Data Analyst

Job Description

Our client is looking for a data-driven, business-minded Data Analyst to join their E-Commerce and Martech pod.

This role is critical to helping the team understand the health of the business, prioritize what to build next, and measure the impact of what we ship. You will work closely with Product, Engineering, and Marketing to turn data into clear insights and actionable recommendations. This is not a passive reporting role—you are expected to proactively surface opportunities, identify gaps, and influence decisions across the pod.

You will establish and maintain a clear view of E-Commerce and Marketing performance, including: conversion rates, funnel performance, and drop-offs/ Customer acquisition and engagement metrics/Campaign and journey effectiveness. You will partner with Product and Engineering to identify what we should work on next based on data and analyze user behavior to uncover friction points and opportunities. You will translate data into clear, prioritized recommendations, not just metrics.

This role is required to be onsite in Irving, TX four days a week (Mon-Thurs).

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 3–6 years of experience in data analytics, preferably in e-commerce, marketing, or digital product environments
• Proven track record of influencing product or business decisions through data
• Strong experience with Google Analytics, Google Tag Manager and Tableau
• Proficiency in SQL and working with structured datasets
• Understanding of event-based tracking and digital analytics implementation