Data Analyst

Job Title: Data Analyst

Location: Irving, TX 75063 – Onsite

Duration: 12+ Months

Job Description:

• Interpreting data, analyzing results using statistical techniques.
• Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.
• Acquiring data from primary or secondary data sources and maintaining databases.

Key Responsibilities

• Serve as the embedded analyst for the Rewards and Fuel Loyalty product teams: partner with product managers to define KPIs, set up launch measurement, and report on results.
• Build and maintain master analysis tables in Databricks (SQL/Python) that track loyalty, deals and rewards, and fuel program performance.
• Build and maintain Power BI dashboards and recurring reports (e.g., member activity, promotion performance) and keep metric definitions consistent.
• Measure the performance and incrementality of offers, promotions, and partner programs using test vs. control and cohort methods.
• Analyze app engagement event data (Mixpanel) alongside transaction data in the data lake; identify and escalate data gaps and quality issues before they affect reporting.
• Deliver ad hoc deep dives (e.g., customer segmentation, member activity, offer redemption) and present clear, concise findings to product and leadership stakeholders.
• Maintain the team's analytics initiatives and backlog tracker, and document tables, methodologies, and metric definitions so work is reusable.
• Expectations

Must Have:

• Experience in data analytics, product analytics, or business intelligence, including 3+ years writing SQL against large datasets.

Nice-to-Have Qualifications (Desired but Not Required)

• Experience with product analytics tools such as Mixpanel, Amplitude, or Google Analytics.
• Experience with experimentation and incrementality measurement (A/B testing, test vs. control matching).
• Experience with loyalty, rewards, subscription, or fuel program analytics.
• Experience with Databricks notebooks/jobs and version control (Git).
• Familiarity with AI-assisted coding tools and Jira/Agile ways of working.
• Education & Certification Requirements
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Analytics) or equivalent experience.
• Master's degree in Analytics, Data Science, or a related field is desired, not a must have.
• Databricks or Power BI (PL-300) certification is desired, not a must have.

Preferred Industry Experience

• Convenience Retail, Grocery/QSR, Digital & Mobile Apps, Loyalty & Rewards Programs, Fuel