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Software Engineer Data Analyst Jobs in Ontario (NOW HIRING)

Data Analyst

Mississauga, ON ยท On-site

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

25-167 Data Engineer

Oshawa, ON ยท Hybrid

$75 - $95/hr

Education Completion of a four-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence ...

Data Analyst

Toronto, ON ยท On-site

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

Data Analyst

Brampton, ON ยท On-site

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

Data Analyst

Maple, ON ยท On-site

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

Software Engineer

Toronto, ON ยท On-site

CA$70K - CA$88K/yr

Demonstrated ability to embrace AI and apply it to your current role as well as data-driven ... We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than ...

Data Analyst

Unionville, ON ยท On-site

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

Software Engineer

Mississauga, ON ยท On-site

CA$70K - CA$88K/yr

Demonstrated ability to embrace AI and apply it to your current role as well as data-driven ... We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than ...

University Degree in Engineering / Computer Science / Mathematics /Statistics / Engineering ... data analytics or data science, ideally in a media or marketing environment Fluency in SQL and ...

Qualifications Completion of a four-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial ...

Bachelor's degree in Statistics, Maths, Engineering, Economics, or another quantitative field * 4-5+ years in similar analytical roles * Proficient in SQL and experience with complex data queries

DATA ANALYST & INTEGRATOR

Toronto, ON ยท Hybrid

CA$44.64 - CA$48.88/hr

Considerable experience with data visualization software such as Tableau, PowerBI, ArcGIS, R Shiny ... Considerable experience with statistical computing, object-oriented programming and database query ...

Collaborate on pioneering software solutions for real-time data analysis. Roche invites applications for a Senior GPU Software Engineer to elevate our unique nanopore platform. With a strong software ...

Data Analyst-1

Toronto, ON

CA$108K - CA$129K/yr

... Physics, Engineering) or related analytical fields. * Minimum 1 year work experience performing data analysis using statistical software (e.g. R, Python, SPSS, SAS) and creating reports and ...

The Data Analyst will be helping the team by, but not limited to, mining data for business insights ... other programming languages. Comfortable writing accurate, efficient, but complex SQL queries to ...

The Data Analyst will be helping the team by, but not limited to, mining data for business insights ... other programming languages. Comfortable writing accurate, efficient, but complex SQL queries to ...

Showing results 21-40

Software Engineer Data Analyst information

See Ontario salary details

$30K

$114.6K

$189.5K

How much do software engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for software engineer data analyst in Ontario is $114,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities in Ontario are hiring for Software Engineer Data Analyst jobs?

Cities in Ontario with the most Software Engineer Data Analyst job openings:

Data Analyst

Sanofi EU

Mississauga, ON โ€ข On-site

CA$94K - CA$136K/yr

Full-time

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Reference no. R2867765 

Position title: Data Analyst

Department: Diamond

Location: Toronto, ON

About the job

Ready to push the limits of whatโ€™s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.  

Reporting directly to the Sales and Demand Insights Data Product Manager, the Data Analyst (L2) is responsible for managing, analyzing, and transforming commercial data into AI-ready, trusted assets that power business decisions across US Brands.

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a commitment to Sanofi's AI-Ready Data principles: Understood, Trusted, Safe, and Shared.

About Sanofi 

Weโ€™re an R&D-driven, AI-powered biopharma company committed to improving peopleโ€™s lives and delivering compelling growth. Our deep understanding of the immune system โ€“ and innovative pipeline โ€“ enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve peopleโ€™s lives. 

Main Responsibilities:

AI-ENABLED ANALYTICS AND INSIGHT GENERATION

  • Leverage AI and machine learning tools and techniques, including generative AI and statistical models, to identify patterns, trends, and high-leverage insights from large commercial datasets

  • Develop and maintain AI-ready datasets, ensuring data is structured, governed, and fit-for-purpose for use in AI and ML solutions across US Brands

  • Apply Sanofi's Responsible AI (RAISE) framework principles when building or consuming AI-powered analytics, ensuring transparency, fairness, and ethical use

  • Explore opportunities to integrate AI and ML capabilities such as predictive demand modeling, sales forecasting, and segmentation into the Sales and Demand Insights product

DATA ANALYSIS AND BUSINESS INTELLIGENCE

  • Analyze large datasets to identify trends, patterns, and actionable insights that drive commercial decisions

  • Leverage data and facts to challenge conventional wisdom, form evidence-based conclusions, and identify high-leverage intervention points

  • Identify and analyze business needs that support the product strategy, harmonizing across business areas for a unified commercial data foundation for all US Brands

  • Communicate solution trade-offs clearly to frame and influence project decisions

DATA ENGINEERING AND AI-READY DATA DEVELOPMENT

  • Design and define ingestion processes to ensure efficient data flow and integration aligned with Sanofi's Data Mesh architecture

  • Build and maintain data pipelines that meet Sanofi's AI-Ready Data standards: quality-scored, classified, governed, and discoverable in the Data Marketplace

  • Develop detailed functional specifications and test cases based on business requirements

  • Apply strong understanding of data warehousing concepts including design patterns and ETL and ELT load strategies

DATA QUALITY AND GOVERNANCE

  • Implement and monitor Data Quality rules in line with Sanofi's AI-Ready Data standards covering accuracy, completeness, consistency, and timeliness

  • Ensure datasets are scored via Informatica CDGC and remediated when below defined quality thresholds

  • Support data classification, access policy definition, and privacy-by-design principles in compliance with Data Privacy, GxP, SOX, and cybersecurity requirements

  • Collaborate with Business Data Stewards and Digital roles to maintain shared data ownership and accountability

INNOVATION AND CONTINUOUS IMPROVEMENT

  • Proactively monitor industry, functional, and technology trends, particularly in AI and ML, generative AI, and commercial analytics

  • Identify new opportunities to leverage data and integrate internal and external sources to enhance business value

  • Aggregate and evaluate digital data sources including web, email, social media, and CRM to enrich commercial insights

About You

Required Qualifications:

  • Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field

  • Minimum 3 years of experience in data analysis, data manipulation, and data management

  • Expert proficiency in SQL and data querying

  • Proficiency in Python for data analysis and AI and ML workflows

  • Hands-on experience building or consuming AI-ready datasets and working with AI and ML platforms

  • Familiarity with Responsible AI principles and ethical data use including bias, fairness, and transparency

  • Experience with data warehousing, Snowflake, ETL and ELT pipelines, and cloud platforms

  • Strong team player with the ability to collaborate effectively in a fast-moving, agile environment

Preferred Qualifications:

  • Experience in commercial pharmaceuticals, biotech, or healthcare

  • Familiarity with Sanofi's AI Foundry, Data Mesh, or Informatica CDGC

  • Knowledge of generative AI tools and large language model-based analytics applications

  • Experience with digital data sources including web analytics, CRM, email, social media, and TV

  • Knowledge of Six Sigma and Agile practices

Tools and technologies:

  • Snowflake, SQL, Python, Informatica, AWS

  • JIRA, Confluence

  • Microsoft Suite including Teams, Excel, and PowerPoint

  • Power BI or equivalent data visualization tools

SANOFI SKILLS PROFILE - DATA ANALYSIS L2

(Aligned to Sanofi Global Jobs and Skills Official Taxonomy 2025)

Technical Skills:

  • Structured Query Language - SQL (Experienced)

  • Data Visualization (Intermediate)

  • Applied Statistics (Experienced)

  • Data Modeling (Experienced)

Functional Skills:

  • Data Analytics (Intermediate)

  • Data Quality (Intermediate)

  • Data Management (Intermediate)

  • Responsible AI (Intermediate)

Transversal Skills:

  • Business Acumen (Experienced)

  • Communication (Experienced)

  • Decision Making (Intermediate)

  • Professional Collaboration (Experienced)

Why Choose Us?  

  • Bring the miracles of science to life alongside a supportive, future-focused team. 

  • Discover endless opportunities to grow your talent and drive your career, whether itโ€™s through a promotion or lateral move, at home or internationally. 

  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. 

  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs. 

This position is for a new vacant role that is now open for applications.โ€‹ 

AI Usageโ€ฏ 

"Artificial Intelligenceโ€ refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information toโ€ฏidentifyโ€ฏpatterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Companyโ€™s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concernโ€ฏregardingโ€ฏyour personal information. You can also contact Canadaโ€™s Privacy Officer via Sanofiโ€™s dataโ€ฏsubject request portal,โ€ฏโ€ฏData Subject Rights Webform.โ€ฏTheโ€ฏData Subject Rights Webformโ€ฏcan also be used toโ€ฏrequest access or correction of your personal information and file a complaint.โ€ฏ  

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. โ€ฏAccommodations for persons with disabilities required during the recruitment process are available upon request.โ€ฏ

#GD-SPโ€ฏโ€‹ 
#LI-SP 

#LI-Onsite

#DBBCA

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera dรฉterminรฉe en fonction de l'expรฉrience dรฉmontrรฉe. Les employรฉs peuvent รชtre admissibles ร  participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplรฉmentaires sur les avantages sociaux peuvent รชtre trouvรฉes ici.