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Software Developer Data Analyst Jobs in Ontario (NOW HIRING)

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 Solutions Engineer * Build and deliver end-to-end data solutions, from ingestion and ... Business Analyst (Digitisation and Automation) * Partner with stakeholders to understand challenges ...

Leading infrastructure vendors, engineering firms, and construction companies use the platform to ... Citylitics is looking for a Data Analyst to own our Custom Solutions practice. You'll scope and ...

... software developer who is passionate about building and scaling cloud services for world-class ... Experience in big data analytics * Solid experience on building and maintaining event driven ...

Role A Senior Software Developer, Subsurface Information Management is responsible for the end-to ... Develop and optimize data models to support transactional and analytical workloads, ensuring ...

Data Analyst

Maple, ON ยท On-site

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 ...

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 ...

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 ...

... analysis, and software management tools Computer Science / Data Science Developer - apply statistical and AI/ML methods to time-series data for 5G feature verification Computer Science Developer ...

Leading infrastructure vendors, engineering firms, and construction companies use the platform to ... Citylitics is looking for a Data Analyst to own our Custom Solutions practice. You'll scope and ...

Solid software engineering fundamentals: automated testing, CI/CD, distributed version control (Git ... data processing, or analytics pipelines * Familiarity with search/indexing technologies and ...

You are a skilled Senior Software Developer with extensive software design and implementation ... Analyze call stacks, trace files, performance data to troubleshoot and identify the root cause of ...

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

Software Developer

Toronto, ON ยท On-site +1

CA$65K - CA$80K/yr

Software Developer Toronto, Ontario, Canada (Hybrid) Who We Are Turner Fleischer is one of Canada ... Develop and improve consistent data workflows and explore opportunities to apply machine learning ...

Junior Software Developer

Ottawa, ON ยท On-site

CA$60K - CA$87K/yr

The company was originally formed to provide innovative products and seasoned analysis to solve ... This role requires strong technical and data engineering skills, collaboration, and familiarity ...

New

Data Analyst Engineer

Dublin, ON ยท Hybrid

CA$75K - CA$120K/yr

The Data Engineer will use their technical, analytical and insurance expertise while working as part of project teams to deliver the benefits to AXIS. This is an excellent opportunity to work within ...

Effective analysis and troubleshooting skills, and persistence in solving problems. * Active ... Our forward-looking companies lead the way in software-powered workflow solutions, data-driven ...

Showing results 41-60

Software Developer Data Analyst information

Can a data analyst become a software developer?

A data analyst can transition to a software developer role by learning programming languages such as Python, Java, or C++, and gaining experience with software development tools and practices. Many skills from data analysis, like problem-solving and understanding data structures, are transferable, but additional coding and development experience are typically required.

What pays more, a software developer or a data analyst?

Software developers generally earn higher salaries than data analysts due to the demand for programming skills, experience with coding languages, and involvement in software creation. Data analysts typically have lower starting salaries but can increase earnings with advanced analytics skills, certifications, and experience working with tools like SQL, Python, or R.

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

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

Infographic showing various Software Developer Data Analyst job openings in Ontario as of September 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution.

Data Analyst

Toronto, ON โ€ข On-site

Full-time

Posted 16 days ago


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.