Sr. Analyst Advanced Analytics

Job Description

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.

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 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
• Advanced proficiency with Microsoft Excel, SQL and PowerPoint

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 $129,000 to $140,000, 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 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.