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Lead Data Analysis

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: AT&T
Full Time position
Listed on 2026-08-17
Job specializations:
  • Business
    Business Systems & Technology Analysis, Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 140000 USD Yearly USD 90000.00 140000.00 YEAR
Job Description & How to Apply Below

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

The Business Sales Compensation Effectiveness & Incentives team is seeking a proactive Lead Data Analysis professional to help modernize how AT&T Business measures, manages, and improves sales compensation performance.

This role will research, collect, process, and analyze compensation, sales performance, incentive, payout, sales planning, and operational data from multiple business applications. The position will resolve data discrepancies, develop actionable insights, create leadership reporting, and help build scalable analytics and automation solutions.

The ideal candidate combines strong data analysis skills, SQL and Python capability, executive storytelling, project management discipline, and hands‑on experience or strong working knowledge of modern AI, automation, and agentic development tools. This role supports core plan compensation effectiveness, incentive and accelerator analytics, sales planning insights, leadership reporting, senior leadership presentations, and compensation transformation initiatives.

The successful candidate will not simply respond to requests. They will identify opportunities, improve processes, automate manual work, and help shape the future of compensation effectiveness through modern data, automation, and agentic AI capabilities.

Key Roles and Responsibilities

Typical tasks may include, but are not limited to, the following:

Data Collection and Processing: Gather, cleanse, validate, transform, and organize compensation, incentive, sales performance, payout, and operational data from multiple

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