Senior Data Analyst, Investment Finance & Valuations

at  OMERS

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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 600,000+ members, placing their best interests at the heart of everything we do.
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The Senior Data Analyst will be part of the Toronto based Financial System & Workflows Team within the Investment Finance & Valuations Division, reporting to the Senior Manager, Financial Systems & Workflow. The ideal candidate will have a strong background in data analysis, statistical modeling, and a proven track record of delivering actionable insights to drive business decision-making. The Senior Data Analyst will shape the development of the portfolio analytics capabilities for the Investment Finance & Valuations team. The role will lead various data analytics initiatives and deliver innovative solutions to Investment Finance & Valuations and partner divisions. To succeed in this role, the ideal individual needs strong attention to detail, have experience in leading data analysts, and have a proven ability to build relationships among the business groups. A keen desire to explore new technologies and implement innovative solutions will enhance the success of the role.
We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. Our flexible hybrid work guideline requires teams to come to the office a minimum of 3+ days per week.

QUALIFICATIONS:

5+ years of proven experience as a data analyst in a financial management and investment support environment
Bachelor’s or Master’s degree in Finance, Statistics, Mathematics, Computer Science, or a similar discipline
Relevant certifications such as Microsoft Certified Data Analyst Associate, Certified Analytics Professional (CAP), or similar are considered an asset
Advanced proficiency with PowerBI and other data visualization tools
Strong proficiency in data analysis tools, such as Alteryx, Python, R, or similar
Strong SQL skills for data extraction and management, and familiarity with Azure technologies
Strong knowledge of statistical methods and data visualization techniques
Familiarity with machine learning algorithms and techniques and experience implementing predictive models
Strong attention to detail and accuracy, with the ability to identify and solve data errors within a data governance framework
Excellent communication and presentation skills (written and verbal) to effectively convey complex findings and technical concepts to non-technical stakeholders
Demonstrated ability to lead and mentor a team, with strong project management skills
Ability to maintain an innovative mindset focused on delivering business value in a fast-paced and dynamic environment
As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities 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

Design and develop comprehensive interactive dashboards and reporting leveraging Power BI or similar business intelligence tools
Work across functional areas and with business stakeholders to understand and identify data and reporting objectives to develop relevant capabilities
Integrate data from various sources to create a unified view for analysis, and utilize advanced statistical and machine learning techniques to analyze data and generate insights
Collaborate with data engineers to ensure the availability and quality of data for analysis
Evaluate, analyze, and recommend potential solutions that enhance analytics and reporting
Effectively communicate complex analytical findings to non-technical stakeholders, and prepare and deliver comprehensive reports and presentations
Evaluate and recommend new tools and technologies for data analysis and be well acquainted with current industry trends and advancements in data analytics
Lead data-focused projects, collaborating with cross-functional teams to ensure successful project delivery
Develop and maintain comprehensive documentation of data sources, methodologies, transformation processes, business rules, and user guides
Contribute to the development and implementation of data governance policies and procedures
Lead and mentor the Data Analysts, and provide guidance on best practices, methodologies, and tools for data analysis, as well as training a support for the team