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Data Analytics Jobs in Kitchener Waterloo, ON (NOW HIRING)

... analytics, critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making. The Senior Data Analyst gathers, analyses, and reports data ...

... analytics, critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making. The Senior Data Analyst gathers, analyses, and reports data ...

Data Analyst (Transit)

Guelph, ON · Hybrid

CA$77K - CA$96K/yr

Considerable experience related to the duties above, normally acquired through a diploma or degree in Data Analytics, Computer Science, Information Systems, or a related field. An equivalent ...

Through quantitative analysis, collection and dissemination of data, we provide both academic and administrative departments in all aspects of planning, research, enrolment, and budget. Duties and ...

New

Provide ongoing technical systems and analytics support to operations managers. Advise them on using the system's dashboards and interpreting the data. Perform system configuration changes based on ...

We're looking for bright, analytical minds to help bring our strategy to life. If you're passionate ... Data Scientist We're looking for a Data Scientist to join our growing team and build the next ...

Data Scientist

Cambridge, ON · Hybrid

CA$64K - CA$114K/yr

We're looking for bright, analytical minds to help bring our strategy to life. If you're passionate ... Data Scientist We're looking for a Data Scientist to join our growing team and build the next ...

Progress toward a CPA, CFA, or data analytics certification is considered a strong asset. * Technical Proficiency: Advanced proficiency in Microsoft Excel (including deep familiarity with Power Query ...

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Data Analytics information

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What cities near Kitchener Waterloo, ON are hiring for Data Analytics jobs? Cities near Kitchener Waterloo, ON with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Kitchener Waterloo, ON as of July 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution.

Senior Data & Analytics Product Manager - North America

Mars

Guelph, ON • On-site

CA$108K - CA$142K/yr

Full-time

Re-posted 18 days ago


Mars Inc. rating

7.7

Company rating: 7.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

122nd of 434 rated food and drinks producers


Job description

Job Description:

Senior Data & Analytics Product Manager (North America)

Are you a visionary data leader ready to revolutionize how a global giant connects with pet parents and consumers? At Royal Canin, a proud division of Mars, Incorporated, we are undergoing a monumental Digital Transformation. We believe that solving critical business problems in a user-centric way through cutting-edge Data & Analytics is fundamental to our growth. Building on our early successes and foundational capabilities, we are looking for a trailblazing Senior Data & Analytics Product Manager (North America) to join our Global D&A Team and accelerate this journey.

In this pivotal technical leadership role, you will shape and deliver the North American marketing analytics product portfolio. Your core mission will be leading the evolution of our Marketing Mix Modeling (MMM) capabilities from traditional time-series methods to a modern, Causal and AI-Native framework. Bridging the gap between strategy and data science, you will collaborate with regional leaders and lead a high-performing squad of data engineers and scientists to deploy products that deliver massive, sustained business value.

If you are a builder who "leads with problems, not tools," thrives in translating complex algorithms into strategic business solutions, and wants to drive breakthrough innovation on a global scale, this is your opportunity to make a lasting impact.

What are we looking for?
  • Education: Bachelor's degree in Data Science, Statistics, Marketing Analytics, Business, Computer Science, or a related quantitative field. A Master's degree is preferred.

  • Core Experience: 7+ years of progressive experience in data & analytics, with a focus on marketing analytics and media mix modeling within a complex, multi-channel environment.

  • MMM Expertise: Strong background in Marketing product delivery for Data & Analytics with a particular focus on Marketing Mix Management. Expertise in the theory and application of modern Marketing Mix Modeling (MMM), including an understanding of its evolution from traditional time-series methods to contemporary causal and AI-based approaches (e.g., Bayesian methods, hierarchical models, agent-based models).

  • Stakeholder Leadership: Track record of customer-facing success and business acumen in working with teams to identify problems to solve, ideating on the art of the possible, and bringing possibilities to life.

  • Business-to-Science Translation: Strength in business-to-science translation to enable partnering with business teams and technology teams in bringing analytics product ideas to life.

  • Analytics Foundation: Strong analytics foundation, with experience in areas such as causal inference, advanced statistical modeling, and machine learning as they apply to marketing effectiveness.

  • Delivery Management: Experience in delivery management of analytical products, or awareness of the drivers of complexity within delivery.

What will be your key responsibilities?
  • Continuously build a roadmap of highest-impact analytical product areas with a focus on value-generation for our Marketing function.

  • Understand current state process, pain points, user personas, and existing tooling to synthesize many different viewpoints of the problem that each analytical product addresses into a clearly defined vision.

  • Architect the backlog of Epics that iteratively address the problem using the agile framework.

  • Prioritize Epics into Product releases and advocate for resourcing to achieve analytical product goals.

  • Oversee a squad of technical resources (including data engineers, data scientists, contractors and/or vendors) that will be deployed to the Product through release execution.

  • Evaluate solution's ability to solve the problem through adoption and other value creation indicators.

What can you expect from Mars?
  • Work with diverse and talented Associates, all guided by the Five Principles.

  • Join a purpose driven company, where we're striving to build the world we want tomorrow, today.

  • Best-in-class learning and development support from day one, including access to our in-house Mars University.

  • An industry competitive salary and benefits package, including company bonus.

The base pay range for this position at commencement of employment is expected to be between the below range. Please note: This job posting is for an existing vacancy. AI is used as a supporting tool in our recruitment process.

Base Salary Range: $108,672.00 CAD - $142,632.00CAD

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Employment Type: FULL_TIME

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