(Apply in 3 Minutes) Data Analyst

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.