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Added 11 mins ago
HT
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- Full-time
…attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive…
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CP
Analyst, Strategy and Partner Engagement
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Toronto, ON · Greater Toronto Area, Canada
- $70,723 to $95,683 CAD / year
- Contract
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Added 12 mins ago
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Quality Assurance Analyst II, Payments
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- Full-time
- Other
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RQ11611 – Business Analyst – Senior
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RQ11611 – Business Analyst – Senior
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RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
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RQ11714 – Business Analyst – Senior
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RQ11714 – Business Analyst – Senior
S M Software Solutions Inc
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RQ11518 – Business Analyst – Senior
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Scotiabank

Senior Manager, Analytics and BI

Toronto, ON, M5H 1H1, Canada

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Job details

Apply by: Oct 24, 2026
Posting language: English
Posted: Aug 26, 2026

Original job description

Requisition ID: 271634

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role:

Reporting to the Director, Analytics and BI - Deposits & Investments within Canadian Banking, the Sr. Manager, Analytics and BI – Investments provides strategic analytical, modelling, and business intelligence support across the Canadian Investments business, including mutual funds and registered and non-registered plan products. The role delivers fact-based recommendations and strategic insights that support profitable customer growth, engagement, margin optimization, channel effectiveness, and stronger decision-making through modelling, forecasting, segmentation, and performance measurement. The incumbent requires strong financial and business acumen, a demonstrated passion for financial services, and the ability to work effectively with cross-functional partners while building collaborative, results-driven teams.

The incumbent will identify opportunities and recommend solutions that strengthen customer growth, engagement, profitability, pricing effectiveness, and overall business performance. The role will also support executive and external stakeholder materials, including analyst presentations, quarterly analyst call preparation, and board strategy materials.

Is this role right for you? - In this role you will:

The Sr. Manager, Analytics and BI – Investments will work closely with the Investments business and key partner teams to develop business cases, campaign measurement, portfolio analytics, standardized reporting, and BI solutions. This role requires a dynamic and engaging leader who can provide strategic insight and actionable recommendations on both regular and ad-hoc requests while sustaining a motivated, high-performing, and team-oriented work environment.

Key Responsibilities

Provide strategic analytics and business intelligence support to the Retail Investments team by helping business partners grow the customer base, optimize product mix, improve customer primacy, and identify opportunities across acquisition, retention, balance growth, cross-sell, up-sell, product activation, usage, and client-level pricing.
Partner with Investments, Marketing, Campaign Design, Customer Decisioning, Product, Pricing Optimization, Finance, Treasury, Advanced Analytics, and channel teams to shape initiatives, develop segmentation strategies, size opportunities, build business cases, and recommend actions that balance customer experience, revenue growth, budget efficiency, margin optimization, and overall P&L impact.
Provide strategic support for campaign initiatives by evaluating new ideas, developing pro-forma assumptions, supporting go/no-go recommendations, measuring performance against plan, and applying learnings to improve future targeting, engagement, acquisition, and retention strategies.
Lead portfolio, pricing, targeting, and performance analytics using advanced analytical methods to identify trends, key statistics, risks, opportunities, and profit drivers across the Investment portfolio.
Lead the development, validation, interpretation, and application of analytical models, including customer segmentation, propensity, forecasting, profitability, balance growth, pricing sensitivity, campaign response, and scenario models, to quantify opportunities, evaluate trade-offs, and support strategic investment business decisions.
Lead the standardization, automation, and continuous improvement of recurring reports, dashboards, scorecards, and performance measurement frameworks, using Power BI and other BI tools to improve consistency, scalability, self-serve access, and senior management decision-making.
Communicate strategic and operational results clearly and in a timely manner, translating complex analytical findings into recommendations, outlooks, projections, and senior-management-ready insights.
Manage and prioritize multiple business initiatives, projects, ad-hoc analyses, and stakeholder requests while building trusted relationships with internal partners and external consultants.
Proactively acquire and apply knowledge of business and product strategies, competitive practices, market insights, policies, technical processes, emerging tools, and analytical methodologies to recommend practical solutions and improve team effectiveness.
Drive adoption of modern analytics platforms, cloud capabilities, reporting migration, and process improvements to enhance efficiency, reporting quality, scalability, and speed of delivery.
Lead practical AI adoption across analytics and BI processes to improve the speed, quality, consistency, and scalability of insight generation while promoting responsible use, knowledge sharing, and measurable business impact.
Champion a customer-focused culture that deepens client relationships and leverages broader Bank relationships, systems, and knowledge.
Understand and apply the Bank’s risk appetite and risk culture in day-to-day activities and decisions.

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

Bachelor’s degree in computer science, Finance, Economics, Business Administration, Engineering, Statistics, or a related discipline; MBA, CFA, FRM, or master’s degree in Analytics is preferred.
Extensive analytics, business intelligence, and decision-support experience within financial services, with strong business and financial acumen and a solid understanding of portfolio optimization, P&L levers, profit drivers, KPIs, growth initiatives, and performance measurement.
Demonstrated ability to provide strategic analytical support across partner functions, including campaign, product, pricing, finance, customer growth, sales channel, and investment business teams, to shape strategy, size opportunities, evaluate outcomes, and recommend practical actions.
Strong business intelligence skills, including the ability to design and maintain standardized reports, dashboards, scorecards, and performance measurement frameworks for senior leadership and business decision-making.
Proficiency with analytical and BI tools and platforms, including cloud computing, BigQuery, SQL, Python, R, SAS, Excel, Power BI, and equivalent reporting tools.
Strong hands-on experience developing, validating, interpreting, and explaining analytical models using SQL, Python, R, SAS, or similar tools, with the ability to translate model outputs into clear business recommendations for senior stakeholders.
Proven ability to extract, interpret, and translate complex data into meaningful, actionable business insights quickly, accurately, and effectively.
Proactive mindset with the ability to anticipate business needs, identify emerging risks and opportunities, challenge existing approaches, and recommend practical solutions that improve business outcomes and team effectiveness.
Strong commitment to adopting new tools, technologies, automation, and process improvements to increase efficiency, scalability, reporting consistency, and timeliness of analytics and BI delivery.
Demonstrated capability to identify, evaluate, and apply practical AI use cases within analytics and BI workflows to accelerate insight generation, automate repeatable tasks, and support responsible adoption across teams.
Exceptional oral, written, and presentation skills, with the ability to communicate technical concepts clearly to business partners, senior stakeholders, and broad audiences.
Strong prioritization, planning, project management, relationship-building, and people leadership skills, with the ability to manage multiple concurrent requests, lead analytics and BI teams, and foster a collaborative, high-performance environment.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employees to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, Humans of Digital and much more!

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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More about this job

Responsibilities

The Senior Manager provides strategic analytical, modeling, and business intelligence support to optimize product performance and customer growth within the Canadian Investments business. They lead the development of analytical models, standardized reporting, and cross-functional initiatives to drive profitability and informed decision-making.

Requirements

Candidates must possess a bachelor's degree in a quantitative field and extensive experience in analytics and business intelligence within the financial services sector. Proficiency in analytical tools such as SQL, Python, R, or SAS, along with strong leadership and communication skills, is required.

Skills

Business intelligence
Data modeling
Financial analysis
Strategic planning
Portfolio analytics
SQL
Python
R
SAS
Power BI
Cloud computing
BigQuery
Performance measurement
Project management
Leadership
Communication

Benefits

Bonus
Flexible vacation
Personal days
Sick days
Tuition assistance
Employee resource groups
Community engagement programs

Visa sponsorship

Not detected in the job text

Keywords

Analytics
Business Intelligence
Financial Services
Portfolio Optimization
P&L
KPIs
Segmentation
Forecasting
Pricing Strategy
SQL
Python
R
SAS
Power BI
BigQuery
Cloud Computing
Artificial Intelligence
Automation
Dashboarding
Business Cases
Campaign Measurement
Customer Growth
Margin Optimization
Data Modeling
Financial Acumen
Strategic Insights
Performance Measurement
Risk Appetite
Stakeholder Management
Project Management

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