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Analytics Jobs in Ontario (NOW HIRING)

As the Senior Manager, Analytics , you will lead the delivery of business intelligence and analytics that help shape strategic decisions across Sephora Canada. Leveraging data, market intelligence ...

Data Analytics Specialist Take a central role The Bank of Canada has a vision to be a leading central bank-dynamic, engaged and trusted-committed to a better Canada. No other employer in the country ...

New

We are looking to hire a Marketing Analytics Lead to join our Marketing Analytics team. This role is for a hands-on analyst who is passionate about telling stories with data, tackling complex ...

Leading high-profile analytics engagements across sell-side, buy-side, value creation, and performance improvement contexts, translating complex data into clear commercial insights * Helping ...

New

Lead analytics projects from inception to completion, collaborating closely with cross-functional teams to inform and execute business strategies. * Deliver clear, persuasive, and executive-ready ...

Showing results 41-60

Analytics information

See Ontario salary details

$33K

$114.1K

$192.5K

How much do analytics jobs pay per year?

As of Aug 14, 2026, the average yearly pay for analytics in Ontario is $114,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $140,000.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but it is considered a lucrative career option for those with strong analytical and technical skills.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is analytics as a job?

A job in analytics involves collecting, analyzing, and interpreting data to help organizations make informed decisions. Analysts use tools like Excel, SQL, and data visualization software to identify trends and insights. Strong problem-solving skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

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

The most popular types of Analytics jobs in Ontario are:

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

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

Infographic showing various Analytics job openings in Ontario as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,139 per year, or $54.9 per hour.

Full-time

Re-posted 11 days ago


Job description

Company Description

Mars United Commerce Powered by Marilyn is a global commerce company that delivers all the solutions clients need to grow their business today and tomorrow. Founded by the late Marilyn Barnett, we've become global leaders in four key commerce disciplines - Strategy & Analytics, Digital Commerce, Content & Experiences, and Retail Consultancy - that together form a United Commerce Ecosystem that provides all the expertise clients need to navigate the commerce marketing landscape. Our 800+ Martians across North America, Europe, Australia, New Zealand and Asia exist to drive growth for our people, our clients, and our communities all across the globe. 

Overview

Part of the overall Analytics Group, the Media Analytics Team focuses on digital analytics, audience insights, and media performance optimization, client reporting and relationships, as well as cross-functional integration. They deliver best-in-class campaign reporting and insights, enabling data-driven decisions for media mix investing within the retail media ecosystem. The team audits advertising campaigns, troubleshoots performance issues, tracks and reports on KPIs, and provides consultation to Commerce Media planning and buying teams. They partner with the Commerce Media team to discuss advertising performance, provide campaign insights and recommendations, and continuously improve digital media analytics product and service offerings. Additionally, they answer client questions and ensure insights align with business objectives, write and approve proposals and presentations, oversee the work, and help drive the growth of the department.

  • Core Responsibilities: Digital Analytics, Data Clean Rooms, First Party Data, Second Party Data, Third Party Data, Audience Insights, Retail Media Measurement, Post Campaign Analysis, Incrementality Analysis.
  • Primary Tools: Amazon Marketing Cloud, Azure Synapse, PowerBI, LiveRamp, Retail Media Platforms (Criteo, The Trade Desk, etc.)
Responsibilities

The Manager, Media Analytics will lead a small group of analysts and manage media data and analytics projects, ensuring the delivery of high-quality insights that support business objectives. This role requires collaboration with various departments to understand and address their data needs and provide input to continuously improve data processes and analytics methodologies. More specifically, in this role, you will:

  • Lead and manage a group of media analysts, providing leadership, development, and guidance.
  • Develop and implement comprehensive media analytics strategies to support business objectives.
  • Manage and execute media analytics projects, ensuring timely and accurate delivery of insights.
  • Ensure the accuracy and quality of all data, reports, and visualizations.
  • Collaborate with various departments to understand and address client media analytics needs.
  • Communicate findings and recommendations effectively to all stakeholders.
  • Continuously improve media data processes and analytics methodologies.
  • Support new business RFP & pitching efforts, as required.
  • Demonstrate ability to initiate relationships and be responsible for developing these into strong client relationships.
  • Identify unmet needs within the analytics department, and develop proposals to satisfy needs.
  • Develop and lead client presentations on media performance and insights.
  • Help to lead and develop people on the team (indirectly and directly).
  • Help the wider team attract, train, and develop talent, ensuring Analytics keeps a diversity of skills, backgrounds, and experience.
  • Continue to assist in knowledge sharing through internal communication events, training, and other written material.
  • Maintain relevant media and marketing certifications and stay informed of marketing trends and tools such as Walmart Scintilla, Amazon Marketing Cloud, etc.
  • Support wider agency initiatives.
  • Support the creation of white papers, agency "points of view", blog posts, etc.
  • Support annual planning initiatives with clients.
  • Show up - be accountable, take responsibility, and get back up when you are down.
  • Make stuff.
  • Share so others can see what's happening.
Qualifications
  • Bachelor's/Master's degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field.
  • At least 6 - 12 years of experience in media data analysis and analytics management.
  • Strong leadership capabilities and track record of managing and mentoring an analytics team.
  • Demonstrated experience in leading media analytics methodologies like Multi-Touch Attribution (MTA), Audience Development, Clustering, Markov Chain analysis, etc.
  • Experience in the media and marketing domain, providing valuable context for data-driven decision-making.
  • Experience with retail media platforms such as Amazon, Walmart, Target, Kroger, Criteo, Citrus, and third-party API partners (SKAI, Pacvue, etc).
  • Strong technical understanding of a range of media and marketing concepts such as first-party and third-party cookie-based data collection, developing and activating audience segments from digital analytics and data management platforms.
  • Excellent project management skills to handle multiple media analytics projects and meet deadlines.
  • Ability to direct team members to ensure successful outcomes of media analytic projects.
  • Superior communication skills to convey complex media data insights to non-technical stakeholders.
  • Strategic thinking to develop and implement effective media analytics strategies.
  • Experience in SQL and Python or R for media data querying and manipulation.
  • Strong statistical analysis skills to derive actionable insights from media data.
  • Proficient in data modeling to structure and organize media data effectively.
  • Extensive experience with BI tools and data visualization tools such as Tableau and Power BI for comprehensive media data analysis and reporting.
  • Familiarity with and experience in adhering to data governance and security protocols.
  • Proven track record of driving business results through data-driven decision-making in media.
  • Collaborative mindset to work seamlessly with creative, strategic, and client-facing teams.
  • Critical thinking to analyze media data and derive meaningful marketing insights.
Additional InformationSalary Transparency matters to us. The salary range for this position is CAD 105K - 115K per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.   

AI Use

We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people.

Mars United Commerce is an equal opportunity employer and we welcome and encourage applications from all interested parties. Accommodations are available, upon request, for all stages of the interview and employment process for those with a disability or medical need during any stage of the recruitment process. We thank all candidates for their interest in Mars United Commerce, however, only those candidates selected for an interview will be contacted. 

Employment Type: FULL_TIME