обновлено 5 дней назад
Data Analyst, Marketing (E-commerce)
90 000 - 150 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst, Marketing (E-commerce) (SQL/Tableau/Looker): Building automated marketing KPI reporting and experimentation analytics for a data-driven e-commerce business with an accent on customer lifecycle measurement, attribution, and incremental growth. Focus on designing geo-lift and incrementality studies, optimizing LTV/CAC and ROAS, and translating complex customer behavior into cross-selling and next-best-action strategies.
Location: Must be based in Berlin or London and able to come into the Berlin or London office 4 days per week.
Salary: €90,000–€150,000 EUR base salary per year. Bonus and equity may also be provided for eligible roles.
Company
is a direct-to-consumer retail technology company offering high-quality essentials at accessible prices through just-in-time manufacturing, analytics, automation, and AI.
What you will do
- Partner with the US team to identify existing marketing analytics capabilities to replicate and gaps to address.
- Develop and maintain automated reports covering customer, performance marketing, CRM, LTV/CAC, ROAS, and MER metrics.
- Conduct ad-hoc analyses to identify channel inefficiencies, scaling opportunities, and opportunities to improve marketing efficiency.
- Partner with Product, Engineering, and Performance teams on geo-lift tests, channel incrementality, brand lift studies, and MMM validation.
- Build data-driven customer lifecycle programs, A/B and multivariate tests, and cross-selling models based on customer behavior.
- Implement data quality, governance, GDPR, and AI usage best practices in collaboration with international teams.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
- 7+ years of experience in data analytics or product analytics, ideally in e-commerce or technology and with a supply chain focus.
- Proficiency in SQL and data visualization tools such as Tableau, Looker, Power BI, or Mixpanel.
- Knowledge of statistical analysis and A/B testing, with the ability to interpret complex data and produce actionable recommendations.
- Strong written and verbal communication skills for presenting insights to technical and non-technical audiences.
- Ability to manage multiple projects and prioritize in a fast-paced environment.
Nice to have
- Master’s degree in a quantitative field.
- Experience with Python or R.
- Experience running geo-lift tests across Europe.
- E-commerce, multi-category, performance marketing attribution, or CRM measurement experience.
- Strong understanding of LTV/CAC, ROAS, and MER, with the ability to communicate insights through storytelling and visualization.
Culture & Benefits
- Mission-driven environment focused on sustainable, accessible retail.
- International team working across product, engineering, performance, CRM, and analytics.
- High-autonomy, transparent, agile, and data-driven decision-making culture.
- Bonus and equity may be available for eligible roles.
- Employment is contingent upon successful completion of a background check.
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