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Intern - Business Insights & Analytics (Fall 2023 - 4 Month Contract)
Company | Ontario Teachers' Pension Plan |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services,Investment Management |
Expires | 2023-06-07 |
Posted at | 1 year ago |
The Deadline To Apply For This Role Is
- Using technical and business skills to manipulate and draw conclusions from data and provide actionable audience specific recommendations.
- Automation of existing and new processes using Python, APIs, SAS and/or other software as needed to assist in data analysis, tracking and maintenance.
- Supporting multi-channel tracking and analytics (web, telephone, email etc.)
- Providing monthly reporting on key performance indicators and statistics.
- Utilizing Business Intelligence Tools to manage the collection, analysis and communication of insights to enable the business to: make informed decisions, forecast implications of initiatives undertaken, and monitor changes introduced to improve client experience.
- Developing and utilizing a variety of processes and methodologies to glean insights into client segments, including attitudes (consumer, financial services, technology, etc.), behaviors, needs and wants, and share insights to ensure cross-functional understanding.
- Working cross functionally as part of larger project teams to deliver against corporate scorecard initiatives.
- Must be enrolled in 2nd, 3rd or 4th year or related Master’s program
- You should be enrolled in a co-op program or returning to your studies after the work term is completed
- Strong analytical, data manipulation and problem-solving skills and ability to distil insights and assess opportunities.
- Effective communication and interpersonal skills.
- Solid understanding of Microsoft Word, Excel, and PowerPoint.
- Ability to learn programming languages, business intelligence tools and other software quickly.
- Passion for research methodologies, exploratory data analyses, predictive modelling, segmentation, user experience, and web analytics.
- Experience in statistics, research and data analysis.
- Intermediate coding experience (algorithm design, object-oriented programming, data structures) in any language. Knowledge of Python, SQL, SAS and/or SPSS is an asset but not required.
- Pursuit of a University degree in Computer Science, Mathematics, Statistics, or a related quantitative/research field
- Numerous opportunities for professional growth and development, including lunch and learns
- Student led team building events on a monthly basis
- Employee discount programs including Edvantage and Perkopolis
- Degreed: a digital platform that helps you quickly and easily discover, share, and track various learning resources — from courses to videos to articles and more
- Copy of your transcripts
- Resume
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