Senior Data Analyst, Investment Finance
2 weeks ago
At OMERS, we empower our employees to thrive in a dynamic and inclusive workplace. As a Senior Data Analyst in our Investment Finance & Valuations Division, you will play a critical role in shaping the development of portfolio analytics capabilities.
Key Responsibilities:- Design and develop comprehensive interactive dashboards and reporting using Power BI or similar business intelligence tools.
- Collaborate with business stakeholders to understand and identify data and reporting objectives, and 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.
- 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.
- 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 and support for the team.
- 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.
We believe that time together in the office is important for OMERS and our employees, and our flexible hybrid work guideline requires teams to come to the office a minimum of 3+ days per week.
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.
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