Analyst, Advanced Analytics- job post Fidelity Investments

Job Description
Please note:

Current work authorization for Canada is required for all openings.
This is a regular, full-time role.
You will be working on a flexible hybrid schedule as part of Fidelity’s dynamic working arrangement.
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
The Following are Assets:

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