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Data Analytics Jobs in London, ON (NOW HIRING)

CarePartners

Senior Data Analyst

London, ON

CA$80K - CA$95K/yr

  • Medical

  • Dental

... 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 ...

CarePartners

Senior Data Analyst

London, ON

CA$80K - CA$95K/yr

  • Medical

  • Dental

... 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 ...

RoseHarbor Publishing

Data Analyst

London, ON

... similar analytics platformrequired. * Knowledge and experience using data warehouse concepts and principles including star schema designand semantic modeling. * Strong SQL skills and a solid ...

Turo

Senior Data Analyst, Business Intelligence

London, ON · Hybrid

CA$114K - CA$143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your profile: * 4+ years in a business intelligence or data analytics role, preferably at a high-growth tech or marketplace company. * Ownership Mentality: Proven ability to take full end-to-end ...

Vanier

Manager of Quality & Data

London, ON

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Reporting to the Director, Data Strategy, Analytics and Quality, you will manage the Lead Agency and Data and Quality team, including Vanier's data and quality projects and programs. You will be ...

Danaher

Director, Commercial Analytics

London, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Director, Commercial Analytics is responsible for leading the strategy and delivery of ... Own commercial data governance anda single sourceof truth across core datasets, including CRM, ...

The Canada Life Assurance Company

Business Analyst

London, ON

CA$60K - CA$89K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Experience in working with data analytics tools (SQL, Python, R) considered an asset * Strong written and verbal communication skills * Business Analyst certification an asset. * As this position is ...

AXIS Capital

Associate Data Architect

London, ON

  • Medical

  • Retirement

  • PTO

Data and analytics are of critical importance for AXIS. Simply put, we want to turn data into information, that can be used to: * Enable decisions to be made with confidence, based on information not ...

McLean & Company

Analyst, Program Delivery

London, ON · Remote

Are you a detail-oriented problem solver who enjoys working with data? Do you thrive in a fast ... Bachelor's degree in business, analytics, or a related field McLean & Company, a division of Info ...

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Showing results 1-20

All JobsData Analytics JobsData Analytics Jobs in London, ON

Data Analytics information

See London, ON salary details

$37.1K

$87.1K

$132.1K

How much do data analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analytics in London, ON is $87,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,284.00 and $108,327.00 per year, depending on experience, location, and employer.

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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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 are the most commonly searched types of Data Analytics jobs in London, ON?

The most popular types of Data Analytics jobs in London, ON are:

What are popular job titles related to Data Analytics jobs in London, ON?

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

What job categories do people searching Data Analytics jobs in London, ON look for?

The top searched job categories for Data Analytics jobs in London, ON are:

What cities near London, ON are hiring for Data Analytics jobs?

Cities near London, ON with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in London, ON as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,083 per year, or $41.9 per hour.

Senior Data Scientist (Applied AI & Analytics)

ITPS (Canada) LTD

London, ON • On-site

CA$110K - CA$150K/yr

Full-time

Re-posted 10 days ago

Job description

Job Title: Senior Data Scientist (Applied AI & Analytics)

Location: London, ON / North Bay, ON (Hybrid)
Employment Type: 2-Year Contract (with option to extend)
Salary Range: $110,000 – $150,000 CAD (commensurate with experience)
Relocation Support: Moving allowance available


About ITPS

International Test Pilots School (ITPS Canada Ltd.) is a globally recognized aerospace training organization specializing in advanced flight training, flight test education, and tactical aviation programs. ITPS works with military organizations, government agencies, and aerospace companies worldwide to deliver high-performance training solutions supported by modern aircraft, simulation systems, and evolving data-driven methodologies.

As part of its continued investment in innovation, ITPS is expanding its capabilities in data analytics, artificial intelligence, and advanced training technologies.


Role Overview

ITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&D initiative. This role will focus on transforming complex, multi-source operational data into structured insights, performance metrics, and scalable analytical tools.

The successful candidate will play a key role in shaping the technical direction of the project, developing data models, and establishing best practices for data processing, analysis, and integration. This individual will also support the future build-out of a data team.


Key Responsibilities

  • Lead the design and development of data processing pipelines for complex, multi-source datasets
  • Develop methodologies to extract meaningful insights from time-series and high-frequency data
  • Design and implement statistical models and machine learning approaches where appropriate
  • Structure and integrate diverse data sources into unified analytical frameworks
  • Define key metrics, features, and indicators for performance analysis
  • Collaborate with subject matter experts to translate operational concepts into measurable outputs
  • Ensure data quality, consistency, and reliability across datasets
  • Support visualization and reporting of analytical results
  • Establish best practices for data management, documentation, and reproducibility
  • Contribute to technical planning and project execution
  • Participate in hiring and mentoring of junior data team members as the project expands


Required Qualifications & Experience

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
  • 5+ years of experience in applied data science or analytics roles
  • Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)
  • Experience working with time-series data and large, complex datasets
  • Strong data wrangling, preprocessing, and feature engineering skills
  • Experience developing and deploying analytical models in real-world environments
  • Solid understanding of statistical methods and data analysis techniques
  • Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)
  • Ability to work independently and translate ambiguous problems into structured solutions


Preferred Qualifications

  • Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
  • Experience in aerospace, defense, simulation, or human performance analytics
  • Familiarity with machine learning model development and evaluation
  • Experience with data architecture, pipelines, and cloud-based tools
  • Prior experience in R&D or applied innovation environments


What We’re Looking For

  • Strong problem-solving ability and practical mindset
  • Ability to work with incomplete or evolving datasets
  • Comfortable operating in an applied, hands-on environment
  • Strong communication skills and ability to work with non-technical stakeholders
  • Interest in building new capabilities from the ground up


Compensation & Benefits

  • Competitive salary based on experience ($110,000 – $150,000 CAD)
  • Moving allowance available for qualified candidates
  • Opportunity to work on a high-impact, technically challenging project
  • Potential for contract extension based on project success and business needs


Why Join ITPS

This is a unique opportunity to work at the intersection of aerospace, data, and advanced analytics within a globally recognized organization. The role offers the chance to build foundational capabilities, work with highly specialized data, and contribute to the development of next-generation training technologies.


AI Disclosure: We do not use AI to evaluate applicants or make decisions during the interview process. All candidate assessments and hiring decisions are made by our recruitment and leadership teams.