Data Analyst Mid

Immediate need for a talented Data Analyst Mid. This is a 06+months contract opportunity with long-term potential and is located in Irving ,TX(Onsite). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-34605

Pay Range

$45 - $50/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities

• Serve as the embedded analyst for the Rewards and Fuel Loyalty product teams, collaborating with product managers to define KPIs and report on results.
• Build and maintain master analysis tables in Databricks (using SQL/Python) that track loyalty, deals, rewards, and fuel program performance.
• Create and maintain Power BI dashboards and recurring reports, ensuring consistent metric definitions.
• Measure the performance of offers and promotions using test vs. control and cohort methods.
• Analyze app engagement event data (using Mixpanel) alongside transaction data, identifying and escalating data gaps and quality issues.
• Deliver ad hoc deep dives on customer segmentation, member activity, and offer redemption, presenting findings to product and leadership stakeholders.
• Maintain the team's analytics initiatives and backlog tracker, documenting tables, methodologies, and metric definitions for reusability.

Key Requirements and Technology Experience

• 3–5 years of experience in data analytics, product analytics, or business intelligence, including 3 years of advanced SQL experience on large-scale cloud data platforms such as Databricks/Spark SQL.
• Proven 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 to measure KPIs and business impact.
• Working proficiency in Python (using pandas or similar) for data analysis.
• Strong attention to data quality with the ability to validate data and reconcile sources.
• Excellent written and verbal communication skills, capable of coordinating across product, engineering, and data teams.
• Experience with product analytics tools such as Mixpanel, Amplitude, or Client Analytics.
• Familiarity with experimentation and incrementality measurement (A/B testing).
• Experience with loyalty, rewards, subscription, or fuel program analytics.
• Knowledge of Databricks notebooks/jobs and version control (Git).
• Familiarity with AI-assisted coding tools and Jira/Agile methodologies.
• 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.

Our client is a leading Retail Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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