Lead Data Analysis

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 sources. Data Analysis and Interpretation: Analyze data to identify trends, risks, gaps, opportunities, and actionable insights related to compensation effectiveness, seller attainment, payouts, productivity, incentive performance, and business outcomes. Core Plan Compensation Effectiveness: Evaluate whether compensation plans are driving intended seller behaviors, business priorities, performance outcomes, and growth objectives. Incentive, SPIFF, and Accelerator Analytics: Support reporting and measurement for strategic incentives, SPIFFs, accelerators, and special compensation programs, including participation, attainment, payout impact, business lift, and program effectiveness. Leadership Reporting and Presentations: Develop leadership dashboards, scorecards, business reviews, executive summaries, and senior leadership presentations that translate complex analysis into clear insights, decision points, and recommended actions. Data Quality and Discrepancy Resolution: Identify, investigate, resolve, and document data discrepancies across source systems, dashboards, trackers, payout files, and reporting outputs.

Transformation: Support initiatives focused on automation, governance, process improvement, scalable analytics, standardized reporting, intake processes, and improved operating rhythms. Agentic AI Solution Development: Design, prototype, or support agentic solutions using frameworks and platforms such as LangChain, LangGraph, CrewAI, Microsoft AutoGen, Semantic Kernel, OpenAI API, Azure OpenAI, Microsoft Copilot Studio, Power Automate, Power Apps, and Python-based orchestration . AI Workflow Automation and RAG: Build or support AI-enabled workflows using retrieval-augmented generation, embeddings, semantic search, document retrieval, vector databases, prompts, tool calls, API integrations, validation checks, and human-in-the-loop controls. Future-Enabled Use Cases: Identify and develop practical use cases such as incentive intake triage, compensation rule interpretation, tracker generation, SQL/query assistance, anomaly detection, payout validation, recurring report creation, executive summary generation, action-item tracking, meeting preparation, and senior leadership briefing support. Project Management and Partnership: Lead or support