Retirement Data Insights Analyst

LPL Financial

Fort Mill (SC)

On-site

USD 69,731 - 116,184

Full time

14 days+

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Job summary

LPL Financial is seeking a Product Analyst, Retirement Data Insights and Governance, to define and operationalize data strategy, reporting, and governance across the retirement ecosystem. You will bridge business, technology, operations, and data teams to ensure data is trusted and actionable.

You will own product flow tracking, participant‑level insights, and data quality programs, driving dashboards and analyses for leadership and advisory groups, while partnering across risk, legal, and

Qualifications

  • Bachelor’s degree with 5–7+ years of data, product analytics, or platform experience.
  • Experience with retirement products, recordkeepers, or financial services platforms.
  • Understanding of retirement data structures: plans, participants, contributions, rollovers.
  • Experience with data analysis, reporting, and visualization tools (SQL, Tableau, Power BI).
  • Proven ability to translate business requirements into data solutions.
  • Experience in a cross‑functional, matrixed environment.

Responsibilities

  • Act as SME for retirement data across products, platforms, and workflows.
  • Lead cross‑functional initiatives to enhance data infrastructure and reporting capabilities.
  • Define and document data requirements, definitions, and lineage.
  • Deliver insights through analysis, dashboards, and executive presentations.
  • Partner across Technology, Operations, Finance, and Risk to drive data initiatives.
  • Support vendor integrations and data flows related to recordkeepers and platform providers.
  • Engage stakeholders to ensure data solutions meet business and adviser needs.

Skills

SQL
Tableau
Power BI
Data analysis
Data storytelling
Cross-functional collaboration

Education

Bachelor’s degree

Job description

LPL Financial is seeking a Product Analyst, Retirement Data Insights and Governance, to define and operationalize data strategy, reporting, and governance across the retirement ecosystem. You will bridge business, technology, operations, and data teams to ensure data is trusted and actionable.

You will own product flow tracking, participant‑level insights, and data quality programs, driving dashboards and analyses for leadership and advisory groups, while partnering across risk, legal, and

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