Analyst Advanced Analytics

Description

The work location for this role is 483 Bay Street in Toronto until approximately late 2026, when the work location will change to the new Mississauga office at 3 Robert Speck Parkway.

Company Overview:

At Fidelity Canada, we’ve been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we’re constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.

Working with us means you’ll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You’ll have a wide range of opportunities to grow and develop your career in an inclusive environment where you’ll feel valued and supported to be your best - both personally and professionally.

Business Overview:

The Advanced Analytics team within Fidelity Canada ULC’s finance department supports various business units and the senior executive team at fulfilling advanced analytical and reporting requirements. In collaboration with IT, the team works with internal clients on augmenting analytics into their operations as well as identifying and communicating significant business trends.

The Analyst, Advanced Analytics role plans, designs, develops, and deploys reporting and analytics throughout the organization, while objectively evaluating the effectiveness of various sales and marketing activities using appropriate data mining techniques.

How You’ll Make an Impact:

• Marketing, events, sales campaign analysis (AB tests, Pre vs. Post)
• Support sales and marketing targeted campaigns
• Participate in customer level analytical/research projects
• Research and prototype advanced statistical/AI models
• Complete ad-hoc requests for analysis, data extraction and information gathering
• R&D new analytical tools and techniques
• Augment periodic management reporting
• Works with tech groups to identify and resolve any data, environment, or implementation issues

What We’re Looking For:

• Completion of University degree (Engineering, Math/Statistics or Computer Science related) or equivalent work experience
• Over 2-3 years of relevant work experience
• Experience employing various statistical modelling and data analysis techniques, such as linear / logistic regression, decision trees, affinity analysis, clustering/segmentation and time series forecasting
• Experience deciphering complex data and effectively communicating results to management
• Enjoy building solutions and are comfortable writing codes and using analytical tools such as Knime
• Experience with visualization software (Tableau, Power BI), Python and SQL
• Experience applying advanced consumer intelligence / marketing techniques
• Advanced proficiency with Microsoft Excel, Access and PowerPoint
• Knowledge and experience in financial services, with a focus on the investment industry
• Experience in Data Pipeline design and GIS software
• Experience in developing and maintaining Python models.
• Certification in MS Office, SAS, KNIME, Snowflake, Tableau

The Expertise You Bring:

• Ability to communicate quantitative data into a visually engaging story
• Experience applying advanced consumer intelligence / marketing techniques
• Experience deciphering complex data and effectively communicating results to stakeholders
• Excellent time management skills with ability to work in a high performing culture with time sensitive deadlines
• Solid interpersonal and organizational skills combined with the ability to adapt to rapidly changing business environments
• Ability to work both independently and as part of a team; a self-starter with a positive attitude
• Genuine interest in capital markets, financial industry, banking, future state of technology like artificial intelligence & machine learning

Total Rewards That Reflect Your Impact:

We believe exceptional work deserves exceptional recognition. That’s why we offer a competitive compensation package designed to support your success today—and your financial well-being tomorrow.

For this role, your total rewards include:

• Base Salary and Discretionary Performance Bonus: Total annual cash compensation (base salary pus target bonus) ranges from $75,000 to $95,000, based on your experience and qualifications.

• RRSP Contribution: After 6 months of employment, we invest in your future with an RRSP contribution—no employee matching required.

We’re proud to offer a compensation package that aligns with provincial pay transparency requirements.

This posting represents an existing vacancy within our organization—an opportunity to step into a role where your talents will make a meaningful difference.

Some of the ways we’ll help you feel valued and supported as part of our team:

• Flexible working arrangements - 100% remote, hybrid, and in office options

• Competitive total compensation, including company contributions to your group RRSP without a matching requirement from you

• Comprehensive health benefits that start on your first day, with 100% employer-paid premiums, that include up to $6000 annually for mental health services and therapy

• Parental leave top-up to 100% of your salary for a period of 25 weeks

• Up to $650 for home office equipment

• Generous time off policy, including 2 paid days annually to volunteer at a charity of your choice

• Diversity and inclusion programs, including an active network of Employee Resource Groups

• Extensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation

We care a lot about fostering a compassionate, people-centric culture, and are proud to have been named one of Canada’s Top 100 employers for the last five years.

We use AI-enabled LinkedIn Hiring Assistant to support parts of our sourcing process. Every hiring decision is reviewed and finalized by our recruiters. If you choose to ask questions to the LinkedIn HR Hiring Assistant, please be mindful that the responses are not official and must be confirmed for accuracy and completeness by Fidelity. If you are selected for an interview, the recruiter who contacts you can best answer your questions.