Data Analyst — Irving, TX

Job Title: Data Analyst – Mid-Level

Experience: 3–5+ Years

Job Description:

We are looking for a hands-on Data Analyst to support our Rewards and Fuel Loyalty product teams. The candidate will analyze customer loyalty, transaction, and app engagement data to develop dashboards, track KPIs, measure promotional performance, and provide actionable business insights.

Key Responsibilities:

• Develop and maintain analysis tables using SQL and Python in Databricks.

• Build and maintain Power BI dashboards and recurring business reports.

• Analyze loyalty programs, rewards, fuel offers, promotions, and customer engagement.

• Define and track KPIs in collaboration with product managers.

• Measure promotional performance using cohort analysis and test vs. control methods.

• Analyze Mixpanel app engagement data alongside transaction data in the data lake.

• Perform data quality checks, source reconciliation, and identify data discrepancies.

• Present analytical findings and business insights to product and leadership teams.

• Document analytical processes, metrics, and reporting methodologies.

Required Skills:

• Advanced SQL (3+ years) – Joins, CTEs, window functions, and Databricks/Spark SQL.

• Power BI – Experience building and maintaining dashboards and reports.

• Customer / Loyalty Analytics – Experience analyzing loyalty programs, retail transactions, promotions, or app engagement.

• Working knowledge of Python and Pandas.

• Experience with Databricks or large-scale cloud data platforms.

• Strong data validation and reconciliation skills.

• Excellent communication and stakeholder management skills.

Preferred Experience:

• Retail, loyalty, rewards, or digital product analytics.

• Mixpanel or similar product analytics tools.

• Cohort analysis, customer segmentation, and A/B testing.