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.