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Insurance Data Analytics Jobs in Calgary, AB (NOW HIRING)

... external market salary data, internal pay equity and the knowledge, skills, experience and ... About The Wawanesa Mutual Insurance Company Founded in 1896, The Wawanesa Mutual Insurance Company ...

Experience with pension plan and group insurance Soft skills * Capable of communicating in ... Detailed oriented, analytical and problem-solving aptitude * Proactive, strong-minded, quick ...

What you will do You will assist in investigations, quantification of damages, fraud risk management, litigation support, data analytics support, insurance claims quantification and similar ...

Senior Solution Analyst

Calgary, AB ยท Hybrid

CA$90K - CA$120K/yr

... external market salary data, internal pay equity and the knowledge, skills, experience and ... About The Wawanesa Mutual Insurance Company Founded in 1896, The Wawanesa Mutual Insurance Company ...

... Data Analytics, or a related field. * Minimum of 2 years of experience gathering business ... Life insurance * Disability benefits * Employee family assistance * Virtual healthcare coverage Our ...

Stay abreast of industry trends, emerging technologies, and best practices in data analytics and ... Life Insurance Voluntary Optional Insurance Parental Leave Plan Company Pension Plan Group RRSP ...

... insurer engagement, and cost-of-risk optimization * Develops enterprise risk intelligence by synthesizing claims data, analytics, and industry insights to deliver predictive reporting and executive ...

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Showing results 1-20

Insurance Data Analytics information

See Calgary, AB salary details

$21K

$82.2K

$169.5K

How much do insurance data analytics jobs pay per year?

As of Aug 4, 2026, the average yearly pay for insurance data analytics in Calgary, AB is $82,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Calgary, AB? The most popular types of Insurance Data Analytics jobs in Calgary, AB are:
What job categories do people searching Insurance Data Analytics jobs in Calgary, AB look for? The top searched job categories for Insurance Data Analytics jobs in Calgary, AB are:
Infographic showing various Insurance Data Analytics job openings in Calgary, AB as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $82,200 per year, or $39.5 per hour.

Senior Manager, Data Analytics & Automation-Data Modernization

KPMG

Calgary, AB โ€ข On-site

Full-time

Re-posted 20 hours ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canadaโ€™s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

KPMGโ€™s Management Consulting practice helps organizationsย leverageย change.ย The Data, Analytics and Automation team helps organizations unlock value from data and AI by enabling data-informed decision-making through strategy, governance, and operating model design in complex enterprise environments.ย 

We help organizationsย toย becomeย data driven! Will you collaborate with us?ย ย 

Our Teamย 
As aย Seniorย Manager in Data, Analytics and Automation, you will be a part of our Technology Consulting (Data, Analytics and Automation) practice within KPMG. This is a worldwide network of professionals who collaborateย on a daily basisย to create value from data. Enterprise Data Management integrates and is the connecting link with other data focused advisory services including Business Intelligence, Advanced Analytics, Digital Transformation, Enterprise Solutions and Data Security. We collaborate across service offerings on data driven solutions. And that is why Forrester Research has recently recognized KPMG as one of the most prominent advisory firms in Data & Analytics!ย 

The successful candidate will leadย data modernization strategy and transformation engagements, helping organizations define how data is governed, managed, andย leveragedย as a strategic asset.ย 

This role focuses onย strategy, design, and advisory. You will work closely with executive stakeholders to define data visions, operating models, and governance frameworks that enable scalable and sustainable data capabilities.ย 


What you will do
  • Lead the development of enterpriseย data strategies, roadmaps, and transformation plansย ย 
  • Define and designย data operating modelsย (e.g., federated, domain-based, data product-oriented)ย ย 
  • Establishย data governance frameworks, including ownership models, stewardship structures, and decision rightsย ย 
  • Designย data management capabilitiesย including metadata, lineage, data quality, and master data managementย ย 
  • Advise onย data platform modernizationย (e.g., Databricks, cloud ecosystems) at a strategic and architectural levelย ย 
  • Facilitate executive workshops to align onย data vision, priorities, and investment casesย ย 
  • Defineย data product strategiesย and support domain-oriented data ownership modelsย ย 
  • Ensure alignment betweenย businessย objectivesย and data capabilitiesย ย 
  • Provide thought leadership onย regulatory and risk considerationsย (e.g., privacy, financial reporting, data controls)ย ย 
  • Lead stakeholder engagement and communicate complex data concepts to business and technical audiencesย ย 
  • Support the development of newย data advisory offerings and go-to-market strategiesย ย 
  • Mentor and develop team members across data strategy, governance, and transformationย 

What you bring to the role
  • University degree in computer science, information management, business administration, or a related fieldย ย 
  • 10+ years of experience in data strategy, data governance, or enterprise data managementย in a consulting roleย 
  • Proven experience leadingย data transformation or modernization initiativesย ย 
  • Strong understanding ofย data governance frameworks, operating models, and data management practicesย ย 
  • Experience advising on modern data platforms (e.g., Databricks, Snowflake, cloud ecosystems) at a conceptual levelย ย 
  • Strong ability to engage and influenceย senior stakeholders and executivesย ย 
  • Excellent communication skills with the ability to translate complex data concepts into business valueย ย 
  • Experience in financial services or insurance is considered an assetย ย 
  • Familiarity with regulatory environments (e.g., data privacy, financial reporting) is considered an assetย 
  • DCAM or DAMA certification is considered an assetย 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right |ย Excellence, we never stop learning and improving |ย Courage, we think and act boldly | Together, we respect each other and draw strength from our differences |ย For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMGโ€™s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMGโ€™s Trusted AI framework.

We believe technology should empower human judgment, not replace it. Itโ€™s one of the many ways weโ€™re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • University degree in computer science, information management, business administration, or a related fieldย ย 
  • 10+ years of experience in data strategy, data governance, or enterprise data managementย in a consulting roleย 
  • Proven experience leadingย data transformation or modernization initiativesย ย 
  • Strong understanding ofย data governance frameworks, operating models, and data management practicesย ย 
  • Experience advising on modern data platforms (e.g., Databricks, Snowflake, cloud ecosystems) at a conceptual levelย ย 
  • Strong ability to engage and influenceย senior stakeholders and executivesย ย 
  • Excellent communication skills with the ability to translate complex data concepts into business valueย ย 
  • Experience in financial services or insurance is considered an assetย ย 
  • Familiarity with regulatory environments (e.g., data privacy, financial reporting) is considered an assetย 
  • DCAM or DAMA certification is considered an assetย 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME