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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 600,000+ 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 Student, Data Analyst opportunity is focused on collecting, analyzing, and interpreting data to help organizations make informed decisions.
Responsibilities:
- Data Collection: Gather data from various sources, including databases, spreadsheets, and external sources.
- Data Cleaning: Review and clean data to ensure accuracy and completeness.
- Data Analysis: Use statistical techniques to analyze data and identify trends or patterns.
- Reporting: Create reports and visualizations (e.g., charts, graphs, dashboards) to present findings to stakeholders.
- Collaboration: Work with cross-functional teams to understand data needs and provide insights.
- Database Management: Assist in maintaining and updating databases and data systems.
- Process Improvement: Identify opportunities to improve data collection and analysis processes.
Skills:
- Proficiency in data analysis tools (e.g., Excel, SQL, Python, R).
- Strong analytical and problem-solving skills.
- Ability to interpret and present data clearly.
- Basic programming skills.
- Attention to detail and accuracy.
- Experience: Previous experience in a similar role is beneficial but not always required.
Key Duties:
- Collecting and organizing data from various sources.
- Cleaning and preprocessing data to ensure quality.
- Analyzing data to identify trends and patterns.
- Creating visualizations to communicate findings.
- Supporting senior analysts and data scientists in more complex analyses.
You should apply if:
- Current enrollment in an undergraduate degree specializing in Accounting/Finance, Computer Science, or Data Analytics
- Strong interest in pursuing a career in Capital Markets or FinTech
- An understanding of investment products including bonds, equities, derivatives, and alternative investments
- Excellent communication skills (verbal and written)
- Analytical, organized, and great attention to detail
- Demonstrated ability to work well with others
- Proficiency with Microsoft Excel and Microsoft PowerPoint
- Experience with data engineering tools (e.g., SQL, PowerBI) is an asset
- CSS with pre-processors like Sass being an asset
- Object-oriented and functional programming experience
- ReactJS, with associated testing and state libraries as an
- Web services experience; building and consuming: especially RESTful APIs
- AWS, Google GCP, Azure, Heroku and other cloud platform experience is an asset.
- Docker, Kubernetes experience is an asset
- Git and Github/Gitlab workflow, git command line is an asset.
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.
