Senior Data Analyst

OPTrust • Toronto, ON

10d • Hybrid

About The Position

This role is accountable for delivering technical expertise and contributing to the development and maintenance of data management practices. The mandate includes designing and implementing business processes, systems, methods and procedures that ensure accurate reconciliation, strong controls, and a high standard of quality and integrity for employer and plan member information. In addition, this position is responsible for building and maintaining reporting solutions using business intelligence tools, enabling actionable insights and informed decision-making across the organisation.

Requirements

• Advanced knowledge of pension plan administration and of related legislation/plan provisions, including the OPSEU Pension Plan text, the Pension Benefits Act, the Family Law Act, and federal statutes such as CPP, EI, and the Income Tax Act.
• Applied knowledge of business and administrative processes and systems in the financial services sector.
• Familiar with extracting, transforming, and loading (ETL) methods for large datasets, integrating source data to produce actionable insights.
• Knowledge of electronic data processing and financial system controls and methods to establish operating procedures that ensure control and integrity of data management processes.
• Knowledge of database systems operations and use, spreadsheet applications, and database inquiry languages and products to resolve complex data problems, redesign work processes/procedures, and provide technical assistance/guidance to junior staff.
• Experience using MS Office Suite (Excel, PowerPoint, Power BI).
• Post-secondary degree or diploma.
• Experience with database systems operations.
• Experience building dashboards using Microsoft Power BI or Tableau.
• Familiar with SQL and writing scripts to extract data.
• Strong research and analytical skills to identify and resolve complex membership data problems and improve operating/control procedures and efficiency and make related recommendations.
• Strong organisational skills to balance workload and set priorities.
• Excellent written and verbal communication skills.
• Interpersonal and negotiation skills along with a strong client service orientation.
• Positive attitude towards work and colleagues to support team goals and organization values of strong teamwork, cooperation and mutual respect.
• High degree of accountability and personal leadership.
• Exemplify OPTrust’s values: collaboration and teamwork, integrity, respect, flexibility, excellence, and continuous improvement.

Nice To Haves

• Experience with RPA or other automation development is highly preferred.

Responsibilities

• Provide expertise on business intelligence and data management standards, business process operating methods, and work procedures.
• Build and prepare statistical reports and/or presentations on results, findings, and recommendations related to business process reviews and ongoing data management functions, identifying and documenting trends in data problems and passing on information and suggestions regarding improved data handling and control to the manager.
• Provide support to product owners by generating and presenting data in a form that assists with business decisions (trends, projections, volumes, etc.).
• Work with datasets by extracting, transforming, organising, and translating raw data into actionable insight, data workflow, and work-inventory management for the department to maintain service levels, productivity, and standards.
• Analyse and establish internal work processes, procedures, and controls related to the entire cycle of data interface processing and reconciliation.
• Follow up with OPTrust staff and employers to resolve data processing and reconciliation problems, including source file issues, membership and contribution split reconciliations, problem-solving of aborted updates of the pension database, and recovery implementation.
• Represent OPTrust in discussions with employers regarding OPTrust data control and integrity requirements.
• Follow up and assist employers in reviewing work processes and procedures related to member data.
• Detect and implement solutions to complex data integrity issues with employers and OPTrust business areas.
• Design and deliver presentations, education, and training to employer representatives or OPTrust staff regarding data management processes, systems, and procedures.
• Develop and support initiatives in achieving departmental benchmarks and goals.
• Work with individual smaller employers/payroll providers to improve their extract programmes to meet OPTrust’s requirements.
• Develop structured testing of data received to improve business processes.
• Develop audit programmes to validate the data received from employers.
• Lead the batch data remediation processes for batch extracts, including Annual Pension Statement (APS).
• Support generating remediation information for the Annual Valuation Extract (AVE) purposes to reduce remedial process time.
• Perform annual update and verification of system tables.
• Represent the data management group in special project work teams related to the design testing and implementation of new system applications as well as annual project deliverables.
• Provide business analysis from a data management perspective on projects regarding member- and employer-data-related controls and completeness and accuracy of such data; projects cover areas such as data purification, production of accurate annual pension statements to members, extraction of actuarial data, and maintenance of pension records and benefits for members on long-term disability.
• Analyse data management user requirements related to new application development.
• Participate in system design walkthroughs and evaluations.
• Develop user acceptance test plans, including test strategy, test criteria, and test data identification, resources, and time estimates; implement and control user acceptance test projects, identifying issues with IT as needed.
• Control code table administration for the pension database and security requests for special project users.
• Design and deliver training and support to users of the pension database and coordinate database communication updates.

Benefits

• Unique culture rooted in our core values – collaboration and teamwork, integrity, respect, flexibility, excellence and continuous improvement.
• A purpose-driven environment where we all work towards the common goal of paying pensions today and preserving pensions for tomorrow.
• A flexible, hybrid work model.
• Benefits package after six months of consecutive employment.
• Optional membership in our world-class defined benefit pension plan.
• A dedicated inclusion, diversity and equity strategy with meaningful opportunities to participate, including our employee-led resource groups.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees