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Data Analyst Jobs in Saskatchewan (NOW HIRING)

As a BI & Data Analyst , you will play a crucial role in extracting actionable insights from large datasets to drive informed business decisions, aiming to support the EMEA organization. Leveraging ...

General Accountability The Survey & Data Officer will work closely with the Data Analyst Manager and First Nation networks, government, and other stakeholders to help ensure the goals and objectives ...

Data Analyst information

See Saskatchewan salary details

$12

$34

$59

How much do data analyst jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data analyst in Saskatchewan is $34.15, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $40.87 per hour, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Saskatchewan? The most popular types of Data Analyst jobs in Saskatchewan are:
What are popular job titles related to Data Analyst jobs in Saskatchewan? For Data Analyst jobs in Saskatchewan, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Saskatchewan look for? The top searched job categories for Data Analyst jobs in Saskatchewan are:
What cities in Saskatchewan are hiring for Data Analyst jobs? Cities in Saskatchewan with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Saskatchewan as of July 2026, with employment types broken down into 70% Full Time, 6% Part Time, and 24% Contract. Highlights an 59% Physical, 4% Hybrid, and 37% Remote job distribution, with an average salary of $71,034 per year, or $34.2 per hour.

Full-time

Posted 13 days ago


Job description

This position will analyze, manage, customize, and optimize SIGA's Customer Relationship Management (CRM) system. The Data Analyst will collaborate with various departments to ensure the CRM system aligns with business goals, enhances customer interactions, and contributes to the organization's success.

Why SIGA? 
SIGA is a First Nation employer of choice in the province, with a focus on quality of life and an inclusive work environment that embodies a strong sense of belonging for employees. As a non-profit, 100% of our net income goes back to our communities. Since our inception more than 30 years ago, SIGA has returned $1.9 billion back to our beneficiaries.
For the third consecutive year, SIGA is proud to be named a Saskatchewan Top Employer by Canada's Top 100 Employers. Now in its 21st year, Saskatchewan's Top Employers is a special designation that recognizes employers that lead their industries in offering exceptional places to work.

Work Eligibility? 
To be employed with SIGA, you must meet the following criteria:
  • At least 19 years of age
  • Ability to obtain and maintain a Gaming Employee Certificate of Registration from the Saskatchewan Liquor Gaming Authority / Indigenous Gaming Regulators
  • You must be legally entitled to work in Canada
Additional Information 
We thank all applicants for their interest; however, only those selected for an interview will be contacted.
For more information regarding this competition, or if you require an accommodation or support, please contact the Talent Acquisition Team at talentacquisition@siga.sk.ca
Applicants should note that SIGA does not currently participate in the Saskatchewan Immigrant Nominee Program (SINP) for this type of position and will not support a SINP Job Approval. 
Apply today! 
Once employed with SIGA there are many opportunities for learning, growth and advancement throughout the company. We take great pride in being a preferred employer and aspire to attract the very best and very brightest to become part of our family. We look forward to reviewing your application.

Bachelor's degree with a major in Statistics, Data Science, or other related field; an equivalent combination of training and experience may be considered. Minimum of 3 years' experience in statistical database software; including collecting, retrieving, and maintaining data, interpreting real-world statistical data, and anticipating upcoming challenges. Strong ability to work with structured query language (SQL). Proficiency in Microsoft 365 (Word, Excel, Outlook, PowerPoint, OneDrive, and Teams). Ability to create reports/dashboards with large data sets for business intelligence needs.

Analyzing gaming (Slots, Live Games, iGaming), and Food & Beverage to identify trends and insights to help evaluate the effectiveness of sales and growth initiatives. Manage projects and collaborate with other business units while ensuring an agile and collective approach. Assist in defining data requirements while ensuring data integrity and recommend methodology and technology to facilitate data collection. Provide analytical support and reporting for SIGA's various lines of business and maintain the integrity and relevance of internal databases. Work closely with IT to ensure a steady provision of data to Marketing and, where necessary, other operational areas. Participate in other projects and activities as required, in support of SIGA's priorities.