Responsibilities
- Product Analytics: Track, measure, and analyze user behavior across digital products to understand performance, identify trends, and surface insights.
- Data Storytelling & Visualization: Translate complex data into clear and compelling narratives through dashboards, reports, and presentations that inform product direction.
- Experimentation & A/B Testing: Design, execute, and analyze A/B and multivariate tests to validate new features, design changes, and growth experiments.
- Stakeholder Collaboration: Work with cross-functional teams to define KPIs, prioritize analytical needs, and drive alignment on metrics and measurement strategies.
- User Insights & Research Support: Combine qualitative user research with quantitative analysis to provide a full picture of the user journey and experience.
- Data Infrastructure & Tools: Collaborate with data engineering teams to improve event tracking, data pipelines, and tooling to ensure data accuracy and accessibility.
Requirements
- 3–5 years of experience in product analytics, business intelligence, data science, or a related role.
- Strong experience in web analytics and dashboarding is required.
- Proficiency in SQL is essential, along with a working knowledge of visualization and analytics tools such as Tableau, Looker, Amplitude, Mixpanel, or Google Analytics.
- Strong analytical skills with experience in A/B testing, cohort analysis, funnel analysis, retention, and product performance tracking.
- Ability to communicate findings clearly to both technical and non-technical audiences.
- Familiarity with product development processes and agile environments.
- Bachelor’s degree in a quantitative field such as Statistics, Economics, Computer Science, or related discipline desired.
Nice to Have
- Experience working in agile, fast-paced product environments.
- Experience with scripting languages (e.g., Python or R) for advanced analysis.
- Familiarity with product management tools (e.g., Jira, Confluence).
- Background in consumer-driven domains.
