Job Description Job Description
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 energetic 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.
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.
Role Overview The Advanced 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 Senior 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 (20-30%)
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
Balance interests and negotiate solutions that drive consensus while supporting business objectives
Developing and Delivering Solutions (40-50%)
Hands-on experience with statistical modelling techniques using python
Marketing, events, sales campaign analysis (AB tests, Pre vs. Post, Journey orchestration)
Evaluates and develops advanced tools, methodologies or infrastructure to support long-term business problems and take the group to the next level
Works with tech teams to bring models to production and to identify and resolve any data, environment, or implementation issues.
Understanding of agile development and model development lifecycle, familiarity with CI/CD pipelines
Research and prototype AI/ML Solutions, development of emerging analytics techniques
Storytelling with the help of visualization tools (Tableau, PowerBI etc.) and enhance existing data visualization capabilities for Sales, Marketing & Leadership team
Data engineering, Ad-hoc data management and periodic reporting
Collaboration and Ownership (10-20%)
Sharing of knowledge, best practices with the team including coaching or training in AI/ML 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 minimal support.
Centralized analytics expertise reduces redundancies and maintains consistent impartial messaging to management.
What We're 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
University degree (Engineering, Math/Statistics or Computer Science related) or equivalent work experience
Experience deciphering complex data and effectively communicating results to stakeholders.
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 Adobe Stack, digital analytics, marketing and advertising
Certification in KNIME, SAS or SPSS, Snowflake, Tableau
Experience in working with APIs and real time data connectivity to various service providers.
Knowledge of Gen AI/LLM/NLP
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 skill

#J-18808-Ljbffr

📌 Sr Analyst Advanced Analytics (Ontario)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Ontario