1

Data Analyst In Canada Jobs (NOW HIRING)

... in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking for a big data analyst that can generate clear and insightful analyses on the ...

... in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd ... Analysis of data to find patterns * Development of applications for data gathering and analysis

Required Skills & Experience * 8+ years of experience as a Data Analyst in Banking and Financial Services . * Strong hands-on experience with SQL and Data Warehousing . * Experience with Commercial ...

Medicaid Data Analyst

Columbia, SC · On-site

$27 - $32/hr

The Medicaid Data Analyst will be responsible for conducting data analysis on program-specific and ... With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants ...

Responsibilities : • Guide analytics beyond presentation to clarify trends, tradeoffs, and implications for action. • Create tools and dashboards that present data in a clear and compelling way ...

Company Description Client is one of the largest independent banks headquartered in California ... Conduct data analysis, data integration, and data management * Identify and develop new data ...

Key Responsibilities 1. Data Product Ownership & Quality Assurance * Own analytics-ready datasets ... or Canada(Toronto) Qualifications Required Qualifications * Bachelor's degree in Analytics ...

Data Analyst

Washington, DC · On-site

$61 - $68/hr

Candidate must have a minimum of 10 years overall in Data Analyst experience. The role of the Data Analyst is to provide data analysis support for the Office of the Chief Information Officer, which ...

next page

Showing results 1-20

Data Analyst In Canada information

See salary details

$34K

$82.6K

$136K

How much do data analyst in canada jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data analyst in canada in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst In Canada vs Data Scientist In Canada?

AspectData Analyst In CanadaData Scientist In Canada
Required CredentialsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel, SQLBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentBusiness, finance, marketing departments; focus on data reporting and visualizationTech firms, research labs; focus on predictive modeling and advanced analytics
Employer & Industry UsageCommon in corporate settings across various industriesMore prevalent in tech, finance, and research sectors

While both roles analyze data, Data Analysts in Canada primarily focus on interpreting data for business insights using tools like Excel and SQL. Data Scientists in Canada handle complex models and machine learning, often requiring advanced degrees and programming skills. The roles overlap in data handling but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a Data Analyst in Canada, and why are they important?

To thrive as a Data Analyst in Canada, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with data analysis tools like SQL, Excel, Python, R, and visualization platforms such as Tableau or Power BI, along with certifications like Microsoft Certified: Data Analyst Associate, is highly valuable. Attention to detail, problem-solving abilities, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for making data-driven decisions that support business growth and efficiency in a competitive market.

What is a Data Analyst in Canada?

A Data Analyst in Canada is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use statistical techniques and data visualization tools to interpret data trends and communicate insights to stakeholders. Data Analysts often work in various industries such as finance, healthcare, retail, and government. Their responsibilities typically include data cleaning, creating reports, and supporting business strategies with data-driven recommendations.

What are some common collaborative projects a Data Analyst in Canada might work on with other departments?

As a Data Analyst in Canada, you will frequently collaborate with teams such as marketing, finance, and IT. For example, you might work with marketing to analyze customer data and optimize campaign strategies or assist finance with budgeting and forecasting models. These collaborative projects often involve gathering requirements, sharing insights, and presenting findings to both technical and non-technical stakeholders. Effective communication and teamwork are essential, as your analyses will often guide key business decisions across different departments.
What cities are hiring for Data Analyst In Canada jobs? Cities with the most Data Analyst In Canada job openings:
Infographic showing various Data Analyst In Canada job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 46% Full Time, and 52% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst in Reston VA

Data Analyst in Reston VA

Hexaware Technologies, Inc

Reston, VA • On-site

Other

Posted 7 days ago


Job description

Data Analyst
Reston VA
 

Must have strong experience in Data Analysis in an enterprise DWH environment.

Advanced knowledge in SQL writing is required

Strong analyst background in data-oriented applications

Must have experience working in large, fast paced Agile projects.

Knowledge of Mortgage Industry – must be able to understand mortgage data.