Hybrid Senior Analyst, Advanced Analytics na Fidelity Canada

Job Description

Note that this is a fixed-term contract position ending on June 26, 2026.

About Us:

At Fidelity, 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 Business Analytics team within Fidelity Canada ULC’s finance department supports various business units and the senior executive team with advanced analytical solutions to support decision making. In collaboration with IT, the team works with internal clients on leveraging data, establishing patterns and customer journeys, as well as identifying and communicating significant business trends.

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

What You Will Do:

Stakeholder Management (10-20%)

• Works with key stakeholders to understand the business problem and translate it into appropriate analytics solution.
• Engages with key stakeholders for smooth execution, delivery and implementation of solutions

Developing and Delivering Solutions (40-50%)

• Works independently on complex analyses using machine learning and statistical modelling techniques while leveraging both open source (R/Python, JupyterHub) and proprietary tools (KNIME, RapidMiner)
• Marketing, events, sales campaign analysis (AB tests, Pre vs. Post)
• Research and Prototype advanced statistical/AI models.
• Works with tech groups to bring models to production and to identify and resolve any data, environment, or implementation issues.
• Story telling with the help visualization tools (Powerpoint, Tableau, PowerBI, R-Shiny etc.)
• Enhance existing data visualization capabilities for Sales, Marketing, Leadership team
• Develop flexible backend and front-end systems to support the modelling, data visualization and analytics solutions.
•  Machine Learning / Statistics Oriented Analytical Support

  Time series, regression, affinity, clustering & decision tree model development

  Research and development of emerging analytics techniques (e.g. deep learning / natural language processing)

  Understanding of agile development and model development lifecycle

• Date engineering, Ad-hoc data management and periodic reporting

Collaboration and Ownership (5-10%)

• Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations.
• Takes complete independent ownership of the projects and the initiatives in the team with the minimal support.
• Centralized analytics expertise reduces redundancies and maintains consistent impartial messaging to management.

Developing/evaluating tools, methodologies, or infrastructure: (25-30%)

• Evaluates/develops, advance tools, methodologies or infrastructure to support long-term business problems and take the group to the next level, e.g. modelling software, modelling methodologies, data and system requirements, scoring process, optimization environment.
• Accelerate Development of AI/ML Solutions: Research of all new and existing AWS platform data science solutions (e.g. proprietary voice, image, translation, and documentation analysis)

What We Are Looking For:

• 3-5 years of 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 stakeholders.
• Experience in Marketing and digital analytics using Adobe Stack, Marketo, Google Analytics
• Demonstrated proficiency with enterprise data mining tools like SAS, RapidMiner, KNIME, Alteryx
• Experience with business intelligence software (Tableau, PowerBI, Business Objects, Cognos etc.)
• Experience applying advanced consumer intelligence / marketing techniques.

The Expertise You Bring:

• Ability to communicate quantitative data into a visually engaging story.
• 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
• University degree (Business, Analytics, Math/Statistics or Computer Science related)
• Advanced proficiency with Microsoft Excel, SQL and PowerPoint

The following are assets.

• Knowledge and experience in financial services, with a focus on the investment industry
• Graduate degree in statistics, mathematics or computer science
• Experience in Adobe Analytics, digital analytics, marketing and advertising
• Certification in KNIME, RapidMiner, SAS or SPSS, Snowflake, Tableau
• Experience in working with APIs and real time data connectivity to various service providers.

Note that this is a fixed-term contract position ending on June 26, 2026.

You will be working on a predefined hybrid schedule as part of Fidelity’s dynamic working arrangement.

Current work authorization for Canada is required for all openings.

Fidelity Canada is an equal opportunity employer

Fidelity 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 process

Fidelity 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 FidelityCanadaStaffing@fidelity.ca.

No telephone inquiries or agencies please. We thank all applicants for their interest, please be advised that only those selected for an interview will be contacted.

Why Work at Fidelity?

We are proud to be recipients of the following:

Awards

•    Canada's Top 100 Employers 
o    Greater Toronto's Top Employers 
o    Canada's Top Family-Friendly Employers 
o    Canada's Top Employers for Young People 
  
•    Great Place To Work® Certified 
o    Best Workplaces for Inclusion 
o    Best Workplaces for Mental Wellness 
o    Best Workplaces for Today's Youth 
o    Best Workplaces for Women 
o    Best Workplaces in Financial Services & Insurance 
o    Best Workplaces in Ontario 
o    Best Workplaces with Most Trusted Executive Teams 

•    LinkedIn Top Companies in Canada
  
•    Human Resource Director (HRD) - Best Place To Work 
o    HRD - 5-Star Benefit Program 
o    HRD - 5-Star Diversity & Inclusion Employer 

Designations
•    Canadian Compassionate Companies – Certified 
•    Benefits Canada's Workplace Benefits Award - Future of Work Strategy 
•    TalentEgg National Recruitment Excellence Award - Special Award for Diversity & Inclusion in Recruiting 
•    Canadian HR Reporter's Most Innovative HR Team