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Data Jobs in Saskatchewan (NOW HIRING)

Senior Database Developer

Saskatoon, SK · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

Senior Database Developer

Saskatoon, SK · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

The role provides comprehensive reporting and data analytics related to inventory control, stock leveling, and data integrity. DUTIES & RESPONSIBILITIES INCLUDE BUT NOT LIMITED TO: * Create and run ...

The role will work on problems of moderate scope where analysis of data and situations requires review of a variety of factors. The incumbent will exercise judgment within defined procedures and ...

Showing results 41-60

Data information

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most commonly searched types of Data jobs in Saskatchewan? The most popular types of Data jobs in Saskatchewan are:
What job categories do people searching Data jobs in Saskatchewan look for? The top searched job categories for Data jobs in Saskatchewan are:
Infographic showing various Data job openings in Saskatchewan as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

Senior Manager, Data Analysis & Audit Productivity

KPMG

Swift Current, SK

Full-time

Re-posted 24 days ago


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 Department of Professional Practice (DPP). 


What you will do
  • Act as a manager on our Audit Productivity team with a focus on data analysis and automation
  • Manage the updates, maintain, and support audit teams with the use of our automated budget dashboard
  • Manage the updates, maintain, and support audit teams with the use of our milestone monitoring dashboard
  • Manage the updates, maintain, and support our national office with the use of mining data from a globally supported solution, KCw Data Mining
  • Develop end-user dashboard solutions to aid our engagement teams in the project management of their audits, and to assist leadership in their ability to centrally monitor audit progress nationally
  • Develop automated solutions for our largest engagement teams as needed
  • Coach, supervise and review the work of junior team members, including audit project coordinators
  • Design automated feedback solutions for audit productivity tools and dashboards to facilitate a timely and meaningful feedback process
  • Liaise with subject matter experts’ teams to identify the need for, and obtain access to information that supports our automated and centralized processes
  • Perform testing of new automated tools and dashboards, and maintain excellent records to evidence results
  • Identify problems with our internal audit processes and develop automated solutions to address them
  • Prepare quarterly reporting to national and global leadership

What you bring to the role
  • 5+ years of experience working in financial data analysis
  • Experience and ability to coach, supervise and review the work of junior employees
  • Exceptional attention to detail and ability to self-review
  • Self-Starter who identifies gaps in processes and advocates solutions for improvement
  • Advanced proficiency in Excel in particular with; Power Query and VBA
  • Intermediate/Advanced proficiency in PowerBI, Power Automate, and Power Apps
  • Intermediate/Advanced proficiency working with databases
  • Experience with SQL, SharePoint, and RPA tools

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 $108,500 to $158,500 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 $86,000 to $150,000 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:
  • 5+ years of experience working in financial data analysis
  • Experience and ability to coach, supervise and review the work of junior employees
  • Exceptional attention to detail and ability to self-review
  • Self-Starter who identifies gaps in processes and advocates solutions for improvement
  • Advanced proficiency in Excel in particular with; Power Query and VBA
  • Intermediate/Advanced proficiency in PowerBI, Power Automate, and Power Apps
  • Intermediate/Advanced proficiency working with databases
  • Experience with SQL, SharePoint, and RPA tools

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 $108,500 to $158,500 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 $86,000 to $150,000 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