Senior Data Analyst

About the role

Senior Data Analyst to join the Data team at Yepoda, shaping how we run and scale our operations and building the analytical foundation that powers smarter fulfillment, leaner supply chains, and better customer care.

What you'll do

• Own the analytical partnership with Operations, Supply Chain, and Customer Care & Community Management. Translate ambiguous business questions into scoped problems, drive prioritization with stakeholders up to director level, and push back where needed rather than executing requests as briefed.
• Design and maintain the dbt models, tests, and semantic layer that power performance dashboards and KPIs across fulfillment speed, stock accuracy, logistics performance, and service response times.
• Lead root cause and scenario analyses to identify inefficiencies, simulate process improvements, and recommend optimizations for supply and demand balancing.
• Partner with data engineering to scope and stabilize source ingestion from ERP, logistics partners, and customer care systems. Own the analytics layer on top in dbt Cloud, with proper tests, exposures, documentation, and PR discipline in GitHub.
• Operate as an active member of the data team alongside data engineering, analytics engineering, and analytics. Contribute to shared modelling standards, code review, and the team's technical roadmap.
• Train and enable stakeholders on interpreting insights and using Omni for self-serve, raising the analytical maturity of the business functions you support.

What you'll need

• 5+ years in data analytics, analytics engineering, or operations analytics within e-commerce, retail, or logistics, with demonstrated delivery on supply chain, logistics, and customer care use cases.
• Deep hands-on experience in dbt Cloud. You have built and maintained production models, written tests, managed exposures, and worked with semantic layers.
• Strong fundamentals in data warehousing and dimensional modelling. Comfortable discussing grain, fact and dimension design, slowly changing dimensions, and trade-offs between normalized and denormalized structures.
• Advanced BigQuery SQL, including window functions, performance tuning, and partitioning and clustering decisions.
• Comfortable with Git-based workflows in GitHub for PRs, reviews, and CI.
• Proficient in Omni, or able to demonstrate equivalent depth in a comparable modern BI tool such as Looker, Lightdash, or Cube.
• Track record of leading stakeholder relationships at senior level: scoping, prioritizing, and challenging requests, not only fulfilling them.
• Excellent written and spoken English.

Nice to have

• Familiarity with ERP, WMS, or OMS systems (e.g., Odoo, SAP, or Shopify backend) and their data structures.
• Exposure to process mining or operational analytics techniques to identify inefficiencies and optimize workflows.
• Experience integrating data from logistics providers, warehouses, or customer support platforms (e.g., Zendesk, Gorgias) into unified reporting environments.

What they offer

• Dynamic start-up environment surrounded by a passionate and dedicated team.
• Take on responsibility from day 1, with room for professional growth and advancement.
• Dog-friendly office in Berlin's Prenzlauer Berg with free drinks and snacks.
• Hybrid working.
• Employee discounts on Yepoda products.
• Urban Sports membership package.