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Reporting to the Senior Manager, Data Integration & Performance Platform, the Business Analyst will support and contribute to a variety of initiatives across our mission-critical data and investment performance platforms. Working alongside senior business analysts, developers, and platform stakeholders, the incumbent will develop their ability to gather and document requirements, support platform enhancements, assist with testing and production support, and contribute to the ongoing quality and discoverability of our platform documentation.
This role is designed for someone early in their career who is ready to take on real work, learn quickly, and grow their ownership over time as they demonstrate capability.
Responsibilities
Participate in both Agile and Waterfall projects related to data and performance platform enhancements, system integrations, and process improvements, developing familiarity with end-to-end delivery across both methodologies
Support the documentation of project scope, objectives, deliverables, and timelines under the guidance of senior team members, building toward independent ownership of smaller initiatives
Assist in gathering and analyzing requirements for projects impacting the OMERS investment data warehouse and performance measurement platform, contributing to the production of user stories, business requirements documents, process flow diagrams, and data flow documentation
Develop and build proficiency in investment reporting using SQL, Power BI, or similar tools, with initial work supported by senior team members
Support the definition and execution of business test plans, including functional, integration, and regression testing, developing the ability to design and run structured test cases independently over time
Contribute to change management activities including identifying stakeholder impacts, supporting end-user training, and assisting with communications
Work with technology teams on system enhancements, upgrades, and patches, gaining exposure to how platform changes are scoped, implemented, and validated
Develop familiarity with the data warehouse and performance measurement platforms, working toward becoming a reliable resource for internal partners on data and platform questions
Contribute to support documentation including troubleshooting guides, knowledge base articles, data dictionaries, data lineage documentation, and metadata — building skills in producing clear, structured, and discoverable content
Support data accuracy and integrity monitoring, learning how to identify and triage production data issues and communicate status and resolution to stakeholders
Actively use AI tools such as Microsoft Copilot 365 as part of day-to-day work, and contribute to the team’s ongoing effort to identify where AI can be embedded within existing processes or used to redesign them
Build relationships with platform partners by contributing to a culture of transparency, collaboration, and service excellence
Qualifications
0–3 years of experience in a business analysis, data, or technology-adjacent role; relevant internships, co-op terms, and academic project work are considered
Foundational understanding of business analysis concepts such as requirements gathering, process documentation, or user stories — with a clear willingness to deepen these skills on the job
Working knowledge of SQL and relational databases; you do not need to be an expert, but you should be comfortable writing queries, learning from data, and building your skills with practice
Exposure to ETL or data pipeline concepts, data warehousing fundamentals, or similar data integration patterns, whether through coursework, personal projects, or professional experience
Some awareness of investment performance measurement, financial instruments, or the investment lifecycle is an asset but not a requirement; genuine curiosity about the capital markets domain matters more
Hands-on experience with investment applications such as Eagle, SimCorp, FactSet, Bloomberg, or Aladdin is a plus but not expected at this level
Familiarity with the Azure cloud platform or Snowflake is considered a nice to have
Active use of AI tools such as Microsoft Copilot, ChatGPT, or similar in your own workflows; experience with prompt engineering or AI-assisted process improvement is a differentiator
Strong written and verbal communication skills with the ability to convey technical concepts clearly to non-technical audiences
Analytical and structured in your thinking, with demonstrated ability to work through ambiguity and ask the right questions
Highly collaborative, with a track record, however early, of contributing positively to team environments
Bachelor’s Degree in a related field such as Computer Science, Engineering, Mathematics, Accounting, Finance, or Economics
CFA and CBAP certifications are considered an asset
Possesses drive, optimism, and a genuine desire to deliver with excellence and a commitment to continuous improvement
This posting is for an existing vacancy.
The expected salary range for this position is $86,000.00 - $130,000.00 per year, prorated based on the term of the contract.
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.