to-SQL, agent or assistant surfaces).
Условия
- Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.
- Immerse yourself in a diverse global community of 90+ nationalities.
- Enjoy a competitive compensation package that goes beyond the norm, with perks like a -subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
- Exclusive discounts on your weekly box and office meals.
- Invest in your growth with an annual learning & development budget, German language learning budget, and access to the Academy.
- Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access, wellbeing platforms like Headspace and Spill, to sabbatical leave options, is not just a workplace; it's a lifestyle of perks and possibilities!
Другое
- Please submit your complete application below including your salary expectations and earliest starting date.
- #JD1002