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

Senior Architect - Data & AI

Calgary, AB · Hybrid

CA$115K - CA$160K/yr

About The Wawanesa Mutual Insurance Company Founded in 1896, The Wawanesa Mutual Insurance Company ... Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation ...

We are a leading North American insurance brokerage that advises businesses and individuals on how ... As the Data Scientist , you are the technical engine of a small, high-leverage analytics function.

Solution Analyst II

Calgary, AB · Hybrid

CA$80K - CA$100K/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 ...

... 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 using AI-enabled or data analytics tools preferred. We acknowledge the value of ... Life insurance * Disability benefits * Employee family assistance * Virtual healthcare coverage Our ...

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 ...

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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 31, 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 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 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.

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.

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.

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:

Infographic showing various Insurance Data Analytics job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $82,200 per year, or $39.5 per hour.

Data Migration & Automation Developer

Modular Solutions

Calgary, AB

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago


Job description

About Modular Solutions

Founded in 2015, Modular Solutions delivers enterprise-grade technology to the insurance industry. Our configurable platform helps insurers, mutuals, MGAs, and brokers manage core operations through a single system designed for flexibility, long-term growth, and complex regulated environments.

Position Summary

Modular Solutions is seeking a Data Migration & Automation Developer to support client data migration, conversion, BI, and implementation projects. This developer-oriented role sits within our Data team and focuses on moving data from source platforms, files, spreadsheets, and custom systems into one clean target state in Modular's platform.


The ideal candidate is strong with SQL, ETL/ELT, BI, semantic models, scripting, data quality, and migration patterns. They should know how to clean, transform, validate, reconcile, and document data effectively while helping improve and extend our existing migration system.

Strong AI capability is a core requirement. We are looking for someone who understands modern AI-assisted and agentic development workflows and can apply them responsibly to migration and BI work, including source analysis, semantic modeling, report/data-model review, mapping, scripting, validation, documentation, and automation. This role is well suited for someone who enjoys working with data, solving technical problems, identifying inconsistencies, and collaborating with both technical and business teams.

Key Responsibilities

  • Support client data migration, conversion, BI, and implementation projects as a developer-oriented member of the Data team.
  • Extract, clean, transform, map, reconcile, and load data from multiple source platforms, spreadsheets, files, and custom systems into a single, consistent target model.
  • Analyze source data to identify gaps, inconsistencies, duplicates, missing relationships, formatting issues, and other data quality concerns.
  • Write and maintain SQL queries, scripts, migration utilities, data mapping documentation, conversion rules, validation logic, migration notes, and runbooks.
  • Improve and extend our existing migration system, including ETL/ELT patterns, conversion tools, templates, validation checks, semantic-model patterns, BI workflows, and quality-control processes.
  • Use AI-assisted and agentic development workflows to accelerate source analysis, semantic-model design, BI/reporting review, SQL/script generation, documentation, validation, and internal automation while maintaining strong human review.
  • Support test conversions, mock migrations, production migration activities, reporting, reconciliation, and post-migration validation against source systems, business requirements, and expected platform outcomes.
  • Collaborate with Data, Development, Product, Implementation, and business stakeholders to understand data requirements, clarify business rules, resolve defects or conversion gaps, and communicate progress, risks, and dependencies.

Required Qualifications

  • A degree, diploma, or certificate in Computer Science, Data Science, Software Development, Information Systems, or a related field, or equivalent professional experience.
  • 3+ years of experience with data migration, data conversion, BI/reporting, semantic models, ETL/ELT, database development, data analysis, implementation projects, or software development.
  • Strong SQL skills and experience with PostgreSQL and analytical data platforms such as Snowflake.
  • Strong understanding of data cleansing, transformation, mapping, validation, reconciliation, and migration from many source platforms and data formats into a clean, reusable target state.
  • Experience using scripting or programming languages such as C#, Python, PowerShell, TypeScript, or similar tools to automate data, reporting, semantic-layer, or migration workflows.
  • Hands-on experience with BI tooling, semantic models, governed metrics, reusable reporting models, and reporting assets that can be reviewed, versioned, tested, or automated.
  • Demonstrated experience with modern AI-assisted and agentic development workflows for coding, scripting, analysis, documentation, BI/reporting work, validation, or automation.
  • Strong analytical, communication, and problem-solving skills, with high attention to detail and the judgment to validate AI-generated code, SQL, mappings, summaries, and analysis before use in client-facing or production migration work.
  • Ability to read and interpret business rules, technical documentation, data layouts, and mapping specifications while managing competing priorities during migration projects.


Preferred Qualifications

  • Insurance data experience, especially policy, billing, claims, broker, customer, coverage, risk, or transaction data.
  • Experience converting data from insurance systems, policy administration systems, spreadsheets, custom-built tools, or other business data sources.
  • Experience with ETL/ELT tools, APIs, internal tooling, automation frameworks, BI tooling, semantic-model tooling, migration utilities, cloud-hosted environments, Agile delivery tools, or implementation/onboarding projects.
  • Snowflake experience is a major asset.
  • Power BI, Microsoft Fabric, or similar BI platform experience is a strong asset, especially where reports, models, and metrics are structured, reviewable, or source-controlled.
  • Experience using agents or automation to improve BI workflows, such as reviewing reporting logic, validating models, documenting semantic layers, or creating quality checks.

Our Technology Stack and Architecture:

Our core platform uses C#/.NET, Entity Framework, PostgreSQL, React, TypeScript, and Azure. This role works closely with product engineering teams on system logic, database structures, APIs, and platform requirements related to migration, BI, data quality, and automation workflows.

Why Join Modular Solutions?

We are building a long-term platform in a complex industry where customers depend on accurate data every day. You will help expand our migration system and make migration and BI work cleaner, faster, and more AI-enabled as we grow. We value autonomy, accountability, strong technical judgment, and people who take pride in building production-grade systems the right way.

What We Offer

  • Be part of a growing company building a modern, enterprise-grade platform for the insurance industry.
  • Work alongside experienced insurance and technology professionals in a collaborative environment.
  • Flexible remote work environment, with a preference for Alberta-based team members, and periodic in-person planning sessions and team events.
  • Extended health, dental, and vision benefits.
  • Access to an Employee and Family Assistance Program.
  • Annual professional development allowance.
  • Additional paid time off beyond standard statutory holidays and vacation.
  • Recognition for meaningful contributions and career milestones.
  • Share Appreciation Rights program so you participate in the company's long-term success.


To Apply:

Please submit your resume and a brief cover letter outlining your relevant experience and what excites you about this opportunity. We thank all applicants for their interest; only those selected for an interview will be contacted.