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Junior Data Analyst Jobs in Saskatchewan (NOW HIRING)

Ability to analyze environmental data, including soil and water quality data, to inform reclamation plans and closure strategies. * Junior-level project management skills to assist in planning ...

Ability to analyze environmental data, including soil and water quality data, to inform reclamation plans and closure strategies. * Junior-level project management skills to assist in planning ...

Data-Driven Analysis: Utilize process mapping and value-stream mapping tools to identify ... Provide formal and informal mentorship to junior and intermediate business analysts, establishing ...

Mentor junior QA team members and promote best practices. * Provide client support and training ... In accordance with the TELUS Health Solutions Data Center Security Policy, as a condition of ...

Manager - Hydrogeology

Saskatoon, SK · On-site +1

CA$120K - CA$180K/yr

... of junior team members. About the Role * Provide hydrogeological technical input to projects throughout Ensero. * Technical communications of groundwater data including data analysis and report ...

... data analysis, interpretation and monitoring data to satisfy regulatory requirements and resolve complex environmental problems. * Development of junior and intermediate staff through ongoing ...

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Junior Data Analyst information

See Saskatchewan salary details

$14

$25

$38

How much do junior data analyst jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for junior data analyst in Saskatchewan is $26.00, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $29.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

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

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

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 Junior Data Analyst jobs in Saskatchewan?

For Junior Data Analyst jobs in Saskatchewan, the most frequently searched job titles are:

What job categories do people searching Junior Data Analyst jobs in Saskatchewan look for?

The top searched job categories for Junior Data Analyst jobs in Saskatchewan are:

What cities in Saskatchewan are hiring for Junior Data Analyst jobs?

Cities in Saskatchewan with the most Junior Data Analyst job openings:

Infographic showing various Junior Data Analyst job openings in Saskatchewan as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $54,076 per year, or $26 per hour.

Senior Manager, Data Analysis & Audit Productivity

KPMG

Regina, SK • On-site

Full-time

Re-posted 24 days ago


Key responsibilities

  • Design, build, and maintain scalable data pipelines, automate data processing, and support reporting and analytics initiatives using Databricks.

  • Develop and support workflow automation solutions with Microsoft Power Automate and PowerApps, and manage dashboards for audit project management and monitoring.

  • Lead and oversee the work of junior team members in designing, building, testing, and deploying solutions, ensuring quality and documentation.


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’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, you’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.  Through high support, including progressive learning, strong coaching, inclusive teamwork, and a shared commitment to integrity, we perform at our best – measuring what matters, recognizing impact, and continuously evolving to deliver excellence.  This creates a culture where the best work happens when high challenge and high support work together.  That balance is how our values show up—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 – 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  
  • Proactively improve internal audit processes and leveraging automation, analytics, and AI tools to address them
  • Liaise with subject matter experts’ 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 applicant’s base salary within this range is based on the individual’s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
 
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 applicant’s base salary within this range is based on the individual’s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
 

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


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | 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 KPMG’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 KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’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 applicant’s base salary within this range is based on the individual’s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
 
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 applicant’s base salary within this range is based on the individual’s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
 

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

Education:UNAVAILABLEEmployment Type: FULL_TIME