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 requirements and pension administration workflows.

• Oversee and ensure data quality throughout Defined Benefits operations.

• Contribute to data-centric projects, including Actuarial Valuation activities.

• Evaluate data and operational processes to uncover efficiencies, reduce workloads, identify trends, and highlight areas for improvement.

• Be the main contact for reporting requirements, providing valuable insights to stakeholders.

• Utilize SQL and advanced Excel capabilities to analyze data, resolve discrepancies, validate findings, and assist with reporting tasks.

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

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

• Assess system and data issues to ensure compliance with client and organizational standards.

• Serve as an SME on client plan rules, requirements, and expectations.

• Guide client and system change initiatives from Discovery to Go-Live, encompassing requirements gathering, testing, implementation, and project management.

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

• Identify enhancements to systems and processes that promote quality, accuracy, and operational efficiency.

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

⛳️ Requirements

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

• Familiarity with Defined Benefits plan rules, participant data, eligibility criteria, and pension administration processes.

• Proficiency in advanced Microsoft Excel.

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

• Background in data analysis, data quality, reporting, and issue resolution.

• Experience in researching and troubleshooting system, processing, or data-related challenges.

• Capability to work with business requirements and process documentation effectively.

• Understanding of the project lifecycle and project management principles, from Discovery to Go-Live.

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

• Capacity to work autonomously with limited supervision.

🏝️ Benefits

• Health insurance coverage.

• Optional dental and vision plans.

• Life and disability insurance options.

• Retirement savings plan.

• Paid holidays.

• Paid time off (PTO), including vacation and/or sick leave.

• Potential for bonuses or incentives based on business needs.