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Senior Data Analytics Engineer Jobs in Ontario (NOW HIRING)

A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving ... analysis 90 days: - Owning and automating reporting workflows from data ingestion all the way to ...

The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client ...

The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client ...

The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client ...

This is a senior role with broad influence across the company. You will architect the analytics ... Develop scalable data models and transformation layers that power analytics across the company

... Senior Data Analyst to join our Commercial Solutions Product Management team, where data and ... Science, Engineering) * 5+ years of experience in data, analytics, or business/data roles

The Data & Analytics team is moving from a legacy reporting model to a modern data platform ... About the Role: The Senior Data Engineer will design, build, and improve the data platform ...

The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client ...

Senior Data Developer Level: MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Senior Data Scientist

Woodbridge, ON · On-site

CA$120K - CA$165K/yr

Senior Data Scientist Department: Data Science and Analytics Location: 6300 Steeles Ave West ... A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Graduate degree ...

Senior Data Engineer

Oakville, ON · Hybrid

CA$127K - CA$155K/yr

Build the real analytical products on the managed foundation: reproducible, governed, and with full lineage. * Enabling product teams. Product engineering teams build their own customer-facing data ...

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering ... Work in all phases of the software development life cycle including functional analysis ...

We are seeking a Senior Data Engineer to help design and build the next generation of our Data ... Partner with DevOps, Analytics Engineering, and other stakeholders to close infrastructure gaps and ...

Showing results 41-60

Senior Data Analytics Engineer information

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are the most commonly searched types of Data Analytics Engineer jobs in Ontario?

The most popular types of Data Analytics Engineer jobs in Ontario are:

What are popular job titles related to Senior Data Analytics Engineer jobs in Ontario?

For Senior Data Analytics Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Ontario look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Ontario are:

What cities in Ontario are hiring for Senior Data Analytics Engineer jobs?

Cities in Ontario with the most Senior Data Analytics Engineer job openings:

Infographic showing various Senior Data Analytics Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago


OSL Retail Services rating

4.4

Company rating: 4.4 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

27th of 30 rated technology retailers


Job description

At OSL Retail Services, we believe people are the heart of everything we do, and it is an exciting time to be part of something special! Our momentum is growing, and is fueled by innovation, collaboration, and a shared entrepreneurial spirit that drives real results. Founded in 2012 in Mississauga, Ontario, OSL delivers customized sales solutions in retail, direct sales, and customer acquisition, all built on a foundation of integrity, respect, and passion. Our culture thrives on connection, purpose, and growth. If you’re looking for a place where your talents are valued, your ideas matter, and your career can grow, we’d love to meet you!

The Role:

 

We are currently seeking a Senior Data Analyst to monitor, assess, and translate key business data into meaningful insights. This role will focus on Omnichannel core KPIs, sales and profit performance, marketing effectiveness, and site performance to help optimize results and support informed business decisions.  The incumbent will also lead eCommerce market intelligence activities, including online market sizing, brand-level market share analysis, competitive insights, global best-price benchmarking, and market price monitoring.

 

What you’re responsible for:

 

KPI Management (50%)

  • Track and manage sales and profit performance against targets and historical results.
  • Design, develop, and maintain KPIs for eCommerce and store performance.
  • Develop tracking tools for site operations and Omnichannel KPIs, including visits, conversion, bounce rate, average order value, attach rate, reserve and pick-up, and cart abandonment rate; analyze results and provide actionable insights.
  • Develop tracking tools for partner-related KPIs, including transaction processing, shipping lead time, fraud rejections, and return lead time; analyze results and identify opportunities for improvement.
  • Partner with the Marketing Manager to assess digital marketing campaign effectiveness and provide timely recommendations for updates or changes.
  • Manage and maintain the BI reporting tool developed in Tableau.
  • Use Omniture and Google Analytics to extract and analyze performance-related data.
  • Support the development of weekly, monthly, and annual revenue targets by SKU, aligned with the mid- to long-term eCommerce strategy.

Market Intelligence (30%)

  • Partner with the Market Intelligence team to gather total market and eCommerce data and develop accurate online market size estimates.
  • Collaborate with external vendors to monitor industry trends and market share.
  • Maintain tracking tools for market-related data and reporting.
  • Monitor competitor activity and provide clear, actionable competitive analysis.
  • Work with HQ and review external sources to identify and share eCommerce store best practices.
  • Monitor product pricing across retail channels and assess alignment to ensure pricing is managed appropriately.

Strategy, Planning and Reporting (20%)

  • Support the development of weekly, monthly, and annual sales targets by SKU for eCommerce and stores.
  • Support the development of mid- to long-term strategies for eCommerce and store growth.
  • Develop regular KPI reports for internal stakeholders, highlighting key trends, results, and insights.
  • Prepare ad hoc reports and analysis as required to support business needs.

To Join Our Team:

  • Bachelor’s degree in Business, Analytics, or a related field, with relevant professional experience.
  • Proficiency in Microsoft Excel, Word, and PowerPoint.
  • Strong communication and interpersonal skills, with the ability to build relationships and engage effectively with stakeholders at all levels, from senior executives to support teams, both within and outside the organization.
  • Self-motivated and able to work independently with minimal supervision while consistently meeting deadlines.
  • Strong analytical, organizational, and planning skills.
  • Ability to translate data and insights into clear, compelling storylines for reports and presentations.

Technical Skills

  • Required: High proficiency in SQL for querying complex relational databases.
  • Required: Expertise in data visualization and building automated dashboards using BI tools such as Tableau or Power BI.
  • Required: Advanced proficiency in Microsoft Excel (pivot tables, complex formulas, modeling).
  • Strongly Preferred: Experience with a statistical programming language (Python or R) for data manipulation and analysis.
  • Required: Hands-on experience with web analytics platforms, particularly Google Analytics

Let's Talk Perks 

 

While the salary for this role is $75K to $82K, with a yearly eligible 10% bonus, your final compensation will reflect your years of experience and beyond the numbers, we’re proud to offer a holistic package that includes:

  • Generous time off: 3 weeks of vacation.
  • Comprehensive benefits package: Includes medical, dental, vision and a health spending account.
  • Retirement support: Company-sponsored RRSP matching program to help build your financial future.
  • Award-winning culture: Proud to be one of Canada’s Best Managed Companies for 8 years running — now a Platinum Club member.
  • Invested in you: Structured employee development programs designed to help you thrive.

We’re committed to supporting your success every step of the way.  What are the next steps?

The Interview Process

Step 1: If your profile is a match, we will invite you for a first conversation with the recruiter.

Step 2: The next step is a virtual or in person interview with the hiring manager.

Step 3: The final step is an in-person interview with the hiring manager and extended team members.

Ready to bring your talent to a team where your impact matters? Apply today — we can’t wait to meet you!

 

We thank all interested applicants; however, only qualified candidates will be contacted.  This position requires successful completion of a criminal background check. OSL is committed to an inclusive workplace that does not discriminate against race, nationality, religion, age, marital status, physical or mental disability, sexual orientation, gender, or gender identity. We believe in diversity and encourage any qualified individual to apply.

Disclaimer: As part of our recruitment process, we utilize artificial intelligence (AI)-based tools to assist with certain stages, including initial resume screening and skills-matching assessments. These tools are designed to help our hiring team identify candidates whose experience and qualifications align closely with the requirements of the role. Please note that all final hiring decisions are made by our recruitment team.  The preceding job description has been designed to indicate the general nature and level of work performed by employees within this job. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.  In compliance with Ontario’s Bill 190, we confirm that this posting represents a current existing vacancy within our organization.


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