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.
• Compensation 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 cross-functional projects by managing timelines, deliverables, risks, dependencies, stakeholder follow-ups, documentation, and status updates while partnering with Compensation, Sales, Finance, Operations, Compliance, Technology, HR, incentive design, enablement, auditing, and payout teams.
• Analytical Tools: Use SQL, Python, Power BI, Excel, Tableau, Snowflake, Salesforce, Varicent, and related tools to analyze data, automate processes, validate results, and deliver business insights.
• Sales Planning Support: Analyze sales planning, quota, territory, coverage, segmentation, pipeline, productivity, and go-to-market data to support compensation and performance decisions.

Job Contribution

An experienced professional recognized as an expert in data analysis, sales compensation, business intelligence, process improvement, automation, leadership reporting, executive presentation, and stakeholder management.

Leads significant projects with strategic autonomy and influences executive decisions through accurate analysis, clear storytelling, and actionable recommendations. Mentors less experienced staff, supports long-term plans impacting the organization, and frequently collaborates with and presents to senior leadership.

Operates proactively with limited direction, brings structure to ambiguous business problems, and identifies opportunities to improve how the organization measures, manages, and transforms compensation effectiveness.

Manages complex data movement, transformation, validation, and analysis from multiple sources to solve business problems related to compensation effectiveness, incentive performance, seller behavior, sales planning, payout outcomes, and operational transformation.

Delivers advanced analytics, leadership reporting, and executive-ready insights that influence business decisions. Uses SQL, Python, visualization tools, automation methods, and agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Azure OpenAI, Microsoft Copilot Studio, and Power Platform tools to improve data quality, reporting scalability, analytical speed, senior leadership visibility, and compensation decision-making.

Education/Experience: Bachelor’s degree (BS/BA) desired in Computer Science, Math, etc. 5+ years of related experience. Certification is required in some areas.

Preferred experience includes:

• Advanced SQL, including complex joins, CTEs, window functions, validation, reconciliation, and performance optimization.
• Python for data analysis, automation, data cleaning, API integration, and workflow improvement, including pandas, NumPy, openpyxl, matplotlib, requests, FastAPI, Streamlit, or similar libraries/frameworks.
• Power BI, Tableau, Excel, Snowflake, Salesforce, SharePoint, Varicent, or similar reporting, data, sales, or compensation platforms.
• Compensation analytics, incentive analytics, SPIFFs, accelerators, quota attainment, sales performance, payout processes, seller productivity, or core plan compensation effectiveness.
• Sales planning experience, including territory, quota, coverage, segmentation, pipeline, performance planning, or go-to-market analysis.
• Leadership reporting, executive dashboards, senior leadership presentations, business reviews, strategic recommendations, and decision-support materials.
• AT&T Business experience preferred, but not required.
• Project management experience leading cross-functional initiatives, managing timelines, dependencies, risks, requirements, stakeholder follow-ups, and executive updates.
• Project management certifications preferred, such as PMP, CAPM, PMI-ACP, Certified ScrumMaster, SAFe Agile, Lean Six Sigma Green Belt / Black Belt, or similar.
• Hands-on experience or strong working knowledge of agentic AI frameworks and orchestration tools such as LangChain, LangGraph, CrewAI, Microsoft AutoGen, Semantic Kernel, OpenAI API, Azure OpenAI, Microsoft Copilot Studio, Power Automate, Power Apps, or similar.
• Experience with retrieval-augmented generation, embeddings, vector databases, semantic search, document retrieval, prompt engineering, tool calling, function calling, workflow orchestration, API integrations, or AI-assisted analytics.

Ideal Candidate Profile

The ideal candidate is a proactive blend of data analyst, automation builder, project manager, business storyteller, and agentic solution builder.

They are comfortable working with complex compensation and sales performance data while helping senior leaders understand what the data means, why it matters, and what actions should be taken. They thrive in ambiguity, ask strong questions, identify opportunities before being asked, and use tools such as SQL, Python, Power BI, Snowflake, Azure OpenAI, Copilot Studio, Power Automate, and agentic AI frameworks to make analytics more scalable, accurate, automated, and impactful.

Our Lead Data Analysis jobs earn between $130,700.00 - $196,100.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours: 40