Job Title

Role Summary The Data Analyst is a critical role responsible for driving product, UX, and marketing decisions by transforming data into actionable insights . You will be a cross-functional partner, embedding a data-driven perspective into strategy to enhance user experience, optimize engagement, and support business growth. This role focuses on delivering decision-ready insights, not just reports, ensuring teams can act with confidence. Responsibilities Drive Improvements: Lead analysis to improve product functionality, marketing effectiveness, and UX. Strategic Partnering: Embed evidence-based perspectives in strategic decisions and build alignment across product, design, and marketing teams. Support Product/UX: Measure user experience, analyze product usage patterns, and inform iterative design and development. Enhance Marketing: Measure, analyze, and optimize campaign performance across digital channels (including email/SEO/social). Own attribution modeling and media mix analysis. Lead Knowledge Sharing: Develop/maintain dashboards, reports, and clear narratives that guide next steps and empower teams with self-service reporting. Shape Data Strategy: Contribute to analytics infrastructure, define key metrics, and ensure consistent measurement aligned with organizational KPIs. Conduct Analysis: Use quantitative/qualitative methods (A/B testing, funnel analysis, cohort studies) to uncover user behavior and campaign insights. Concise Data Analyst (Product, UX, and Marketing) Job Description What We're Looking For A strategically-oriented self-starter who champions the company's values and possesses: 5+ years as a Data Analyst (ideally in product, UX, or marketing). Strong skills in quantitative and qualitative analysis . Expertise in SQL and data visualization tools (e.g., Tableau, Quicksight). Proven ability to translate complex data into clear, actionable insights . Familiarity with experimentation/testing methods (A/B, multivariate). Excellent communication and storytelling skills. Experience in agile environments and with iterative product development. Tools Include: Google Analytics, Quicksight/Tableau/Looker, Amplitude, Mixpanel, Hotjar, Jira, Excel, and ad platform data.