$170,000–200,000/year · BaseAnnual period assumed — pay source
Compensation Information:
Base salary range: $170,000 - $200,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
BigQuery
Databricks
dbt
Snowflake
Where the posting names them
Prior experience in financial services, brokerage, digital banking, or high-growth tech environments.
Practical scripting ability in Python for exploratory analysis, statistical modeling, or automation.
Compensation Information:
Advanced Analytical Delivery & Experimentation: Personally lead hands-on, high-complexity analyses and zero-to-one analytical deep dives; partner with Data Science to design sound experimental frameworks, test hypotheses, and isolate drivers of business performance.
Data Rigor & Engineering Collaboration: Write, maintain, and review production-grade SQL and dbt models within modern cloud platforms (BigQuery, Databricks, or Snowflake), championing analytical quality, modular data structures, and reproducibility across the team.
Executive Storytelling & Decision Enablement: Synthesize complex exploratory data, commercial models, and statistical findings into concise, actionable executive presentations and decision memos that guide strategic choices and drive measurable business impact.
10+ years of progressive experience in analytics, business intelligence, or strategic data leadership roles, with a demonstrable track record of insights directly driving marketing or product decisions.
Advanced, hands-on SQL and dbt expertise working directly in cloud data platforms (BigQuery, Databricks, or Snowflake).
Solid practical foundation in statistical analysis, hypothesis testing, and A/B/n experimentation design.
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
What’s in it for you as an employee of QFG?
Health & wellbeing resources and programs
Paid vacation, personal, and sick days for work-life balance
Competitive compensation and benefits packages
Work-life balance in a hybrid environment with at least 3 days in office
Career growth and development opportunities
Opportunities to contribute to community causes
Work with diverse team members in an inclusive and collaborative environment
This job posting is for an existing vacancy.
We’re looking for our next Senior Manager, Analytics & Insights. Could It Be You?
This role will be responsible for:
The Senior Manager, Analytics & Insights defines and leads the analytics strategy for Marketing and Product at Questrade, reimagining how teams uncover insights, evaluate performance, and convert data into immediate action. Leading a lean, high-performing team of analysts while remaining deeply hands-on with complex data challenges, this role establishes enterprise measurement standards and drives adoption of AI-native self-serve capabilities to eliminate ad hoc bottlenecks. In close collaboration with Product, Marketing, Data Science, and Analytics Engineering, this leader elevates analytical rigor and transforms ambiguous business questions into clear, decisive choices for senior leadership.
Need more details? Keep reading…
In this role, responsibilities include but are not limited to:
Analytics Strategy & Product/Marketing Alignment: Define and own the multi-year analytics and insights strategy for Marketing and Product, aligning analytical roadmaps with key business priorities to proactively identify commercial opportunities across the end-to-end client journey.
Business Measurement & Metric Governance: Own the definitions and business logic for core marketing, product, and client engagement metrics, implemented in the semantic layer with Analytics Engineering, so performance is measured accurately and consistently in all forums.
Self-Serve Analytics & AI Transformation: Partner closely with Analytics Engineering to design, deploy, and scale intuitive, AI-native self-serve analytics ecosystems (leveraging tools such as Hex, Omni, and coding agents), empowering business stakeholders to reliably answer everyday questions and eliminating low-value ad hoc requests.
Advanced Analytical Delivery & Experimentation: Personally lead hands-on, high-complexity analyses and zero-to-one analytical deep dives; partner with Data Science to design sound experimental frameworks, test hypotheses, and isolate drivers of business performance.
Data Rigor & Engineering Collaboration: Write, maintain, and review production-grade SQL and dbt models within modern cloud platforms (BigQuery, Databricks, or Snowflake), championing analytical quality, modular data structures, and reproducibility across the team.
Executive Storytelling & Decision Enablement: Synthesize complex exploratory data, commercial models, and statistical findings into concise, actionable executive presentations and decision memos that guide strategic choices and drive measurable business impact.
Team Leadership & Analytical Capability Building: Lead, mentor, and grow a high-performing team of analytics professionals, instilling rigorous standards for business curiosity, critical thinking, validation of AI-generated work, and impactful stakeholder communication.
So are YOU our next Senior Manager, Analytics and Insights? You are if you have…
Bachelor’s degree in Business, Economics, Statistics, Mathematics, Computer Science, Data Science, or equivalent practical experience.
10+ years of progressive experience in analytics, business intelligence, or strategic data leadership roles, with a demonstrable track record of insights directly driving marketing or product decisions.
Advanced, hands-on SQL and dbt expertise working directly in cloud data platforms (BigQuery, Databricks, or Snowflake).
Solid practical foundation in statistical analysis, hypothesis testing, and A/B/n experimentation design.
Proven ability to synthesize complex quantitative analyses into clear, one-page decision memos and executive presentations that influence senior stakeholders.
Demonstrated success leading, coaching, and developing a team of data analysts while remaining hands-on with data and analysis.
Demonstrated fluency with AI tools in day-to-day analytical workflows, with sound judgment in validating AI-generated work.
Additional kudos if you…
Regular hands-on experience using AI coding agents (such as Claude Code) to accelerate analytical workflows, paired with modern collaborative BI platforms (such as Hex or Omni).
Track record of starting an analytics practice from scratch, establishing new partnership models, or building self-serve capabilities that significantly reduced recurring ad hoc requests.
Prior experience in financial services, brokerage, digital banking, or high-growth tech environments.
Practical scripting ability in Python for exploratory analysis, statistical modeling, or automation.
Compensation Information:
Base salary range: $170,000 - $200,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
Sounds like you? Click below to apply!
#LI-RJ1
#LI-Hybrid
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay
Compensation Information:
Base salary range: $170,000 - $200,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
Location & working pattern
5700 Yonge St, North York, ON M2M 4K2, Canada
Competitive compensation and benefits packages
Work-life balance in a hybrid environment with at least 3 days in office
Career growth and development opportunities
More source context
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
Sounds like you? Click below to apply! #LI-RJ1 #LI-Hybrid
Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.