Senior Defined Benefit Data Analyst, Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as a Subject Matter Expert (SME) for Data Modeling and Defined Benefits, assisting with client needs and pension administration tasks.

• Take ownership of and oversee data quality within Defined Benefits operations.

• Support data-driven initiatives, including Actuarial Valuation projects.

• Examine data and operational workflows to uncover efficiencies, reduce workloads, identify trends, and discover improvement opportunities.

• Function as the main point of contact for reporting requirements, delivering insights to both internal and external stakeholders.

• Utilize SQL and advanced Excel techniques to analyze data, investigate inconsistencies, validate outcomes, and assist with reporting functions.

• Collaborate with Data Management and other teams to uphold Conduent Data Requirements.

• Investigate and resolve escalated issues related to eligibility, participant data, systems, and service delivery.

• Assess system and data challenges for compliance with client and business needs.

• Serve as an SME regarding client plan regulations, requirements, and expectations.

• Lead client and system change projects from Discovery to Go-Live, including requirements gathering, testing, implementation, and project coordination.

• Maintain Business Requirements, Administrative Guides, and process documentation, securing client approval when necessary.

• Identify enhancements in systems and processes that boost quality, accuracy, and operational efficiency.

• Conduct peer reviews and provide mentorship to junior team members.

⛳️ Requirements

• Background and/or formal education in Defined Benefits pension administration.

• Understanding of Defined Benefits plan regulations, participant data, eligibility, and pension administration practices.

• Proficient in advanced Microsoft Excel functionalities.

• At least 2 years of experience in executing and developing SQL queries.

• Experience in data analysis, data quality management, reporting, and troubleshooting issues.

• Proven track record in researching and resolving system, processing, or data-related issues.

• Familiarity with business requirements and process documentation.

• Knowledge of the project lifecycle and project management, including phases from Discovery to Go-Live.

• Strong analytical, problem-solving, and communication abilities.

• Capability to work independently with minimal oversight.

🏝️ 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 needs.