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Data Analysis Manager Jobs in Ontario (NOW HIRING)

Dumas

Corporate FP&A Manager

Toronto, ON · Hybrid

CA$110K - CA$150K/yr

The Corporate FP&A Manager willgenerate the strategic business intelligence needed to support Company data-driven decision making. The position involves the establishment or extraction of reliable ...

Scotiabank

Data Analyst

Toronto, ON

... Data Management, Data Analysis, Data Quality, and Data Governance services across the organization. Role * We are seeking a Data Analyst to support business operations through data analysis ...

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Data Analysis Manager information

See Ontario salary details

$20K

$87K

$146.5K

How much do data analysis manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analysis manager in Ontario is $87,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $110,500.00 per year, depending on experience, location, and employer.

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 Ontario? The most popular types of Data Analysis jobs in Ontario are:
What are popular job titles related to Data Analysis Manager jobs in Ontario? For Data Analysis Manager jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Analysis Manager jobs in Ontario look for? The top searched job categories for Data Analysis Manager jobs in Ontario are:
What cities in Ontario are hiring for Data Analysis Manager jobs? Cities in Ontario with the most Data Analysis Manager job openings:
Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in Ontario as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $87,044 per year, or $41.8 per hour.

MFL Robotics Data Analysis Manager (Toronto)

Poly Services Group

Toronto, ON

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago

Job description

Job Description As a fast-growing global company offering inspection, industrial and environmental services to the energy industry, our client develops their own high-tech equipment and software and use this technology to execute projects worldwide. They support the energy industry to use natural resources efficiently, safely, and responsibly. Together they get the job done and contribute to a safer and more sustainable world.

Our client is growing and looking for people who have the right stuff to join their Unique Ability Teams. The engineering teams are centered around identifying individual strengths, constant learning, and development of skills, and fostering an open and collaborative work environment Job Overview Our client is seeking an MFL Robotics Data Analysis Manager with relevant experience to become a member of the dynamic Unique Ability Team. The ideal candidate has a solid analytical aptitude, loves a technical challenge, is self-motivated yet thrives in a team environment.

Responsibilities Manage the MFL (magnetic flux leakage) Robotics data analysis group's day-to-day operations. Perform Run Acceptance and ensure deliverables are meeting client requirements and timelines. Establish priorities and deadlines for the team to ensure client report deliverables are delivered on time.

Maintain quality control of all deliverables including performing QA/QC validation checks and approval when necessary. Interpret corrosion (axial MFL), crack (circumferential MFL), geometry (GEO),video, and inertial mapping pipeline inspection data recorded by the Intero robotic inspection tool. Correlate analysis results to inspection data from previous inspections and/or verification digs.

Assist in development and improvement of wall loss algorithms used for interpretation and prediction in corrosion sizing. Organize and develop Final Reports of inspection results to meet customer requirements. Communicate with clients in person, over the phone, and/or via email.

Convey analysis findings and provide support for excavations and measurement results. Manage talent development of team, including annual performance evaluations and goal setting for department. Plan both short term and long term capacity management and resourcing needs for department.

Assist with the development and maintenance of online and in-person training materials and records to meet API 1163 and ANSI/ASNT ILI-PQ-2005 requirements. Experience and Qualifications Degree or diploma in a related field; or equivalent experience ANSI/ASNT ILI-PQ-2005 Level 3 MFL/GEO Analyst 10+ years equivalent data analysis Management/supervisory experience Strong understanding of industry codes and standards Additional Skills Self-driven capacity to produce quality work with minimal supervision Strong computer skills including Microsoft word, excel and access Capacity to complete a task entirely, on schedule and with quality Strong analytical and interpretive skills Self-regulated with a strong sense of pride in one's work Proud to offer Employees: Competitive wages and a bonus system based on company performance. Engaging company culture that encourages teamwork and rewards both team and individual achievement.

On-site gym with shower facilities. Health & wellness program with broad healthcare benefits coverage (including dental & vision), flexible working hours and paid time off.

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