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Compliance Insights Analyst - Corporate Compliance

Job in McAlisters Crossroads, Allegheny County, Pennsylvania, USA
Listing for: DICK'S Sporting Goods
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis
  • Business
    Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 55000 - 75000 USD Yearly USD 55000.00 75000.00 YEAR
Job Description & How to Apply Below

At DICK'S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world's greatest sports team, apply to join our team today!

Overview

Job Duties and Responsibilities Data Aggregation and Analysis
  • Coordinate the collection, preparation, cleaning, verification, and aggregation of compliance and compliance-related data from cross-functional sources.
  • Synthesize structured and unstructured data to identify trends and meaningful insights to support decision‑making.
  • Prepare clear data visualizations, dashboards, and written summaries that translate data into actionable stories for a range of stakeholders.
  • Conduct data quality checks and monitor data inputs to ensure accuracy and reliability over time.
  • When needed, support requirements gathering, data mapping, documentation, and testing related to data and reporting processes.
  • Continuously improve reporting methods, visualization approaches, and data intake workflows to enhance clarity, efficiency, and usability.
  • Provide timely ad-hoc data analysis, metric clarification, and consulting support to business partners and leaders.
Process Improvement
  • Apply established process improvement methodologies to evaluate compliance-related workflows, data inputs, and stakeholder interactions.
  • Support the development of processes, tools, and infrastructure required to manage and track compliance program outcomes and compliance-related data.
  • Partner with business units to mature data inputs and underlying processes; analyze current workflows, identify improvement opportunities, and recommend practical, repeatable solutions (including standardization and automation when feasible).
  • Translate business needs and requirements to the Technology Solutions team to ensure alignment between compliance objectives and system capabilities.
  • Support the design and implementation of compliance-related pilots or field tests, and lead associated data analysis where appropriate.
Compliance Program Support
  • Support internal data-related benchmarking efforts, including developing baselines in various compliance and compliance-related areas from complex data and information sources.
  • Assist management with external benchmarking as needed.
  • Maintain curiosity and foundational knowledge across key compliance areas in a retail environment to support flexible collaboration and informed analysis.
  • Provide other support as needed to the Corporate Compliance team, including the VP of Corporate Compliance & Associate General Counsel.
Qualifications
  • Bachelor's Degree in Business Intelligence, Data/Business Analytics, Information Technology, Organizational Leadership, Statistics, Audit, or a similar field. Equivalent experience considered.
  • 1-3 years experience in Data analysis, business analysis, process improvement, or related project coordination roles. Experience with data aggregation, reporting/visualization. Working across functions preferred. Retail or compliance experience is a plus. Less experience considered with a relevant Master's degree.
  • LEAN/Six Sigma Green Belt or above preferred.
  • Data Visualization Tools (PowerBI, Qlik, etc.)
  • SharePoint experience preferred.
  • Business Intelligence/Analytics Tools (R, Alteryx, etc.) preferred.
  • Working knowledge of statistical methods (e.g.: descriptive analytics, trend identification, A/B testing, or basic predictive concepts).
  • Ability to synthesize structured and unstructured information across diverse intakes into clear, actionable insights.
  • Strong attention to…
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