Data Analyst (Limited-Term)
DATA ANALYST
Please note that this position will be filled as limited-term.
Limited term positions are funded for a specific duration—this assignment is estimated to last approximately three (3) years. While limited in funding, incumbents appointed to limited-term roles receive the same benefits as regular employees. All limited-term positions are subject to the same probationary period as regular-status positions within the same classification.
Applications will be accepted on a continuous basis until the needs of OCERS have been met. Interested applicants are encouraged to apply immediately.
DESCRIPTION
The Orange County Employees Retirement System (OCERS) is now accepting online applications for the Data Analyst recruitment.
WHO WE ARE
Established in 1945, the Orange County Employees Retirement System (OCERS) provides retirement, death, disability and cost-of-living benefits to retirees of the County of Orange and certain County districts. Serving approximately 55,000 members, OCERS is governed by a ten-member Board of Retirement that is responsible for managing a $25 billion dollar fund. For more information about OCERS, please click here.
Mission
OCERS mission is to provide secure retirement and disability benefits with the highest standards of excellence.
Vision
OCERS vision is to be a trusted partner providing premier pension administration, distinguished by consistent, quality member experiences and prudent financial stewardship.
Values
- Open and Transparent
- Commitment to Superior Service
- Engaged and Dedicated Workforce
- Reliable and Accurate
- Secure and Sustainable
THE OPPORTUNITY
OCERS is seeking an experienced Data Analyst to support the implementation and ongoing operations of our new pension administration system (PAS), Horizon. This role is critical in ensuring the accuracy, integrity, and usability of OCERS’ data assets. The Data Analyst will play a key role in data cleansing, governance, integration, and reporting, while partnering with internal departments and external employers to ensure successful adoption of Horizon.
KEY RESPONSIBILITIES
Data Quality & Cleansing
- Lead data profiling, validation, and cleansing activities to ensure accurate migration and integration with the Horizon PAS.
- Identify and resolve data inconsistencies, duplicates, and errors across multiple sources.
- Develop repeatable processes to maintain high data quality standards post-implementation.
Data Governance & Policy Development
- Help develop and implement a comprehensive data governance framework for OCERS.
- Define and document data standards, ownership, and stewardship roles.
- Ensure compliance with data management best practices, regulatory requirements, and organizational policies.
Collaboration with Internal & External Stakeholders
- Collaborate with employers to define, implement, and support data exchanges between employer systems, the existing PAS, and Horizon.
- Serve as a liaison between OCERS business units, IT, and external stakeholders to resolve data-related issues.
Data Platform & Integration
- Support the establishment of a centralized data estate in Microsoft Fabric (or other appropriate environments) to enable analytics, reporting, and secure data access.
- Define requirements and support the design of data pipelines, integrations, and automated workflows between systems.
Reporting, Analytics & Dashboarding
- Design, develop, and maintain dashboards and reports in Power BI or Tableau to provide actionable insights.
- Collaborate with OCERS departments (including Member Services, Finance, Communications, HR, Legal, and IT) to develop dashboards that improve business processes and support decision-making.
- Monitor and optimize dashboard performance to ensure timely and accurate reporting.
DISTINGUISHING CHARACTERISTICS
The Data Analyst role for OCERS Horizon project will have a specialized focus on enterprise data management, governance, and transformation in support of the Horizon pension administration system.
Key distinguishing elements include:
- Enterprise Data Focus – Direct responsibility for ensuring the accuracy, quality, and integrity of OCERS’ core pension and member data during and after migration to the Horizon PAS.
- Data Governance Leadership – Plays a lead role in developing OCERS’ data governance framework, establishing standards, and promoting data stewardship across departments.
- Employer Collaboration – Serves as a primary point of contact with external employers to define, establish, and maintain automated data exchanges critical to both current and future PAS operations.
- Cross-Departmental Impact – Unlike other data roles, this position partners with all OCERS business units (including Member Services, Finance, HR, Communications, Legal, and IT) to deliver dashboards and insights that directly improve organizational processes.
- Strategic Systems Contribution – Supports the creation of OCERS’ long-term data estate within Microsoft Fabric (or similar environments), shaping how data is integrated, secured, and leveraged across the enterprise.
- Advanced Analytics – Distinctly emphasizes visualization and insight delivery through Power BI and Tableau, going beyond reporting to support data-driven decision making.
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Position: |
Data Analyst (Limited-Term) |
| Organization: |
OCERS |
| Location: |
Santa Ana, CA
United States
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| Salary: |
$98,089.00 - $152,039.00 Annually |
| Posting Start Date: |
10/21/2025 |
| Date Posted: |
10/21/2025 |
| Requirements |
MINIMUM QUALIFICATIONS
Education and/or Experience
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field (or equivalent experience)
- 5+ years of experience of experience as a Data Analyst, Data Engineer, or similar role, ideally in public sector, financial services, or pension administration.
- Demonstrated expertise in data cleansing, validation, and transformation.
- Hands-on experience with data governance frameworks and best practices.
- Proficiency in Power BI and/or Tableau for dashboard design and analytics.
- Strong SQL skills and experience working with large, complex data sets.
- Familiarity with cloud data platforms (Microsoft Fabric, Azure, or similar).
- Excellent communication skills with the ability to collaborate across business and technical teams.
SPECIAL NOTES, LICENSES, OR REQUIREMENTS
- A valid California class C driver’s license or the ability to arrange necessary and timely transportation for field travel; may be required to use personal vehicle.
- A complete background investigation is required; a felony or misdemeanor conviction may be a disqualifying factor from employment.
HIGHLY DESIRABLE QUALIFICATIONS
- Experience of working with pension systems or other financial/benefits administration platforms.
- Knowledge of ETL/ELT tools and modern data integration patterns.
- Familiarity with data privacy, security, and compliance requirements in the public sector.
JOB CLASSIFICATION
Please click here for additional details about the Data Analyst classification.
KNOWLEDGE/SKILLS/ABILITIES
The Knowledge, Skills, and Abilities necessary to perform essential duties of the position:
Knowledge of
- Principles and practices of data management, cleansing, and validation.
- Data governance frameworks, standards, and best practices.
- Database systems (e.g., SQL Server, Oracle, or other relational databases) and querying languages.
- Data integration and exchange methods, including ETL/ELT processes and API-based data sharing.
- Pension administration systems or similar benefits/financial systems (preferred).
- Cloud-based data platforms such as Microsoft Fabric, Azure, or equivalent.
- Reporting and visualization tools, including Power BI and Tableau.
- Best practices in data privacy, security, and compliance, especially in the public sector.
- Project management principles, particularly in relation to system implementation and data migration.
Skills in
- Data profiling, analysis, and transformation to ensure quality and consistency.
- Building and maintaining dashboards, reports, and visualizations that provide actionable insights.
- Using SQL and other query tools to extract, analyze, and manipulate large data sets.
- Designing and supporting data exchanges with external employers and systems.
- Documenting processes, standards, and requirements for both technical and non-technical stakeholders.
- Communicating effectively, both in writing and orally, with diverse audiences.
- Facilitating cross-functional collaboration to gather requirements and deliver solutions.
Ability to
- Develop and enforce data governance policies that promote accountability and data stewardship.
- Work with business units and external employers to define, implement, and sustain data exchanges.
- Analyze complex problems, identify root causes, and recommend practical, data-driven solutions.
- Translate technical data concepts into clear business language for decision-makers.
- Manage multiple priorities in a fast-paced environment while maintaining high attention to detail.
- Build strong working relationships across departments, fostering a collaborative, service-oriented approach.
- Anticipate and adapt to the evolving needs of a new pension administration system (Horizon).
- Uphold OCERS’ mission and values by ensuring data integrity that supports accurate, timely member services.
The successful candidate will demonstrate the following attributes:
- Data-Driven Mindset – A passion for using data to solve problems, improve processes, and drive organizational success.
- Technical Proficiency – Skilled in SQL, data cleansing, data integration, and modern analytics platforms such as Power BI or Tableau; comfortable working in cloud-based environments like Microsoft Fabric or Azure.
- Strong Communicator – Able to translate complex data concepts into clear insights for both technical and non-technical audiences, including OCERS leadership, staff, and external employers.
- Collaborative Partner – Works effectively across diverse departments (Member Services, Finance, HR, Legal, IT, and Communications) and with external employers to build solutions that meet shared goals.
- Strategic Thinker – Sees beyond immediate reporting tasks and actively contributes to the development of a long-term data governance framework and data estate.
- Adaptable Problem-Solver – Comfortable navigating the challenges of a large system implementation and able to balance competing priorities while maintaining attention to detail.
- Mission-Oriented – Brings a public service mindset, with a commitment to ensuring that data integrity and governance support OCERS’ long-term ability to serve its members.
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| Status: |
This listing expires on: 12/20/2025 |
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