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CAPTRUST

Data & Analytics Lead

CAPTRUST

Data & Analytics Lead managing data definitions and analytics for CAPTRUST. Enhancing reporting and insights for operational performance and client engagement in remote settings.

Posted 5/30/2026full-timeRemote • Alabama, Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Minnesota, Mississippi, Missouri, Montana, Nevada, New Jersey, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington • 🇺🇸 United StatesSenior💰 $110,000 - $120,000 per yearWebsite

About the role

Key responsibilities & impact
  • Serve as the primary point of contact for At Work-related data and analytics needs
  • Partner with CAPTRUST’s centralized data team to prioritize, design, and improve data solutions supporting At Work
  • Help establish consistent definitions, metrics, and reporting standards across the At Work practice
  • Improve data quality, clarity, and usability over time
  • Support and enhance internal and client-facing reporting used by At Work teams
  • Work closely with Operations to understand recurring reporting needs and reduce one-off or manual efforts
  • Develop dashboards and reports that support operational planning, advisor effectiveness, and leadership decision-making
  • Translate reporting outputs into insights that inform action, not just describe activity
  • Develop qualitative and quantitative measures of client and participant engagement, trust, and relationship health
  • Help establish ongoing feedback loops across the client and participant lifecycle, beyond episodic surveys
  • Identify trends that signal strengthening relationships, stagnation, or potential breakdowns
  • Support analysis related to the annual financial wellness survey and other experience-related initiatives
  • Analyze patterns associated with strong long-term outcomes such as sustained engagement, retention, and expansion of advisory relationships as needs evolve
  • Partner with leadership and Operations to identify where additional investment of time or resources may be needed
  • Help reduce reliance on anecdotal feedback through clearer, shared insight

Requirements

What you’ll need
  • Bachelor's degree in data analytics, computer science, information systems, or a related field (or equivalent work experience)
  • 10 years’ experience in analytics, reporting, or data analysis
  • Experience with Microsoft Dynamics 365, Power BI a plus
  • Experience in advisory, professional services, or relationship-driven environments
  • Exposure to internal business intelligence tools, reporting platforms, or analytics products
  • Experience working closely with Leadership, Operations and Client-facing teams
  • Strong knowledge of retirement plans and financial wellness
  • Ability to work independently and exercise sound judgment in ambiguous environments
  • Experience translating data into insights that support operational or client-facing teams
  • Strong collaboration skills across Operations, advisors, and leadership
  • Comfort managing multiple priorities and adapting as needs evolve

Benefits

Comp & perks
  • Company discretionary bonus
  • Health, dental, and vision coverage
  • Employer 401(k) plan and company match
  • Health savings accounts
  • Flexible spending accounts
  • Voluntary supplemental plans subject to plan terms
  • Company-paid benefits such as life insurance, short-term disability, and long-term disability, subject to applicable waiting periods
  • Paid time off (PTO) or Paid Sick Leave (PSL)

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsdata analysisreportingdashboard developmentquantitative measuresqualitative measuresdata quality improvementmetrics definitiondata solutions designtrend analysis
Soft Skills
collaborationindependent worksound judgmentadaptabilitycommunicationleadership supportclient engagementrelationship managementproblem-solvingprioritization