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Data Analysis Jobs in Saskatchewan (NOW HIRING)

In addition, they provide critical support with data analysis, reporting and data visualization. This work will enable us to deliver innovative solutions to our clients. This position requires ...

Data Modeler

Yorkton, SK ยท On-site +1

CA$90K - CA$114K/yr

Conducts research and analysis and provides recommendations for the design and delivery of theData ... Data Solution Design & Development * Partners with members of the Data Office team, specifically ...

Data Modeler

North Battleford, SK ยท On-site +1

CA$90K - CA$114K/yr

Conducts research and analysis and provides recommendations for the design and delivery of theData ... Data Solution Design & Development * Partners with members of the Data Office team, specifically ...

Data Modeler

Swift Current, SK ยท On-site +1

CA$90K - CA$114K/yr

Conducts research and analysis and provides recommendations for the design and delivery of theData ... Data Solution Design & Development * Partners with members of the Data Office team, specifically ...

Data Modeler

Tisdale, SK ยท On-site +1

CA$90K - CA$114K/yr

Conducts research and analysis and provides recommendations for the design and delivery of theData ... Data Solution Design & Development * Partners with members of the Data Office team, specifically ...

Data Modeler

Regina, SK ยท On-site +1

CA$90K - CA$114K/yr

Conducts research and analysis and provides recommendations for the design and delivery of theData ... Data Solution Design & Development * Partners with members of the Data Office team, specifically ...

Data Modeler

Moose Jaw, SK ยท On-site +1

CA$90K - CA$114K/yr

Conducts research and analysis and provides recommendations for the design and delivery of theData ... Data Solution Design & Development * Partners with members of the Data Office team, specifically ...

Data Modeler

Lloydminster, SK ยท On-site +1

CA$90K - CA$114K/yr

Conducts research and analysis and provides recommendations for the design and delivery of theData ... Data Solution Design & Development * Partners with members of the Data Office team, specifically ...

Data Modeler

Meadow Lake, SK ยท On-site +1

CA$90K - CA$114K/yr

Conducts research and analysis and provides recommendations for the design and delivery of theData ... Data Solution Design & Development * Partners with members of the Data Office team, specifically ...

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Showing results 1-20

Data Analysis information

See Saskatchewan salary details

$13

$27

$50

How much do data analysis jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for data analysis in Saskatchewan is $27.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $32.93 per hour, depending on experience, location, and employer.

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

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 statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.

What are some common challenges data analysts face when working with cross-functional teams?

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

What is the difference between Data Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What does a data analysis do?

A data analyst collects, processes, and interprets large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to present findings clearly and accurately. Strong analytical skills and attention to detail are essential for this role.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and data visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of job is a data analyst?

A data analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail. The role typically involves interpreting large datasets and presenting findings to stakeholders.

What are the most commonly searched types of Data Analysis jobs in Saskatchewan?

The most popular types of Data Analysis jobs in Saskatchewan are:

Infographic showing various Data Analysis job openings in Saskatchewan as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $56,407 per year, or $27.1 per hour.

Senior Manager, Data Analysis & Audit Productivity

KPMG

Saskatoon, SK โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canadaโ€™s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Your work matters. As part of our Audit & Assurance practice, youโ€™ll deliver highquality work that supports trust, transparency, and confidence across both public and private organizations. We foster an environment of high challenge, where curiosity and critical thinking are encouraged.ย  Through high support, including progressive learning, strong coaching, inclusive teamwork, and a shared commitment to integrity, we perform at our best โ€“ measuring what matters, recognizing impact, and continuously evolving to deliver excellence.ย  This creates a culture where the best work happens when high challenge and high support work together.ย  That balance is how our values show upโ€”in how we work, how we lead, and what we deliver.

We are looking for a Senior Manager of Data Analysis & Audit Productivity to join our Audit Center โ€“ Audit Technology and Transformation team.


What you will do
  • Leverage Databricks to design, build, and maintain scalable data pipelines, automate data processing, and support advanced reporting and analytics initiatives across the audit practice.
  • Utilize Microsoft Power Automate and PowerApps to develop workflow automation solutions, reducing manual effort, improving process consistency, and enhancing stakeholder experience.
  • Develop end-user dashboard solutions to aid our engagement teams in project managing their audits, and to assist leadership in their ability to centrally monitor audit progress nationally
  • Lead and manage the updates, maintenance, and support our audit teams with the use of our automated budget dashboard and milestone monitoring dashboard
  • Lead and manage the updates, maintenance, and support our national office with the use of mining data from a globally supported solution, KCw Data Mining
  • Coach, supervise and review the work of junior team members, including audit project coordinators, data analyst and the Central Data Support Team (includes data engineers, software developers and data scientists)
  • Lead the junior team members through design, build, testing, and deployment of new or updated solutions, ensuring quality and operational excellence, and sufficient documentation of testing results ย 
  • Proactively improve internal audit processes and leveraging automation, analytics, and AI tools to address them
  • Liaise with subject matter expertsโ€™ teams to identify the need for, and obtain access to information that supports our automated and centralized processes
  • Proactively contributes to the creation of presentation materials and quarterly reporting relating to data activities for stakeholder discussions (national and global).

What you bring to the role
  • Technical: 7+ years of experience
    • Post-secondary degree in computer engineering, mathematics, data science, or related disciplines
    • Intermediate proficiency in Microsoft Excel (specifically with Power Query and VBA) and Microsoft Power Platform (including PowerBI, Power Automate, and Power Apps)
    • Intermediate proficiency working with databases
    • Intermediate proficiency in Python (or similar scripting languages) for data processing, automation, and analytical workflows
    • Experience with QA testing, including ability to create test plans, test cases, execute test cycles, etc.
    • Exposure to AI agent tools and generative AI capabilities, such as Copilot Studio, Azure AI, Azure OpenAI, or similar platforms
    • Understanding of integrations, APIs, SharePoint Online, ServiceNow, or comparable enterprise platforms
    • Relevant Microsoft, Azure, Power Platform, or AI certifications are considered an asset
  • Soft Skills: 5+ years of experience
    • Ability to translate business needs into clear technical work items and help teams move from intake through build, testing, release, and sustainment
    • Experience collaborating with cross-functional teams to solve complex data challenges
      Self-Starter who identifies gaps in processes and advocates solutions for improvement
    • Experience and ability to coach, supervise and review the work of junior employees, as well as managing and coordinating expectations of stakeholders
    • Exceptional attention to detail and ability to self-review
  • This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment.
KPMG Ontario Region pay range information
The expected base salary range for this position is $112,500 to $162,500 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
ย 
KPMG BC Region Pay Range Information
The expected base salary range for this position is 110,500 to $165,500 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
ย 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right |ย Excellence, we never stop learning and improving |ย Courage, we think and act boldly | Together, we respect each other and draw strength from our differences |ย For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMGโ€™s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMGโ€™s Trusted AI framework.

We believe technology should empower human judgment, not replace it. Itโ€™s one of the many ways weโ€™re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • Technical: 7+ years of experience
    • Post-secondary degree in computer engineering, mathematics, data science, or related disciplines
    • Intermediate proficiency in Microsoft Excel (specifically with Power Query and VBA) and Microsoft Power Platform (including PowerBI, Power Automate, and Power Apps)
    • Intermediate proficiency working with databases
    • Intermediate proficiency in Python (or similar scripting languages) for data processing, automation, and analytical workflows
    • Experience with QA testing, including ability to create test plans, test cases, execute test cycles, etc.
    • Exposure to AI agent tools and generative AI capabilities, such as Copilot Studio, Azure AI, Azure OpenAI, or similar platforms
    • Understanding of integrations, APIs, SharePoint Online, ServiceNow, or comparable enterprise platforms
    • Relevant Microsoft, Azure, Power Platform, or AI certifications are considered an asset
  • Soft Skills: 5+ years of experience
    • Ability to translate business needs into clear technical work items and help teams move from intake through build, testing, release, and sustainment
    • Experience collaborating with cross-functional teams to solve complex data challenges
      Self-Starter who identifies gaps in processes and advocates solutions for improvement
    • Experience and ability to coach, supervise and review the work of junior employees, as well as managing and coordinating expectations of stakeholders
    • Exceptional attention to detail and ability to self-review
  • This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment.
KPMG Ontario Region pay range information
The expected base salary range for this position is $112,500 to $162,500 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
ย 
KPMG BC Region Pay Range Information
The expected base salary range for this position is 110,500 to $165,500 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
ย 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME