Data Analyst (Mid-senior)

We are looking for an individual to immediately join the data-analytics team, for our client - an ecommerce giant based in Germany. You will be the analytical backbone of their B2B business across all markets. You will own our recurring reporting, build the analyses and business cases behind our commercial decisions, and act as the go-to person for every analytical question in the team. This position is permanent and based in NCR, working closely with the team in Germany.WHAT YOU'LL DOOwn and release our recurring B2B reporting on a weekly and monthly cadence - market performance, funnel and account management KPIs - used directly by the B2B leadership team and by Account Managers in all marketsDefine, document and own our B2B KPI definitions, so that every market steers on the same numbersBuild the business cases and driver-based models behind our growth decisions, e.g. discount structures, new verticals and market initiatives, tooling investments, etc.Run ad-hoc analyses to answer pressing commercial questions, from GMV development and cohort behaviour to lead conversion and account manager productivityProactively propose the analyses nobody has asked for yet: derive hypotheses from the data we already have and translate them into clear, actionable next steps for the commercial teamsUse AI tools - coding agents, LLM-based workflows, etc. - to automate recurring work and raise the scale and quality of your analysisAct as the go-to person for all analytical questions across the B2B organisationYOU COME WITH3–8 years of experience in an analytics role, ideally in e-commerce, marketplace, retail or B2B, where you were required to obtain insights from data proactivelyAdvanced SQL expertise (complex joins, window functions) and strong modelling skills in Excel/Google Sheets, plus hands-on experience with a BI tool (Looker, Power BI or Tableau) and Python or comparable for automationFluency with modern AI tools as part of your everyday analytical workBusiness fluency: you interpret a commercial question, choose the right cut of the data, and state a conclusionA positive, responsible attitude: you take ownership end-to-end, challenge the framing of a request early, flag data gaps and bottlenecks before they become blockers, and drive your topics against agreed timelinesStrong written and spoken English, and the flexibility to overlap at least four hours daily with CETNice to have: experience with CRM data (Salesforce), B2B funnel logic and repeat-purchase analytics, or exposure to strategic planning cycles and consulting-style deliverablesPay for this position is going to be 10-20LPA depending on your experience level.