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Data Analyst Jobs in London, ON (NOW HIRING)

CarePartners

Senior Data Analyst

London, ON

CA$80K - CA$95K/yr

The Senior Data Analyst will work with key business leaders to identify, develop and deliver relevant data, reports and dashboards to support day to day, historical and future operations. This role ...

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Data Analyst information

See London, ON salary details

$10

$29

$51

How much do data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analyst in London, ON is $29.48, according to ZipRecruiter salary data. Most workers in this role earn between $21.16 and $35.27 per hour, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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What are the most commonly searched types of Data Analyst jobs in London, ON?

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

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

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst 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 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $61,315 per year, or $29.5 per hour.

Senior Data Analyst

The Canada Life Assurance Company

London, ON • On-site

CA$80K - CA$130K/yr

Full-time

Medical, Dental, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Permanent Full Time 

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We are looking for Senior Analysts to join Canada Life's Business Enablement, Data Analytics & Reporting team. We are currently hiring for multiple Senior Data Analyst roles and are seeking candidates with experience across one or more of the following skill sets:

We're hiring for experience in the following areas:

  • Senior BI Analyst - Core BI delivery focused on requirements, KPI definition, analysis, and Power BI reporting using curated datasets
  • Senior BI Specialist - Endtoend delivery specialists combining advanced Power BI development with strong dataengineering capability, owning solutions from discovery through build, validation, and rollout
  • Senior Data Foundation Analyst - Dataengineering-focused role responsible for building, enriching, and governing data pipelines and datasets that enable downstream BI and analytics

As a Senior Analyst you will join Canada Life's Business Enablement, Data Analytics and Reporting team. In this role you will support all Canada Operations and Business Enablement teams with the ideation, development, implementation, and maintenance of analytics solutions ranging from descriptive and diagnostic to predictive.

The Senior Analyst, Data & Analytics is a data subject matter expert enhancing decision making, monitoring business performance, providing actionable insight, and driving operational efficiencies using advanced analytics and statistical techniques.

In this role, you will model, analyze, and predict complex business processes. You will translate business requirements into data, reporting, and analytics projects, which you will oversee and support throughout their entire lifecycle.

What you will do

  • Translate business needs into data requirements; collect, integrate, clean, model, and analyze large datasets; and visualize and present insights to business leaders
  • Build, implement and maintain data models, custom reports, and dashboards
  • Use Azure Databricks and advanced SQL to transform and model data, and Power BI to deliver governed, insightdriven reporting and analytics solutions
  • Work with large datasets that are not consistent, clean, or fully modelled
  • Apply strong communication, influence, and strategic thinking to shape analytics solutions and drive business decisions
  • Define, implement, and monitor metrics and KPIs and ensure ongoing strategic alignment with short and long-term business objectives
  • Enable effective, efficient working relationships with business partners
  • Work closely with senior leaders to understand business drivers and enable them to make decisions based on data
  • Oversee and support projects throughout the entire analytics lifecycle
  • Assist the business in the ideation of new analytics initiatives ranging from descriptive, diagnostic, predictive to prescriptive
  • Present and communicate insights and recommendations in a visual and simplified manner
  • Retrieve, integrate, and transform data from multiple systems using SQL, Python, and other scripting languages

What you will bring

  • 3-5 years of relevant experience and a master's degree in related field of study, or an equivalent combination of bachelor's degree and extensive related experience
  • Strong experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualization tools (Power BI) with demonstrated experience at creating interactive dashboards
  • Ability to write complex and efficient SQL and Python queries to extract, integrate and transform data from multiple sources and automate data pipelines
  • Advanced skills in Power BI, Data Modeling, Power Query, and DAX
  • Microsoft Power BI Data Analyst (PL300) certification preferred
  • Strong experience working with raw data and manipulating large datasets
  • Subject matter expertise in data analytics and statistical modelling
  • Polished communication and presentation skills to audiences including senior leadership
  • Strong analytical skills for problem solving and to monetize value for the organization
  • Ability to work with little to no documentation or instruction
  • Think outside the box and identify solutions to overcome obstacles
  • Proven ability to learn and handle multiple priorities in a challenging work environment
  • Experience within the Financial Services sector would be an asset
  • Reliability Status Security Clearance - this can only be completed with candidates who receive an offer of employment. This is a personal security status that is required as a condition of employment before an employee can gain access to Protected B information, assets or work sites as outlined by the Government of Canada  website.  The cost of submitting these checks will be covered by Canada Life.
     

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The base salary for this position is between $80,400 - $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life 

We're united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.  

We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you! 

What we offer:  

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member: 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement. 
  • Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. 
  • Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
  • Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options. 
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!  
  • Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.  

Learn more about Canada Life.  

We're committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact  talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.  

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted. 

#LI-Hybrid 

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