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Data Analysis Assistant Jobs in Ontario (NOW HIRING)

Cna

Senior Data Analytics Consultant

Toronto, ON · On-site

CA$90K - CA$105K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Perform detailed exposure analysis at account and location levels, including loss attribution and ...

NorthLake Financial ULC

Financial Data Analyst

Barrie, ON · On-site

CA$50K/yr

These tools are used to assist, and not replace, human decision-making. All applicants must be legally eligible to work in Canada. Proof of eligibility will be required upon hire. Data analysis, SQL ...

Ellisdon

Data Analyst

Mississauga, ON

CA$75K - CA$90K/yr

Leverage your: knowledge of statistical/mathematical methods; expertise with data analysis tools ... EllisDon uses AI tools to assist in screening and assessing applicants for this position.

City of Toronto

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

To provide technical support and assist in data cleaning, manipulation, analysis and visualization on data to deliver insights and contribute to evidence informed decision making and solutions. Major ...

Ci

Data Analyst

Toronto, ON · On-site

CA$55K - CA$95K/yr

The ideal candidate will have a strong background in both data analysis and business processes ... * Assist in building reports, dashboards, and analytics tools to monitor key metrics and trends.

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Data Analysis Assistant information

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

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

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

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

What are some common challenges faced by data analysis assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
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 Assistant jobs in Ontario? For Data Analysis Assistant jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Analysis Assistant jobs in Ontario look for? The top searched job categories for Data Analysis Assistant jobs in Ontario are:
What cities in Ontario are hiring for Data Analysis Assistant jobs? Cities in Ontario with the most Data Analysis Assistant job openings:
Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in Ontario as of August 2026, with employment types broken down into 67% Full Time, 11% Part Time, and 22% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

MFL Robotics Data Analysis Manager (Toronto)

Poly Services Group

Toronto, ON • On-site

Other

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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