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 setting 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 campaignsParticipate in customer level analytical/research projectsResearch and prototype advanced statistical/AI modelsComplete ad-hoc requests for analysis, data extraction and information gatheringR&D; new analytical tools and techniquesAugment periodic management reportingWorks with tech groups to identify and resolve any data, environment, or implementation issuesWhat We’re Looking For:
Completion of University degree (Engineering, Math/Statistics or Computer Science related) or equivalent work experienceOver 2-3 years of relevant work experienceExperience employing various statistical modelling and data analysis techniques, such as linear / logistic regression, decision trees,



affinity analysis,clustering/segmentationand time series forecastingExperience deciphering complex data and effectively communicating results to managementEnjoy building solutions and are comfortable writing codes and using analytical tools such as KnimeExperience with visualization software (Tableau, Power BI), Python and SQLExperience applying advanced consumer intelligence / marketing techniquesAdvanced proficiency with Microsoft Excel, Access and PowerPointThe Following are Assets:Knowledge and experience in financial services, with a focus on the investment industryExperience in Data Pipeline design and GIS softwareExperience in developing and maintaining Python models.Certification in MS Office, SAS, KNIME, Snowflake, TableauThe Expertise You Bring:
Ability to communicate quantitative data into a visually engaging storyExperience applying advanced consumer intelligence / marketing techniquesExperience deciphering complex data and effectively communicating results to stakeholdersExcellent time management skills with ability to work in a high performing culture with time sensitive deadlinesSolid interpersonal and organizational skills combined with the ability to adapt to rapidly changing business environmentsAbility to work both independently and as part of a team;
a self-starter with a positive attitudeGenuine interest in capital markets, financial industry, banking, future state of technology like artificial intelligence & machine learningTotal 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
$85,000
to
$107,000, 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 optionsCompetitive total compensation, including company contributions to your group RRSP without a matching requirement from youComprehensive health benefits that start on your first day, with 100% employer-paid premiums,



that include up to $6000 annually for mental health services and therapyParental leave top-up to 100% of your salary for a period of 25 weeksUp to $650 for home office equipmentGenerous time off policy, including 2 paid days annually to volunteer at a charity of your choiceDiversity and inclusion programs, including an active network of Employee Resource GroupsExtensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designationWe 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.Fidelity Canada is an equal opportunity employerFidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans’ status, Aboriginal/Native American status or any other legally-protected ground.Accommodation during the application processFidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation, please email us at [email protected] Work at Fidelity?
We are proud to be recipients of the following:Awards
Canada's Top 100 Employers
Greater Toronto's Top EmployersCanada's Top Family-Friendly EmployersCanada's Top Employers for Young People
Great Place To Work Certified
Best Workplaces for InclusionBest Workplaces for Mental WellnessBest Workplaces for Today's YouthBest Workplaces for WomenBest Workplaces in Financial Services & InsuranceBest Workplaces in OntarioBest Workplaces with Most Trusted Executive Teams
LinkedIn Top Companies in CanadaHuman Resource Director (HRD) - Best Place To Work
HRD - 5-Star Benefit ProgramHRD - 5-Star Diversity & Inclusion Employer
Designations
Canadian Compassionate Companies – CertifiedBenefits Canada's Workplace Benefits Award - Future of Work StrategyTalentEgg National Recruitment Excellence Award - Special Award for Diversity & Inclusion in RecruitingCanadian HR Reporter's Most Innovative HR Team
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📌 Analyst Advanced Analytics (Winnipeg)
🏢 Fil
📍 Winnipeg