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

Includes CO data retrieved from/going to external applications * Understanding of sell price ... program, pet insurance, footwear & workwear, fitness membership, perkopolis, and more.

We collaborate with IT and other system teams to integrate and align data across our platforms ... Competitive, equitable salary with top-tier health benefits, dental, and vision insurance * Hybrid ...

Identify customer needs and market trends through research and data analysis. * Assess market ... Life Insurance * Paid Time Off * Potential Equity or Stock Option Plan * Training & Development ...

Identify customer needs and market trends through research and data analysis. * Assess market ... Life Insurance * Paid Time Off * Potential Equity or Stock Option Plan * Training & Development ...

Prepare reports, conduct audits, and analyze benefit and disability-related data to support plan ... Knowledge of pension administration and group insurance programs. About Calgary Co-op www ...

We collaborate with IT and other system teams to integrate EPM data across platforms. What you'll ... Competitive, equitable salary with top-tier health benefits, dental, and vision insurance * Hybrid ...

Life, AD&D and disability insurance * Paid parental leave and family care support * Health and ... data-driven decision-making. * Understanding of business process mapping and requirements ...

Advisor IT Application Services

Calgary, AB · On-site +1

CA$85K - CA$110K/yr

Familiarity with SQL, BIRT, or other reporting and data analysis tools. * ITIL awareness or ... insurance and disability. * A paid maternity and parental leave benefit that offers up to 20 weeks ...

Showing results 41-60

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 Jul 27, 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 the Insurance Data Analytics position, and why are they important?

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

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.
Data Center - Principal Process Engineer

Data Center - Principal Process Engineer

H2O Innovation Inc.

Calgary, AB • On-site

CA$110K - CA$120K/yr

Full-time

Dental, Vision, PTO

Posted 6 days ago


H2O Innovation rating

7.5

Company rating: 7.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

264th of 486 rated machine equipment manufacturers


Job description

H2O is a smart water treatment solutions company. We simplify water treatment by integrating state-of-the-art technologies to solve water challenges for good with our team of trusted experts. Our mission is to provide services on an international scale, in a people-oriented, caring environment that fosters professional and personal growth. Be part of our talent pool and grow with H2O.

H2O innovation is looking for Senior Process Engineer anywhere in North America! This professionnal will be in charge of the process design throughout the entire lifecycle of projects, from the initial budgetary bids all the way to commissioning of full-scale facilities. Technologies for these projects include multimedia filters, activated carbon, ultrafiltration, reverse osmosis, Ion Exchange, Ultraviolet and electrodeionization. While knowledge in all technologies is not required, familiarity with several technologies is an asset for the position.
The Benefits

Overall remuneration including:

  • Profit sharing program;
  • Group Insurance plan including dental, vision & telemedicine;
  • RRSP plan with employer's contribution;
  • A minimum of three (3) weeks of paid vacation per year;
  • Twelve (12) paid wellness days per year.
  • Flexible working hours & hybrid working;

The Day-to-Day

  • Perform preliminary design of water treatment plants based on membrane projections and other accepted calculations in accordance with established criteria;
  • Collaborate closely with sales managers and engineering discipline teams;
  • Prepare budget, preliminary and final (bid) cost estimates including bill of materials, equipment, and controls;
  • Prepare formal proposals for submittal to potential clients;
  • Develop drawings of equipment and plant playouts as requested and oversee designers;
  • Create process drawings such as P&IDs and PFDs;
  • Select equipment (pumps, valves, membranes, etc.);
  • Develop and present technical presentations/papers on in-house projects to promote Company and water technologies at conferences and clients meetings;
  • Continuous investigation into improving design of current equipment and treatment processes, and development or acquisition of new equipment or processes to complement existing portfolio;
  • Prepare engineering documents such as functional descriptions, process control narratives, etc.;
  • Maintain an excellent working knowledge of state, provincial and federal regulations, as well as current design processes;
  • Maintain contact with current installations to obtain performance, operation and maintenance data and provide operational assistance as requested;
  • Maintain records of actual costs and provide comparison and analysis of discrepancies between estimated and actual costs;
  • Advance the development of standard treatment packages for UF and NF/RO systems;
  • Travel to project sites and perform treatment process audits;
  • Other duties as assigned.

The Skills We Are Looking for

  • A degree in chemical, environmental, civil or mechanical engineering or equivalent;
  • Minimum 10 years experience as a process engineer in the water industry;
  • Experience with membrane filtration treatment
  • The ability to work efficiently on multiple assignments simultaneously;
  • Excellent written and oral communication skills in English;
  • Experience with Ion Exchange (IE), an asset;
  • Knowledge of drinking and wastewater treatment, an asset.


What H2O Innovation employees say

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