ZipRecruiter

Log In

1

Data Analytics Jobs in London, ON (NOW HIRING)

CarePartners

Senior Data Analyst

London, ON

CA$80K - CA$95K/yr

... 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 · On-site

CA$80K - CA$95K/yr

... 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 · On-site

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

Alimentiv

Clinical Data Analyst

London, ON · Remote

... analytics capabilities. This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This ...

Turo

Senior Data Analyst, Business Intelligence

London, ON · Hybrid

CA$114K - CA$143K/yr

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 ...

KPMG

Senior Manager, HR Analytics

London, ON · On-site

The HR Analytics team, in collaboration with the BES Enterprise Analytics and HR Technology teams ... Support HR data governance and data management practices, ensuring the integrity, quality, privacy ...

Vanier

Manager of Quality & Data

London, ON · On-site

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

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, ...

AXIS Capital

Associate Data Architect

London, ON

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 ...

next page

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 23, 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 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 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, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $87,083 per year, or $41.9 per hour.

Analyst, Data Analytics- Retail Financing (Fixed Term Contract)

Fairstone

London, ON

Full-time

Re-posted 4 days ago

Job description

Who we are:

Fairstone Bank and its family of brands are united in delivering innovative, accessible and reliable financial solutions that enable Canadians to reach their goals. Over the years, our brand family has grown. In 2024, Home Trust Company, Home Bank and Oaken Financial became part of the Fairstone Bank family of brands, alongside Fairstone, EdenPark and Fig.

Together, we are the leading alternative lending bank in Canada. With a diverse suite of products-residential and commercial mortgages, consumer deposits and GICs, credit cards, retail and automobile financing, personal loans and digital lending-we offer financial solutions tailored to all Canadians, including newcomers, small-business owners, smart investors and savvy consumers.

About the role:

We are seeking a data-driven Reporting Analyst to drive product performance through rigorous experimentation, advanced analytics, predictive modeling, and scalable reporting. This role will focus on automation of key performance metrics, own the design and analysis of A/B tests, leverage A.I. to develop predictive models to anticipate user behavior and outcomes. Translate insights into actionable business insights and strategy.

What you'll do:

  • Develop/deploy interactive automated dashboards (e.g., QuickSight, Power BI - Tableau and asset)
  • Enable self-serve analytics through scalable data models and clear metric definitions
  • Conduct sensitivity analyses to assess portfolio impact and mitigate potential losses.
  • Support product strategy with data-driven insights and recommendations
  • Build scenario models (ex.: customer lifetime value) to evaluate growth strategies under varying risk conditions.
  • Analyze user behavior, funnels, cohorts, and feature adoption to identify opportunities
  • Translate business questions into analytical and statistical frameworks
  • Perform root cause analysis on product performance issues
  • Identifying growth initiatives using customer acquisition, credit score data, and approval strategies
  • Design, execute, and analyze A/B and multivariate tests across product features and user journeys
  • Partner with Product, Marketing, and Data Engineering, to prioritize and implement test roadmaps
  • Apply statistical and machine learning techniques to optimize credit decisioning and product performance.
  • Partner with Risk, Product, and Finance teams to align growth initiatives with credit policies and compliance requirements.
  • Present insights and recommendations to senior leadership in a clear, actionable manner.

What we're looking for:

  • 3+ years in growth analytics, credit risk, or financial services analytics.
  • Advanced proficiency in SQL, Python/R, and data visualization tools (Alteryx, Power BI - Tableau and asset)
  • Experience building and deploying A.I. driven models into production environments
  • Experience using credit products and risk frameworks in decision-making.
  • Background in machine learning models, optimization techniques and scenario modeling.
  • Strategic thinker with strong business and risk acumen.
  • Excellent communication and stakeholder management skills

What you'll love about working here:

  • Award-Winning Culture: We're proud to be recognized as a Great Place to Work Canada 2025 and one of Montreal's Top Employers 2025 by Canada's Top 100 Employers.
  • Work-Life Balance: Enjoy flexibility with our hybrid work model designed to support your lifestyle.
  • On-Site Fitness: Gym access at our London and Montreal offices.

What you can expect - pay & process:

  • Expected base salary range/hourly rate is $60,000 - 70,000.
  • This posting is for an existing temporary vacancy within our organization.
  • Artificial intelligence may be used in parts of the recruitment process.
  • All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire.

If what you read excites you, we'd like to hear from you! Please submit your application and we'll contact you if you become selected for first stages of the interview process.

Learn more: https://www.fairstone.ca/en/about/canadian-lender

Follow us on LinkedIn: https://www.linkedin.com/company/fairstone/mycompany/

If you have a preferred language for communication, please kindly inform us whether you prefer French or English on your application.

Fairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who view themselves as Aboriginals, members of visible minorities, and disabled are encouraged to apply in confidence.

Time Type:

Full timeJob Type:Temporary (Fixed Term)

Apply