1

Data Analysis Manager Jobs in Toronto, ON (NOW HIRING)

Data Analyst

Toronto, ON ยท Hybrid

  • Medical

  • Dental

  • Vision

Financial and Data Analysis: Conduct financial performance evaluations, revenue forecasting, and ... Manage and execute hands-on configurations within CRM and other operational systems to support ...

Manager, FP&A HEALWELL AI is a healthcare technology company focused on AI and data science for preventative care. The company's mission is to improve healthcare and save lives through early ...

Manager, FP&A HEALWELL AI is a healthcare technology company focused on AI and data science for preventative care. The company's mission is to improve healthcare and save lives through early ...

Knowledge, Skills and Experience 7+ years of experience in data management, business systems, data governance, business analysis, or related roles. Post-secondary education in Business, Information ...

... data analysis and data manipulation when needed. - Provide ad hoc reporting to the Planning ... Relationship Management and Collaboration (20%) - Develop a strong collaboration with the corporate ...

... data analysis and data manipulation when needed. - Provide ad hoc reporting to the Planning ... Relationship Management and Collaboration (20%) - Develop a strong collaboration with the corporate ...

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

Showing results 21-40

Data Analysis Manager information

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Toronto, ON?

The most popular types of Data Analysis jobs in Toronto, ON are:

What job categories do people searching Data Analysis Manager jobs in Toronto, ON look for?

The top searched job categories for Data Analysis Manager jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Analysis Manager jobs?

Cities near Toronto, ON with the most Data Analysis Manager job openings:

Infographic showing various Data Analysis Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Financial Planning and Analysis (FP&A) Manager

Banyan Software

Toronto, ON โ€ข On-site

Full-time

Posted 22 days ago


Job description

About the Role

Banyan Software is seeking a hands-on, forward-thinking Manager, FP&A to help build the next generation of our financial planning and analysis capabilities. This is a role for someone energized by the opportunity to shape how AI and automation transform the way financial insights are created, communicated, and operationalized across a rapidly expanding, global, and decentralized portfolio.

Reporting into FP&A leadership, you will combine strong analytical rigor with a builder's mindset-rolling up your sleeves to design scalable processes and modern tooling while helping translate complex financial signals into actionable insights. The ideal candidate is excited about the future of finance and wants to be at the forefront of using AI to make FP&A faster, smarter, and more impactful.

Key Responsibilities:

Planning, Budgeting & Forecasting

  • Support the end-to-end budget and forecasting process, ensuring it is efficient, transparent, and aligned with organizational priorities.
  • Build and enhance forecasting models, including scenario planning and sensitivity analyses, to improve accuracy, speed, and decision quality.
  • Help maintain a consistent planning cadence across decentralized Operating Groups while preserving local ownership.

AI, Automation & Systems

  • Identify and implement opportunities to automate recurring reporting, forecasting, and analytical workflows using AI and modern tooling.
  • Leverage NetSuite and connected BI tools to strengthen data integrity, streamline workflows, and reduce manual effort.
  • Partner with technology teams and vendors to pilot and scale AI-driven forecasting and reporting capabilities.
  • Help establish and enforce standards for data consistency, KPI definitions, and reporting hygiene across the portfolio.

Reporting & Analytics

  • Prepare clear, timely, and actionable management reporting across customer, product, and market dimensions.
  • Deepen visibility into unit economics, retention, profitability, and other key performance drivers.
  • Deliver forward-looking analysis that surfaces trends, risks, and opportunities to enable faster, more informed decisions.

Business Partnership

  • Build trusted relationships with Operating Group leaders and HQ stakeholders, translating financial data into insights that drive performance.

Qualification for Success:

  • Bachelor's degree in Finance, Accounting, Economics, or a related field; CFA, CPA, or MBA a plus.
  • 4+ years of progressive FP&A experience, ideally in high-growth and/or multi-entity software environments.
  • Demonstrated interest in and experience with AI tools, automation, or BI platforms to improve financial processes.
  • Excellent financial modeling, analytical, and communication skills.
  • A self-starter who thrives in a decentralized environment and can dive into complexity while driving practical outcomes.