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Sas Statistical Programmer Jobs in Ontario (NOW HIRING)

CIBC US

Consultant, Fraud Analytics

Toronto, ON · Hybrid

... SAS, SQL and/or Python. Predictive modeling include complex statistical concepts/theories and ... Database management/querying, and computer programming/software expertise. * Communication Skills ...

Marinabaysands

Degree in Business Analytics,Computer Science, Applied Mathematics, Statistics or other analytical ... Programming skills using analytical tools such as SQL, R, Python, Base SAS, SAS EG, is required.

Marinabaysands

Degree in Business Analytics, Applied Mathematics, Statistics, Marketing or other analytical fields ... Programming skills using analytical tools such as Base SAS, SAS EG, SQL, R or Python is required.

Futuretek

Data Analyst

Toronto, ON

Requirements * Bachelor's degree in Statistics, Maths, Engineering, Economics, or another ... Experience with PowerBI and familiarity with statistical tools and models (R, SAS) Benefits

Léger

Research Intern

Toronto, ON

Experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., R, Python) is an asset Skills * Analytical Skills: Ability to work with data, identify basic trends, and support ...

Marinabaysands

Degree in Business Analytics, Applied Mathematics, Statistics or other analytical fields preferred ... Programming skills using analytical tools such as Base SAS, SAS EG, SQL, R or Python is required.

Scotiabank

Manager Data & Analytics

Toronto, ON

... statistical models for annual limit setting * Ensure all business line strategic priorities ... engineering * Proficiency utilizing a variety of analytical tools including SAS, SQL, Power BI ...

Clarivate

Senior Product Manager

Toronto, ON · Hybrid

CA$110K - CA$140K/yr

Bachelor's degree in computer science, Statistics, Technology, or Engineering, Life Sciences or ... Familiarity with analytics using SQL, SAS, Python, R, statistical modeling, and AI/ML techniques

Clarivate Analytics

Senior Product Manager

Toronto, ON · Hybrid

CA$110K - CA$140K/yr

Bachelor's degree in computer science, Statistics, Technology, or Engineering, Life Sciences or ... Familiarity with analytics using SQL, SAS, Python, R, statistical modeling, and AI/ML techniques

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Sas Statistical Programmer information

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$34

$48

$87

How much do sas statistical programmer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for sas statistical programmer in Ontario is $48.51, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $50.96 per hour, depending on experience, location, and employer.

What is a SAS statistical programmer?

A SAS Statistical Programmer is a professional who utilizes SAS software to manage, analyze, and report statistical data, primarily in industries like pharmaceuticals, healthcare, and clinical research. They write and validate programs to generate tables, listings, and figures for clinical trials or other data-driven studies. Their role involves ensuring data accuracy, compliance with regulatory guidelines, and collaboration with statisticians and researchers to support decision-making.

What types of projects do SAS statistical programmers typically work on, and how do they collaborate with other teams?

Sas Statistical Programmers often work on projects involving the analysis and reporting of clinical trial or observational study data, producing datasets, tables, listings, and figures to support regulatory submissions or scientific publications. They routinely collaborate with biostatisticians, clinical data managers, and project managers to ensure data quality and compliance with industry standards. Daily responsibilities include coding in SAS, validating datasets, troubleshooting data issues, and preparing documentation. Effective communication and teamwork are essential, as the role frequently involves working in multidisciplinary teams to meet project goals and timelines.

What are the key skills and qualifications needed to thrive as a SAS statistical programmer, and why are they important?

To thrive as a Sas Statistical Programmer, you need a strong background in statistics, programming (especially SAS), and data management, usually supported by a degree in statistics, computer science, or a related field. Familiarity with SAS Base, SAS Macro, and clinical data standards like CDISC, as well as relevant industry certifications, are commonly required. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills. These competencies ensure accurate data analysis, clear reporting, and successful collaboration within cross-functional teams in fields like healthcare or pharmaceuticals.

What are popular job titles related to Sas Statistical Programmer jobs in Ontario?

For Sas Statistical Programmer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Sas Statistical Programmer jobs in Ontario look for?

The top searched job categories for Sas Statistical Programmer jobs in Ontario are:

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Sas Statistical Programmer jobs near you
Infographic showing various Sas Statistical Programmer job openings in Ontario as of August 2026, with employment types broken down into 66% Full Time, 14% Part Time, and 20% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $100,899 per year, or $48.5 per hour.

VP credit Risk & Analytics

Chad Management Group

Toronto, ON

CA$160K - CA$180K/yr

Full-time

Re-posted 2 days ago

Job description

VP Credit Risk & Analytics

Cambridge ON

With over $1Billion in loans funded, our client has helped hard-working Canadians with personalized money solutions with more flexibility than traditional banks across both its retail and digital channels. They are a member of the Canadian Consumer Finance Association, fully licensed lender with 110+ branches across Ontario. The company believes their customers deserve clear, understandable loan terms and therefore encourage fair and fully disclosed lending practices. The company is on a National growth path, working to digitize the end to end consumer lending experience.

About The Role:

The successful candidates will play an instrumental role assisting with the development of the company's strategy to enhance its Credit Scoring capabilities and exponentially grow its consumer loan portfolio, in branch and digital.

This role will support the development, enhancement and monitoring of all credit scores used in the entire lifecycle of credit: Acquisitions, Adjudication, Credit Limit Assignment, Portfolio Management, Collections, Fraud, Loss Forecasting.

The successful candidate will bring strong statistical knowledge and experience in a credit risk environment with a proven track record of working with other business leaders from across the organization to drive analytically based strategies.

Qualifications:

  • 5+ years of experience within consumer lending environment
  • Experience building predictive models, regression modeling, credit modelling for auto adjudication, decision trees, logistics regression, etc.
  • Experience with R, Matlab, Python or Base SAS.
  • Demonstrated understanding of credit scores and, their use in business strategies, post implementation use, and monitoring
  • Knowledge of automated decision engines (helped automating decision engines for different clients)
  • Strong project management and communication skills
  • Proven analytical and conceptual thinker who can adapt to a rapidly changing environment
  • Demonstrated ability in working within team and collaborating with multiple stakeholders to understand issues and solve problems
  • Ability to distill and communicate complex analytic recommendations to both technical and non-technical stakeholders, both orally and in written presentations
  • Educational backgrounds in Applied Statistics, Computer Science, Risk Management, Financial Engineering, Statistical Modelling