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Data Analysis Manager Jobs in Calgary, AB (NOW HIRING)

Build interactive Power BI dashboards that make analytical output usable by branch managers, regional leadership, and corporate executives. * Develop reusable Power BI templates and data structures ...

... analysis and commissioning, asset management and analyticsand advisory services. BBA has a new ... BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ...

... for his data centers in AWS Cloud region. They are self-managed individuals who demonstrate ... analysis and troubleshooting/problem solving skills. - Respond to out-of-hours emergency calls ...

Minimum six years of experience in data science, analytics, economics, finance,corporate and commercial credit rating, risk management, credit risk modelling, credit portfoliomanagementor information ...

Manager - Hydrogeology

Calgary, AB · On-site +1

CA$120K - CA$180K/yr

Manager - Hydrogeology Vancouver, BC; Calgary, AB; Saskatoon, SK; Toronto, ON; Remote - Regular ... Technical communications of groundwater data including data analysis and report writing. * Study ...

Product Manager

Calgary, AB · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... Manager to lead the development and growth of our product offerings. In this role, you will be ... Identify customer needs and market trends through research and data analysis. * Assess market ...

Product Manager

Calgary, AB · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... Manager to lead the development and growth of our product offerings. In this role, you will be ... Identify customer needs and market trends through research and data analysis. * Assess market ...

Showing results 41-60

Data Analysis Manager information

See Calgary, AB salary details

$20K

$87K

$146.5K

How much do data analysis manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analysis manager in Calgary, AB is $87,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $110,500.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Calgary, AB?

The most popular types of Data Analysis jobs in Calgary, AB are:

What are popular job titles related to Data Analysis Manager jobs in Calgary, AB?

For Data Analysis Manager jobs in Calgary, AB, the most frequently searched job titles are:

Infographic showing various Data Analysis Manager job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $87,044 per year, or $41.8 per hour.

Data Migration & Automation Developer

Modular Solutions

Calgary, AB

Full-time

Medical, Dental, Vision, PTO

Re-posted 20 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.