Data Analyst

Project overview

Our client is seeking a Data Analyst for a 12-month contract in Irving, TX. Will be working on an onsite schedule.

Project details

12 Months

Required Skills & Experience

Desired Skills & Experience

Preferred Industry Experience

What You Will Be Doing

Job Facts: Contract W2 | On-site | $45 - $50/hr

Skills: Business Intelligence, Writing, Cloud Computing, Apache Spark, Tableau, Loyalty Program, Pandas, Data Analysis, Data Quality, Communication, Product Engineering, Google Analytics, A/B Testing, Version Control, Git, Artificial Intelligence, JIRA Agile, Statistics, Mathematics, Economics, Computer Science, Data Science, Profit And Loss, Retail, Mobile Applications, Embedded Systems, KPI, Databricks, SQL, Python, Microsoft Power BI, Dashboard, Promotions, Data Lake, Reporting, Leadership, Analytics

Reference: Dice Id: 10105282 | Position Id: 894084

• 3-5+ years of experience in data analytics, product analytics, or business intelligence, including 3+ years writing SQL against large datasets.
• 3+ years of advanced SQL experience (joins, window functions, CTEs) on large-scale cloud data platforms such as Databricks/Spark SQL.
• Experience building and maintaining dashboards and reporting in Power BI (or Tableau) for business stakeholders.
• Hands-on experience analyzing customer, transaction, or digital product data (e.g., loyalty programs, promotions, app engagement) to measure KPIs and business impact.
• Working proficiency in Python (pandas or similar) for data analysis.
• Strong attention to data quality, with the ability to validate data, reconcile sources, and explain discrepancies.
• Strong written and verbal communication skills, with the ability to coordinate across product, engineering, and data teams and to present findings to non-technical audiences.
• 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.
• 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.
• Convenience Retail, Grocery/QSR, Digital & Mobile Apps, Loyalty & Rewards Programs, Fuel
• 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.
• Start: flexible
• Remote: onsite
• Location: Irving, TX, US, US