30 Jul
|
Fidelity Investments
|
Toronto
30 Jul
Fidelity Investments
Toronto
Description You will be working on a flexible hybrid schedule as part of Fidelitys 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, weve 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 were 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 youll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day.
Youll have a wide range of opportunities to grow and develop your career in an inclusive environment where youll feel valued and supported to be your best - both personally and professionally.
How Youll Make an Impact 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. BI Enablement & Visualization 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.
Platform, Security & Collaboration 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.
What Were Looking For University degree in Computer Science, Engineering, or equivalent practical experience. 5 years of experience in Data Engineering, BI Analytics or a closely related role.
Robust proficiency in Python for data engineering, automation and analytics.
Strong hands-on experience with Snowflake, including data modeling, SQL development and performance optimization.
Advanced SQL skills and experience working with relational and cloud-based data platforms.
Experience building internal data pipelines, automation, or analytics tools.
Experience with Tableau (preferred).
The Expertise You Bring Understanding of how BI tools consume and interact with engineered data models.
Experience with Power BI and/or SAP Business Objects is acceptable.
Ability to translate business problems into scalable Data and automation solutions.
Experience modernizing spreadsheet-driven processes into robust Data workflows.
Strong understanding of Data modeling and performance optimization principles.
Experience using Git or similar version control systems.
Understanding of internal data governance, security and access management.
Strong communication skills and ability to work with technical and non-technical stakeholders.
Nice to Have Experience supporting analytics for financial products or capital markets.
Exposure to BI platform administration (Tableau Cloud, Power BI Service, SAP BO).
Experience with Informatica Cloud (e.g., data integration, data quality or pipeline orchestration).
Experience with orchestration, scheduling, or workflow automation tools.
Familiarity with cloud platforms such as AWS (e.g., S3, IAM, Lambda, or related services).
Current work authorization for Canada is required for all openings.
Total Rewards That Reflect Your Impact We believe exceptional work deserves exceptional recognition.
Thats why we offer a competitive compensation package designed to support your success todayand your financial well-being tomorrow.
For this role, your total rewards include: Base Salary and Discretionary Performance Bonus: A competitive annual range of $120,000 to $150,000, based on your experience and qualifications. RRSP Contribution: After 6 months of employment, we invest in your future with an RRSP contributionno employee matching required.
Were proud to offer a compensation package that aligns with provincial pay transparency requirements .
This posting represents an existing vacancy within our organizationan opportunity to step into a role where your talents will make a meaningful difference.
We use AI-enabled Linked
In 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 Linked
In 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.
Some of the ways well 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 $5000 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 care a lot about fostering a compassionate, people-centric culture, and are proud to have been named one of Canadas Top 100 employers for the last five years.
📌 Senior Technical Analyst, Data Engineering and Business Intelligence (Toronto)
🏢 Fidelity Investments
📍 Toronto