Data Analyst - 1 FT
Saskatoon, SK · On-site
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?
Data Analyst - 1 FT
Saskatoon, SK · On-site
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?
... the Data Protection Analyst is responsible for the preparation of Privacy Impact Assessments, remediation of privacy and data breaches, and providing support for the Firm's privacy and data ...
... the Data Protection Analyst is responsible for the preparation of Privacy Impact Assessments, remediation of privacy and data breaches, and providing support for the Firm's privacy and data ...
... the Data Protection Analyst is responsible for the preparation of Privacy Impact Assessments, remediation of privacy and data breaches, and providing support for the Firm's privacy and data ...
... the Data Protection Analyst is responsible for the preparation of Privacy Impact Assessments, remediation of privacy and data breaches, and providing support for the Firm's privacy and data ...
Supports the collection, analysis, and reporting of operational, registration, financial, and service-related data to identify trends, inform decision-making, and support continuous improvement ...
Supports the collection, analysis, and reporting of operational, registration, financial, and service-related data to identify trends, inform decision-making, and support continuous improvement ...
Supports the collection, analysis, and reporting of operational, registration, financial, and service-related data to identify trends, inform decision-making, and support continuous improvement ...
Supports the collection, analysis, and reporting of operational, registration, financial, and service-related data to identify trends, inform decision-making, and support continuous improvement ...
Surevy & Data Officer
Saskatoon, SK · On-site
General AccountabilityThe 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 ...
Quick apply
Surevy & Data Officer
Saskatoon, SK · On-site
General AccountabilityThe 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 ...
Survey & Data Officer
Saskatoon, SK · On-site
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 ...
Survey & Data Officer
Saskatoon, SK · On-site
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
$12.26 - $16.59
5% of jobs
$16.59 - $20.91
9% of jobs
$24.24 is the 25th percentile. Wages below this are outliers.
$20.91 - $25.24
14% of jobs
$25.24 - $29.57
16% of jobs
The median wage is $31.30 / hr.
$29.57 - $33.89
16% of jobs
$33.89 - $38.22
14% of jobs
$39.09 is the 75th percentile. Wages above this are outliers.
$38.22 - $42.55
10% of jobs
$42.55 - $46.88
7% of jobs
$46.88 - $51.20
4% of jobs
$51.20 - $55.53
3% of jobs
$55.53 - $59.86
2% of jobs
$12
$34
$59
How much do data analyst jobs pay per hour?
As of Aug 29, 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 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.
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 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.
What is the difference between Data Analyst vs Data Scientist?
| Aspect | Data Analyst | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in statistics, mathematics, or related field; often certifications in data analysis tools | Bachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees |
| Work Environment | Business settings, focusing on data reporting and visualization | Research and development environments, focusing on predictive modeling and complex algorithms |
| Employer & Industry Usage | Retail, finance, healthcare, and marketing companies | Tech 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.
Do data analysts get paid well?
Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.
Is it hard to get a data analyst job?
Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.
What work does a data analyst do?
A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
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 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:
Full-time
Re-posted 16 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.
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.
To be employed with SIGA, you must meet the following criteria:
Additional Information - 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
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.
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.