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Fidelity Canada is seeking a Senior Technical Analyst, Data Engineering and Business Intelligence, to design and scale internal data pipelines and analytics tools using Python and Snowflake. This role collaborates with Product, BI and IT to modernize processes and enable self-service analytics.
You will deliver data models, dashboards and automated reporting, supporting ETL transformations and governance across platforms like Tableau, Power BI and SAP BO.
Job Description 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. 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.
As a Senior Technical Analyst, Data Engineering and Business Intelligence, at Fidelity Investments Canada, you will focus on building, automating and scaling internal data pipelines and analytics tools using Python and Snowflake, while also supporting the Business intelligence enablement through modern BI tools. The role supports analytics and automation for the Product organization, including product research, development and ETF capital markets functions. You will work closely with Product, BI and IT teams to modernize spreadsheet-based processes, improve data reliability and enable self-service analytics through well-designed Data Models and Dashboards. Data Engineering & Automation Design, develop and maintain Python-based data pipelines, automation scripts and internal analytics tools. Build and optimize data transformations, models and workflows in Snowflake and Informatica Cloud. Convert existing spreadsheet-based models into scalable, centralized Python and Snowflake-based solutions. Automate internal reporting, data validation, back-testing and analytical workflows to reduce manual effort and error risk. Partner with the Product team to support analytics related to competitor analysis, performance reporting, risk ratings, fund comparisons and research initiatives. Apply sound engineering practices including version control (Git), modular code design, logging and unit testing. Support an agile development approach, responding to evolving internal business needs.
Design, develop and maintain Python-based data pipelines, automation scripts and internal analytics tools. Build and optimize data transformations, models and workflows in Snowflake and Informatica Cloud. Convert existing spreadsheet-based models into scalable, centralized Python and Snowflake-based solutions. Automate internal reporting, data validation, back-testing and analytical workflows to reduce manual effort and error risk.
Develop and maintain dashboards and reports primarily using Tableau. Support BI solutions using Power BI or SAP Business Objects where applicable. Translate analytical outputs and engineered datasets into intuitive, consumable visualizations. Publish, manage and support BI assets and Data sources for internal users. Ensure BI solutions align with underlying data models and engineering best practices.
Collaborate with BI and IT teams to support BI platform administration as needed (Tableau Cloud, Power BI Service, SAP Business Objects). Maintain internal data security, access controls and governance standards. Work cross-functionally with Product, BI and Engineering teams to deliver reliable internal analytics solutions.
Current work authorization for Canada is required for all openings.
A competitive annual range of $120,000 to $150,000, based on your experience and qualifications.
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.
We 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.
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.
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.
Fidelity Canada has become an employer of choice for talented people seeking rewarding career opportunities in the financial services industry. We look to hire outstanding individuals who want to maximize their potential and be challenged in all aspects of their professional careers. To help our employees excel in their roles at Fidelity, we provide everyone here with the best training, resources and support possible throughout their careers. With our help, there’s no limit to what you can accomplish here. We’re excited you’re considering Fidelity for your career plans.
Fidelity respects the privacy of your information.