1

Analytics Jobs in Ontario (NOW HIRING)

Purpose The Manager, Analytics is responsible for leading a high-performing team of analytics professionals to deliver actionable insights that drive business strategy and performance across ...

Analytics Lead

Toronto, ON · On-site

CA$110K - CA$140K/yr

As an Analytic Lead, you will work collaboratively across departments to extract meaningful patterns, trends, and insights that will guide both our and client strategy. If you are an expert ...

CA$70K - CA$150K/yr

Data Analytics & Reporting This is a hybrid role in Toronto Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business ...

New

Campaign Analytics Manager

Toronto, ON · Hybrid

CA$70K - CA$150K/yr

Data Analytics & Reporting This is a hybrid role in Toronto Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business ...

Analytics Manager

Toronto, ON · On-site

CA$135K - CA$155K/yr

We are looking for an Analytics Manager to lead a team of Python developers and statistical analysts within our Commercial Data Science team, based in Toronto or Markham. In this role, you will guide ...

Analytics Manager

Markham, ON · On-site

CA$135K - CA$155K/yr

We are looking for an Analytics Manager to lead a team of Python developers and statistical analysts within our Commercial Data Science team, based in Toronto or Markham. In this role, you will guide ...

Role Purpose Reporting to the Senior Director, Operations Strategy & Insights, the Manager, People Analytics is accountable for delivering enterprise people reporting, workforce insights, and ...

CA$100K - CA$140K/yr

We are seeking a Product Analytics Lead to own analytics and insights for all tests and experimentation across our product landscape. This role is a highly analytical individual contributor who ...

The Director, Commercial Analytics is responsible for leading the strategy and delivery of commercial analytics that translate data into actionable insights to improve commercial performance and ...

The AML Analytics team supports the development of AML risk strategy to deliver CIBC's client experience, risk management, and business growth objectives.Reporting to the Director, the Consultant ...

You will lead the design and execution of complex analytics initiatives, leveraging advanced statistical modeling, data mining, and machine learning techniques to generate actionable insights that ...

You will also conduct ongoing data analysis associated with rules management within CIBC's fraud mitigation systems. Thereby, implementing new strategies and continuous improvement to existing ...

About RBCx Analytics The RBCx Analytics team solves strategic problems across the organization using a data-driven approach. We leverage data to unlock opportunities, influence strategy, assess the ...

New

next page

Showing results 1-20

Analytics information

See Ontario salary details

$33K

$114.1K

$192.5K

How much do analytics jobs pay per year?

As of Sep 3, 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.

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.

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 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.

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 and skills in tools like SQL, Python, and Tableau. Compensation varies by industry, location, and level of expertise, but it is considered a lucrative career option for those with strong analytical and technical abilities.

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 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $114,139 per year, or $54.9 per hour.

Sr. Manager/ Associate Director - Analytics Consulting (Commercial Pharma)

Tiger Analytics Inc.

Toronto, ON

Full-time

Re-posted 17 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are seeking a Data and Analytics professional with deep Life Sciences and Commercial Pharma Analytics experience to lead strategic analytics initiatives for global pharmaceutical clients. This individual will serve as a bridge between business stakeholders and technical teams, driving the design and implementation of scalable commercial analytics solutions that enable data-driven decision-making across Sales, Marketing, Market Access, Patient Services, and Commercial Operations. The ideal candidate combines strong pharmaceutical domain expertise with experience managing analytics products, defining KPIs, translating business requirements into data solutions, and leading cross-functional teams.

Key Responsibilities

  • Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
  • Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership.
  • Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics
  • Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse.
  • Ensure strong Power BI semantic model understanding (measures, relationships, performance).
  • Enable self-service analytics through well-designed datasets-not dashboards alone.
  • Establish KPI governance, adoption tracking, and success metrics for the product.
  • Lead a small cross-functional pod (data engineers, analysts).
  • Operate in an agile delivery model with clear sprint outcomes and executive visibility.
  • Act as the primary interface between business stakeholders and the technical team.

Requirements

  • 15+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences.
  • Strong understanding of commercial pharmaceutical functions, including Sales, Marketing, Market Access, Patient Services, Omnichannel Engagement, and Launch Excellence.
  • Experience working with industry-standard datasets such as IQVIA, Symphony Health, Komodo, MMIT, Veeva, Claims, Specialty Pharmacy, Hub, and Patient-level data.
  • Experience supporting commercial analytics, field force effectiveness, customer targeting, segmentation, omnichannel measurement, forecasting, patient journey analytics, or launch readiness programs.
  • Strong technical expertise in SQL, cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP), and BI tools such as Power BI and Tableau, with experience working in enterprise-scale analytics environments.
  • Solid understanding of data product development, including data modelling, semantic layer design, KPI frameworks, and Agile delivery methodologies, with the ability to translate business requirements into scalable analytics solutions
  • Proven experience owning product backlogs and driving roadmap execution.
  • Ability to operate independently in greenfield / build-from-scratch environments.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.