Business Intelligence, Product

Key ResponsibilitiesPartner with the Senior Product Analyst and Head of Product to define, track, and report product KPIs. Pull, clean, and reconcile data from multiple sources (e. g. , product logs, transactional data, marketing data). Build and maintain recurring dashboards, automated reports, and lightweight performance scorecards. Conduct ad-hoc deep dives on customer behavior, funnels, cohorts, retention, and product feature usage. Support product experiments (A/B tests, pilots) with pre/post metrics and statistical readouts (with guidance). Monitor and verify data migrations; flag gaps, duplications, and integrity issues. Document data definitions, query logic, and dashboard usage to drive self-serve analytics.

Prepare clear visualizations and short narrative summaries for technical and non-technical stakeholders. Provide basic training or walkthroughs of analytics tools to business users as needed. QualificationsBachelor’s degree in Business, Statistics, Economics, Engineering, Computer Science, or related field. ~1–3 years’ experience in product, business, or data analytics. Proficiency in SQL and advanced Excel/Google Sheets. Hands-on experience with at least one BI / data visualization tool (Tableau, Power BI, Looker, Data Studio, etc. ). Ability to translate data into clear insights, trends, and recommended actions. Strong attention to detail; disciplined in data validation and documentation. Effective written and verbal communication in English.

(Required. )Nice to Have / PreferredBasic Python or R for data wrangling and automation. Experience working with large-scale digital products (fintech, e-commerce, mobile apps). Familiarity with event instrumentation, product analytics tools (e. g. , Mixpanel, Amplitude), or experimentation platforms. Experience collaborating across regional or cross-functional teams.