Senior Defined Benefit Data Analyst, Scientist

Posted 12hrs ago

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Job Description

Senior data analyst managing Defined Benefits pension data, reporting, and quality for Conduent’s mission-critical client services. Supporting SQL-driven projects, pension administration, and process improvements.

Responsibilities:

  • Serve as a Data Model and Defined Benefits SME, supporting client requirements and pension administration processes
  • Own and monitor data quality across Defined Benefits processes
  • Support data-intensive projects, including Actuarial Valuation
  • Analyze data and operational processes to identify efficiencies, workload reductions, trends, and improvement opportunities
  • Serve as the primary point of contact for reporting needs and provide insights to internal and external stakeholders
  • Use SQL and advanced Excel to analyze data, investigate discrepancies, validate results, and support reporting
  • Steward Conduent Data Requirements in partnership with Data Management and other teams
  • Research and resolve escalated issues involving eligibility, participant data, systems, and service delivery
  • Triage system and data issues for adherence to client and business requirements
  • Serve as an SME for client plan rules, requirements, and expectations
  • Lead client and system change initiatives from Discovery through Go-Live, including requirements, testing, implementation, and project coordination
  • Maintain Business Requirements, Administrative Guides, and process documentation, obtaining client sign-off when required
  • Identify system and processing enhancements that improve quality, accuracy, and operational efficiency
  • Perform peer reviews and mentor junior team members

Requirements:

  • Experience and/or formal education in Defined Benefits pension administration
  • Knowledge of Defined Benefits plan rules, participant data, eligibility, and pension administration processes
  • Advanced Microsoft Excel skills
  • Minimum 2 years of SQL query execution and development experience
  • Experience with data analysis, data quality, reporting, and issue investigation
  • Experience researching and troubleshooting system, processing, or data issues
  • Experience working with business requirements and process documentation
  • Familiarity with the project lifecycle and project management, including Discovery through Go-Live
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently with minimal supervision

Benefits:

  • Health insurance coverage
  • Voluntary dental and vision programs
  • Life and disability insurance
  • Retirement savings plan
  • Paid holidays
  • Paid time off (PTO) or vacation and/or sick time
  • Bonus or incentive eligibility based on business need