Staff Data Analyst (Marketing)

Location: Must be based in Berlin or London and able to work from the Berlin or London office 4 days per week.

Base salary: €90,000–€150,000 EUR per year; bonus and equity may also be available.

Company

hirify.global is a manufacturer-to-consumer e-commerce brand offering apparel, accessories, home goods, and other high-quality essentials at accessible prices through proprietary technology, AI, and analytics.

What you will do

• Partner with the US team to replicate existing analytics capabilities and build solutions for identified gaps.
• Develop and maintain automated reports for marketing KPIs, including customer growth, LTV/CAC, ROAS, paid media, affiliates, CRM cohorts, database health, and lifecycle stages.
• Perform ad-hoc analyses to identify channel inefficiencies, scaling opportunities, and ways to improve MER and total ROAS.
• 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 recommendations based on customer behavior.
• Implement data quality, governance, GDPR, and AI usage best practices in collaboration with the US team.

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 supply chain, e-commerce, or technology.
• Strong SQL and data visualization skills with tools such as Tableau, Looker, Power BI, or Mixpanel.
• Knowledge of statistical analysis and A/B testing; Python or R experience is a plus.
• Ability to interpret complex data, communicate insights clearly, and manage multiple priorities in a fast-paced environment.
• Must be based in Berlin or London and attend the corresponding office 4 days per week.

Nice to have

• Experience running Geo-Lift tests across Europe.
• Previous e-commerce or multi-category experience.
• Strong performance marketing attribution and CRM measurement experience.
• Experience translating analysis into action through storytelling and visualization.
• Understanding of LTV/CAC, ROAS, MER, and other marketing growth metrics.

Culture & Benefits

• Work in a mission-driven team reshaping retail through technology, data, and sustainable operations.
• Collaborate with an international team and US-based colleagues.
• High-autonomy environment focused on challenging assumptions, rapid decision-making, and data-driven work.
• Bonus and equity may be provided for eligible roles.
• Employment includes equal-opportunity commitments and reasonable accommodation support.