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.