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Ascension is seeking an experienced Data Analyst to support a mission-critical IRS initiative focused on improving taxpayer communications, evaluating taxpayer response behaviors, and enhancing the effectiveness of math error notices. The ideal candidate will transform complex datasets into actionable insights that help the IRS evaluate pilot outcomes, optimize taxpayer correspondence processes, and make data-driven decisions that improve taxpayer understanding and compliance.

This individual will support IRS efforts to modernize taxpayer communications by applying analytical techniques, statistical methods, data visualization practices, and business intelligence capabilities. The Data Analyst will analyze notice performance data, identify trends and correlations, evaluate taxpayer outcomes, and develop analytical products that enable IRS leadership and program stakeholders to understand the effectiveness of redesigned notices and pilot initiatives.

The successful candidate will bring strong analytical skills, attention to detail, and the ability to translate technical findings into understandable recommendations for executives, program managers, and business stakeholders. The candidate must be comfortable working in a collaborative environment involving data analysts, business process specialists, researchers, program managers, and IRS stakeholders.

Summary of Contractor Role

The Data Analyst will provide analytical support for the IRS Taxpayer Correspondence Services (TCS) Math Error Notices Pilot Program by conducting data analysis, performance measurement, statistical analysis, reporting, and visualization activities. The role supports multiple program tasks, including evaluating certified mail pilot outcomes, analyzing taxpayer response behavior, identifying opportunities for business process improvement, and supporting user research evaluation.

The Data Analyst will work with historical notice data, taxpayer response information, taxpayer notice codes (TPNCs), compliance outcomes, and operational performance metrics to identify patterns and develop recommendations. The individual will support the development of analytical datasets, executive briefings, dashboards, reports, and other decision-support products.

Key responsibilities include:

• Supporting performance analytics activities to evaluate the relationship between notice composition, taxpayer behavior, compliance outcomes, abatement requests, and IRS resource utilization.
• Performing statistical analysis and data modeling to support pilot program evaluation.
• Developing analytical datasets and reporting products to support program decision-making.
• Creating dashboards, visualizations, and executive-level presentations to communicate findings.
• Supporting business process optimization by identifying trends, inefficiencies, and opportunities for improvement.
• Applying data analytics techniques to support taxpayer experience improvements.

The IRS PWS specifically requires analysis of historical notice information, taxpayer outcomes, taxpayer notice codes, compliance trends, taxpayer behavior, call center demand, and text analytics to identify opportunities for improvement. The role also supports development of analytical datasets and code used to generate insights at the conclusion of the performance period.

Expected Day-to-Day Activities / Responsibilities

The Data Analyst will:

• Analyze historical taxpayer correspondence data to identify trends, correlations, and performance indicators.
• Evaluate relationships between notice design elements, taxpayer responses, abatement requests, compliance outcomes, and IRS workload impacts.
• Perform statistical analysis to support certified mail pilot evaluation activities.
• Develop analytical models and datasets supporting program evaluation and decision-making.
• Extract, clean, validate, and transform data from multiple sources to support reporting and analysis.
• Conduct exploratory data analysis to identify patterns, anomalies, and improvement opportunities.
• Analyze Taxpayer Notice Codes (TPNCs) and recommend opportunities for upstream process improvements.
• Develop dashboards, reports, and visualizations using business intelligence tools.
• Prepare executive briefings, analytical summaries, and presentation materials for IRS leadership.
• Support development of analytic datasets, documentation, and reusable analytical processes.
• Collaborate with program managers, business process analysts, researchers, and IRS stakeholders to define analytical requirements.
• Support user research evaluation efforts by analyzing survey results, focus group findings, and taxpayer feedback data.
• Apply data visualization techniques to communicate complex findings in a clear and actionable manner.
• Document analytical methodologies, assumptions, processes, and results.
• Participate in working sessions, stakeholder meetings, and program reviews.
• Support quality assurance activities to ensure accuracy and reliability of analytical products.