ZipRecruiter

Log In

1

Data Analytics Jobs in Ontario (NOW HIRING)

Chexy

A fintech startup in Toronto is seeking a Data & Fraud Operations Analyst to manage fraud detection and data analytics. In this dynamic role, you will monitor transactions, query datasets, and ...

Rogers Communications Sans-Fil inc.

Digital Data Analytics Manager Chaque jour, notre équipe Technologie poursuit le même but : relier les Canadiennes et les Canadiens aux personnes et aux choses qui comptent le plus à leurs yeux.

Rogers Communications Sans-Fil inc.

Digital Data Analytics Manager Chaque jour, notre équipe Technologie poursuit le même but : relier les Canadiennes et les Canadiens aux personnes et aux choses qui comptent le plus à leurs yeux.

Marinabaysands

Minimum 3 - 5 years of practical experience in data analytics, business analytics or Masters in any analytical field. * Casino related experience is a bonus but not compulsory. * Programming skills ...

previous pagenext page

Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Ontario

Data Analytics information

See Ontario salary details

$43K

$100.9K

$153K

How much do data analytics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data analytics in Ontario is $100,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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.

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 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 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.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

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

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

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

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

What cities in Ontario are hiring for Data Analytics jobs?

Cities in Ontario with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $100,887 per year, or $48.5 per hour.

Manager, Data Analytics - Canada

Toronto, ON • Remote

Zenni Optical
See more jobs at Zenni Opticalexternal

CA$300/day

Full-time

Medical, Dental, Vision, Life

Re-posted 14 days ago

Job description

About the Role:

Zenni is experiencing rapid growth in the affordable eyewear space, and data is at the core of our success. We are seeking a Manager, Data Analytics with a strong technical background and deep business domain expertise to partner closely with our Engagement Marketing team.

In this leadership role, you will bridge the gap between complex data architecture and strategic marketing initiatives. You will be responsible for translating large datasets into clear, actionable insights, empowering our cross-functional teams to make confident, informed decisions. By building robust data solutions and fostering strong collaboration across departments, you will directly impact our operational efficiency and drive revenue growth. If you are a collaborative leader who excels at leveraging data to solve real-world business challenges, this could be the next move for you!  This is a remote role overseeing a team of 2 and reporting to the Sr. Director of Data Engineering.

Responsibilities:
  • Champion data literacy: Provide ongoing training and support to the Engagement Marketing team, ensuring complex data concepts are seamlessly communicated and understood.
  • Drive cross-functional alignment: Act as the strategic bridge between the Data and Engagement Marketing teams, streamlining communication to boost operational efficiency and collaboration.
  • Power marketing platforms: Integrate enriched, highly trusted data with key business platforms (e.g.,Google, Tik Tok, Meta) to optimize ad delivery and AI performance.
  • Ensure data integrity: Own the lifecycle of data feeds, encompassing validation, monitoring, testing, and proactive alerting, to guarantee uncompromising data quality and reliability.
  • Define success metrics: Partner with functional teams to establish a shared, accurate understanding of the core metrics that drive organizational performance.
  • Shape the data roadmap: Lead the strategic planning for the data team, ensuring technical initiatives directly align with Zenni's overarching growth objectives.
  • Innovate continuously: Stay at the forefront of modern data engineering technologies and industry trends to evolve our strategy and keep our technical capabilities competitive.
Basic Qualifications:
  • Bachelor's degree in Computer Science, Machine Learning, Engineering, or a related technical discipline.
  • 8+ years of dedicated experience in the data area, coupled with at least 3 years navigating the fast-paced e-commerce landscape.
  • Deep business domain knowledge across key marketing functions, including but not limited to Performance Marketing, Lifecycle, and Brand Marketing.
  • Hands-on experience implementing marketing measurement methodologies, including Last-Touch, MTA, incrementality testing, MMM, and CVR measurement frameworks.
  • Extensive experience designing data architecture, performing complex data modeling, and building scalable ETL/ELT pipelines for centralized data warehouses.
  • Advanced fluency in SQL and Python, with the ability to dive deeply into a modern tech stack as a hands-on contributor.
  • Demonstrated success leading projects from start to finish, spanning requirement gathering, cross-functional stakeholder communication, architecture design, implementation, and QA.
  • Proactive leadership and cross-functional communication skills, with a proven ability to drive business impact.
Preferred Qualifications:
  • Hands-on expertise working within Databricks environments.
  • Proven track record of guiding and mentoring high-velocity data teams in a fast-paced setting.
  • Demonstrated success managing complex data integrations, advanced reporting, and platform optimization across diverse marketing channels.
  • An enthusiastic, proactive approach to tackling new technical challenges and driving continuous improvement.
Canada Perks & Benefits:
  • Annual bonus program
  • 100% employer-paid medical, dental, and vision (dependent coverage capped at $300/month)
  • Life, AD&D, and disability coverage (with optional add-ons)
  • Company-matched RRSP contributions up to 4%
  • Comprehensive wellbeing programs (mental, physical, emotional support)
  • Lifestyle Spending Account (wellbeing + learning)
  • Work-from-home stipend (for eligible roles)
  • Generous Flexible Time Off in addition to our Week of Zen - the time between Christmas and New Year's to relax and recuperate
  • Fully Paid Parental Leave - 16 weeks for birthing and non-birthing parents
  • Family forming & fertility support and services through Maven
  • Annual Zenni Gift Card - to use towards our products

Compensation

In addition to other forms of compensation like perks and benefits, the estimated range for this role is CAD 163,000 - 185,000. The final offer will be determined based on permissible, non-discriminatory factors such as skill set, experience, geographical location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.

Apply