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Data Analyst Intern 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 ...

This position will involve aiding the researchers in our lab with conducting studies, analyzing data, and facilitating lab work. Work may include but is not limited to following a protocol to run a ...

Data Analyst Intern information

See Saskatchewan salary details

$5

$19

$26

How much do data analyst intern jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for data analyst intern in Saskatchewan is $19.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $20.19 per hour, depending on experience, location, and employer.

What types of projects and tasks can a Data Analyst Intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

What is the difference between Data Analyst Intern vs Data Scientist Intern?

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

What does a Data Analyst Intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.
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 job categories do people searching Data Analyst Intern jobs in Saskatchewan look for? The top searched job categories for Data Analyst Intern jobs in Saskatchewan are:
What cities in Saskatchewan are hiring for Data Analyst Intern jobs? Cities in Saskatchewan with the most Data Analyst Intern job openings:
Infographic showing various Data Analyst Intern job openings in Saskatchewan as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $40,402 per year, or $19.4 per hour.

Full-time

Posted 14 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?ย 
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?ย 
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 Informationย 
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.ย 
Apply today!ย 
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.