Senior Defined Benefit Data Analyst/Scientist
About the Role
Senior Benefits Administration Services Analyst
Defined Benefits pension administration and data analysis experience
Defined Benefits knowledge with strong SQL, advanced Excel, analytical, and client-facing skills
Key Responsibilities
- Serve as a
Data Model and Defined Benefits SME
, supporting client requirements and pension administration processes.
- Own and monitor
data quality
, helping ensure accuracy and integrity across Defined Benefits processes.
- Serve as a key stakeholder for
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
, providing meaningful insights to internal and external stakeholders.
- Use
SQL and advanced Excel
to analyze data, investigate discrepancies, validate results, and support reporting.
- Act as a steward for
Conduent Data Requirements
, partnering with Data Management and other teams.
- Research and resolve escalated issues involving
eligibility, participant data, systems, and service delivery
.
- Triage system and data issues to confirm 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.
Required Qualifications
- 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.
Preferred Qualifications
- Experience supporting
Actuarial Valuation or other data-intensive Defined Benefits initiatives
.
- Experience serving as a
Data Model SME, Defined Benefits SME, or senior analyst
.
- Experience partnering with Data Management or technical teams.
- Experience working directly with external clients.
- Experience mentoring or coaching junior team members.
Key Skills
Not included in the source posting: about the role.
Skills
Who can apply
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