Retirement Plan Jobs in Chicago, Illinois

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Data Quality Analyst

Company: Press Ganey

Location: Chicago, IL

Posted Feb 02, 2025

PG Forsta is a leading experience measurement data analytics and insights provider, serving clients globally across various industries. The company emphasizes the importance of Human Experience and has a mission to empower organizations to deliver the best experiences. The Analytics Data Quality Analyst role is critical for maintaining data integrity, enforcing data quality standards, and ensuring compliance with regulatory requirements. The ideal candidate should have 5+ years of experience in data quality management, strong knowledge of healthcare data structures, and proficiency in SQL and data quality tools.

Frequently Asked Questions

What are typical salary ranges by seniority for Retirement Plan roles?
Entry‑level Analyst: $55,000–$70,000; Mid‑level Manager: $80,000–$100,000; Senior Director: $120,000–$150,000; C-suite Executive: $180,000+ depending on firm size.
Which skills and certifications are essential in Retirement Plan careers?
Core skills: ERISA knowledge, fiduciary duty, data analysis, Excel, SQL, and plan software (e.g., Fidelity, Vanguard). Certifications: PTC (Plan and Trust Compliance), CFP (Certified Financial Planner), and Actuarial credentials (Associate or Fellow).
Is remote work available for Retirement Plan positions?
Yes—many firms offer hybrid or fully remote roles, especially for analysts and compliance staff, as plan data can be accessed securely via VPN and cloud platforms.
What career progression paths exist within Retirement Plan?
Typical trajectory: Analyst → Senior Analyst → Manager → Senior Manager → Director of Retirement Solutions → VP of Benefits. Each step adds fiduciary responsibility, client portfolio management, and strategic planning.
What industry trends are shaping Retirement Plan careers?
Key trends include fintech integration for automated plan management, ESG‑aligned investment options, increased regulatory scrutiny (e.g., SEC 2025 updates), and higher demand for data‑driven plan optimization.

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