Data Analyst

Role overview Turn large-scale marketplace data into clear guidance for business and product decisions. This analyst partners closely with account-facing teams to diagnose performance, while independently investigating patterns and growth opportunities across supply, demand, and brand activity. The work also includes building automation and tools that make analysis easier to repeat and share.

Responsibilities - Serve as the day-to-day analytical partner for account managers, explaining performance trends and recommending practical next steps. - Investigate marketplace behavior beyond existing dashboards, identifying patterns in supply, demand, and brand results. - Use analyses such as cohort work and user-history modeling to surface insights that can inform business strategy. - Build reusable data models, classification approaches, and tagging improvements that make information more accessible. - Automate repetitive workflows and help distribute findings through lightweight tools or bots. - Communicate evidence and caveats clearly so nontechnical partners can act on reliable conclusions.

Requirements - At least five years of professional experience working with data, including data at scale. - Advanced SQL skills and the ability to investigate complex datasets accurately and efficiently. - Familiarity with recommendation systems and concepts such as selection bias, cold starts, and feedback loops. - Sound business judgment and an ability to distinguish defensible findings from misleading conclusions. - Strong communication skills, including translating technical analysis into a useful narrative for business partners.

Nice to have A background in mathematics or statistics; Python experience, especially for automation or lightweight tooling; experience building bots or other tools to share knowledge and reduce repetitive work.