Data Operations Analyst (10-Month Contract)

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Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.  

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do.

Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Don’t just work anywhere — come build tomorrow together with us.

Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

The Data Operations Analyst supports accurate, complete, and timely investment data across market reference data, pricing, benchmarks, security master, and related domains. The role executes daily and periodic data processes, validates data quality, investigates and resolves exceptions, maintains data records and procedures, and partners with Investment, Risk, Performance, Finance, Technology, Data Governance, and vendors to meet business needs and improve operational efficiency.

In this role, you will be responsible for:

• Support daily market reference, pricing, benchmark, security master, and related investment data processes.
• Maintain investment data records across core investment platforms and follow established operational procedures.
• Validate the completeness, accuracy, and timeliness of incoming data feeds, reports, and control outputs.
• Monitor data exceptions, breaks, reconciliations, and control reports to identify issues and required follow-up.
• Investigate data quality issues, perform initial root cause analysis, and escalate unresolved or complex items appropriately.
• Support onboarding and maintenance of securities, benchmarks, investment vehicles, reference data attributes, and pricing sources.
• Respond to stakeholder inquiries related to investment data and provide timely updates on issue status and resolution progress.
• Coordinate with vendors, Technology, Investment teams, Risk, Performance, Finance, and Data Governance to support data issue resolution.
• Participate in testing, user acceptance activities, system upgrades, implementation support, and post-implementation checks.
• Assist in documenting operational procedures, workflows, controls, and process improvement opportunities.

Required Skills & Experience:

• 2+ years of experience in investment operations, data operations, middle office, back office, financial systems support, or a related operational data role.
• Working knowledge of investment products, investment data concepts, and operational data processes.
• Understanding of data quality controls, reconciliations, exception management, and operational procedures.
• Strong attention to detail, analytical thinking, and problem-solving skills, with the ability to investigate issues and support remediation activities.
• Clear communication skills and the ability to work effectively with business, technology, vendor, and data governance partners.
• Ability to operate in a time-sensitive environment, manage multiple priorities, and meet operational deadlines.
• Excel proficiency and comfort working with data, reports, reconciliations, dashboards, queries, and control outputs.

Preferred Skills & Experience:

• University degree in Finance, Commerce, Mathematics, Economics, Information Systems, or a related discipline, or equivalent practical experience.
• Familiarity with SQL, Power BI, Python, reporting tools, or workflow tools is an asset.
• Exposure to investment platforms, market data systems, operational data tools, or reporting systems such as CRD, Eagle PACE, Calypso, Bloomberg, or similar systems is beneficial.
• Interest in data governance, data stewardship, lineage, controls, metadata, data quality metrics, and operational risk management is beneficial.

Success Measures:

• Daily and periodic operational processes are completed accurately, consistently, and on time.
• Data quality controls, reconciliations, and exception monitoring activities are completed with strong attention to detail.
• Data issues are investigated, documented, escalated where required, and supported through resolution.
• Stakeholders receive timely, clear, and helpful support for investment data inquiries and issue updates.
• Operational procedures, testing activities, and process improvement efforts are supported effectively.

You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters.

As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work — and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.