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Quantitative Data Analyst Jobs in Saskatchewan (NOW HIRING)

High proficiency in product strategy, quantitative analytics and customer research synthesis ... By combining a business's unique data with AI and automation, Vendasta simplifies marketing, sales ...

High proficiency in product strategy, quantitative analytics and customer research synthesis ... By combining a business's unique data with AI and automation, Vendasta simplifies marketing, sales ...

Lead UI/UX Designer

Regina, SK ยท Remote

$90K - $100K/yr

Work with key stakeholders to identify and analyze opportunities to improve our products * Ensure a ... quantitative insights, data, ethnography. * Experience setting clear goals, deadlines and key ...

Lead UI/UX Designer

Saskatoon, SK ยท Remote

$90K - $100K/yr

Work with key stakeholders to identify and analyze opportunities to improve our products * Ensure a ... quantitative insights, data, ethnography. * Experience setting clear goals, deadlines and key ...

Lead UI/UX Designer

Saskatoon, SK ยท Remote

$90K - $100K/yr

Work with key stakeholders to identify and analyze opportunities to improve our products * Ensure a ... quantitative insights, data, ethnography. * Experience setting clear goals, deadlines and key ...

Lead UI/UX Designer

Regina, SK ยท Remote

$90K - $100K/yr

Work with key stakeholders to identify and analyze opportunities to improve our products * Ensure a ... quantitative insights, data, ethnography. * Experience setting clear goals, deadlines and key ...

Google Analytics and other quantitative and qualitative analytics tools. * Figma prototyping tool ... Integrate and reinforce data-driven decision-making and increase tracking of web analytics.

Quantitative Data Analyst information

See Saskatchewan salary details

$28K

$97.9K

$160K

How much do quantitative data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for quantitative data analyst in Saskatchewan is $97,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What does a quantitative data analyst do?

A Quantitative Data Analyst uses statistical, mathematical, and computational techniques to analyze complex datasets and derive meaningful insights. They work with large datasets to identify patterns, trends, and correlations that support data-driven decision-making. Typically, they use programming languages like Python, R, and SQL, along with tools like Excel and machine learning models. Their work is crucial in industries like finance, healthcare, and technology, where data-driven strategies improve efficiency and outcomes.

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

To thrive as a Quantitative Data Analyst, you need strong analytical skills, proficiency in statistics and mathematics, and a relevant degree such as in mathematics, statistics, economics, or computer science. Expertise with technical tools like SQL, Python, R, data visualization platforms, and possibly certifications in data analytics or statistical software is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret data and present actionable insights to diverse stakeholders. These competencies ensure the accurate analysis and clear presentation of complex data, enabling informed business decisions and organizational success.

What are some common challenges quantitative data analysts face in their day-to-day work?

Quantitative Data Analysts often encounter challenges such as ensuring data accuracy, cleaning large and complex datasets, and managing inconsistent or incomplete information. They may also need to translate abstract statistical findings into clear, actionable recommendations for team members who may not have a technical background. Additionally, balancing multiple projects and tight deadlines can require strong organizational skills. Collaborating effectively with colleagues from different departments helps to align analytical solutions with business objectives and ensures that insights drive real impact.

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

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

Infographic showing various Quantitative Data Analyst job openings in Saskatchewan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $97,903 per year, or $47.1 per hour.

Postdoctoral Fellow, Plant Sciences

Saskatoon, SK โ€ข Remote

Full-time

Re-posted yesterday


Job description

Primary Purpose: The Agronomic Crop Imaging Lab (ACI Lab), University of Saskatchewan invites applications for a three-year postdoctoral fellowship (PDF) under its Research Grant Programs. The selected candidate will contribute to a number of ongoing research projects.

Nature of Work: Combination of desk and fieldwork

Accountabilities: The PDF will play a key role in connecting a dynamic team of soil and crop scientists, GIS specialists, remote sensing experts, and computer programmers. They will be responsible for:

  • Conducting fieldwork using UAVs (drones) to capture high-resolution imagery and environmental data
  • Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors
  • Leveraging artificial intelligence, e.g. machine learning, reinforcement learning to develop data-driven, space-time explicit precision agronomic solutions
  • Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation
  • Designing and managing scalable ETL (Extract, Transform, Load) pipelines to integrate multi-source, multimodal datasets
  • Applying big-data analytic, including spatio-temporal modeling and deep learning techniques
  • Collaborating with an interdisciplinary team of soil scientists, agronomists, and computer scientists
  • Presenting research findings at national and international conferences and contributing to peer-reviewed publications
  • Being part of the new Nutrien Centre for Digital and Sustainable Agriculture

Education: Ph.D. in Plant Science, Environmental Science, Soil Science, Geography, Bioresources, Computer Science, or related discipline

Licenses: A valid class 5 driver's license is a necessity.

Experience: The candidate should have extensive experience in handling big geospatial datasets, remote sensing, and quantitative research techniques. Strong scientific communication and writing skills are essential. Additionally, the candidate must demonstrate the ability to work independently while collaborating effectively within a team.

Skills: Expertise in varying disciplines, with strong proficiency in programming languages such as R, Python or Javascript is required. Experience in big data analytics and deep learning using time series analysis and spatial interpolation of landscape features in the Canadian Prairie would be considered an asset.

To Apply:
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. The University of Saskatchewan is committed to the principles of employment equity. The University encourages applications from qualified Aboriginal people, persons with a disability, racially visible persons, and women.

Please include your curriculum vitae, cover letter, academic transcripts, degree certificate(s), and contact information in your application.