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Data Analyst Data Science Jobs in Winnipeg, MB (NOW HIRING)

A background in Computer Science, Data Analytics, Information Systems, or a related field is considered an asset * Proficiency in VBA coding for automation and process improvement * Solid ...

Analyze legacy PHP applications with embedded SQL to understand system logic * Reverse engineer reports to identify data sources, dependencies, and requirements * Develop SQL queries and data ...

Data Scientist

Winnipeg, MB · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • PTO

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Data Scientist

Winnipeg, MB

$80K - $100K/yr

  • Medical

  • Dental

  • PTO

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Pension Analyst

Winnipeg, MB · On-site

  • Retirement

Quality control of year-end data input and verification of program output, including Annual Benefit ... Currently pursuing or recently completed a degree in Actuarial Science, Mathematics, Statistics ...

Environmental GIS and Data Specialist

Winnipeg, MB · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will work closely with environmental scientists, engineers, geoscientists, project managers ... Compile, import, organize, and standardize information received from field programs, analytical ...

Analyst, Program & Risk Sr

Winnipeg, MB

  • Medical

  • Vision

  • Life

  • Retirement

  • PTO

University or college degree in engineering, technologist, finance, or data science with a focus on cost analysis * Advanced proficiency in Microsoft Excel required, including experience with ...

Senior Data Engineer

Winnipeg, MB · On-site

  • Retirement

  • PTO

The Data & Analytics team is moving from a legacy reporting model to a modern data platform organization, one that powers embedded analytics, operational data products, and AI/ML capabilities across ...

Senior Architect - Data & AI

Winnipeg, MB · Hybrid

CA$115K - CA$160K/yr

  • Retirement

  • PTO

Business, Application, Data, and Technology. * Design and optimize cloud analytics solutions ... Bachelor's degree in computer science, in an analytical discipline or equivalent experience.

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Data Analyst Data Science information

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Winnipeg, MB?

For Data Analyst Data Science jobs in Winnipeg, MB, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Winnipeg, MB look for?

The top searched job categories for Data Analyst Data Science jobs in Winnipeg, MB are:

What cities near Winnipeg, MB are hiring for Data Analyst Data Science jobs?

Cities near Winnipeg, MB with the most Data Analyst Data Science job openings:

Infographic showing various Data Analyst Data Science job openings in Winnipeg, MB as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Full-time

Retirement

Posted 18 days ago


Job description

Ignite your potential. Impact what matters.

Hi, we're HUB - a network of doers with diverse stories and a shared goal to support our clients and communities. To do it, we believe in supporting each other, because great work happens when people come together, and that means building a team where anyone can spark an idea, and where everyone can make a difference. Where pushing ourselves forward helps us give more to others.

When you partner with us, you're at the center of a vast network of risk, insurance, employee benefits, retirement and wealth management specialists that bring clarity to a changing world with tailored solutions and unrelenting advocacy - so you're ready for tomorrow.

The Opportunity:

We are looking for a highly skilled Data Analyst with strong, hands-on experience in Applied Epic and Power BI to join our team. This role is central to maintaining, structuring, and leveraging data from Applied Epic to support operational decision-making, business performance tracking, and strategic initiatives across the organization. The successful candidate will take ownership of data quality metrics, build and maintain Power BI reporting infrastructure, develop Epic automation, and drive system efficiencies. Demonstrated expertise in Applied Epic's data structure and reporting capabilities, combined with advanced Power BI skills, is essential to success in this role. This is a great opportunity for someone who is detail-oriented, analytical, and excited about transforming insurance and brokerage data into actionable, visual business intelligence.

What You'll Do

  • Extract, analyze, and interpret data directly from Applied Epic, using advanced knowledge of its data structure, tables, and relationships to support business reporting and analytics

  • Design, build, and maintain Power BI dashboards, reports, and data visualizations that present KPIs and operational metrics to stakeholders at all levels of the organization

  • Develop and manage data models and ETL processes connecting Applied Epic to Power BI, ensuring scalable, reliable, and efficient reporting solutions

  • Build and maintain Epic automation (including VBA-based tools and scripts) to streamline data extraction, reduce manual processes, and improve system efficiency

  • Establish and enforce data quality and validation processes to ensure accuracy and consistency across all Applied Epic-sourced reports and downstream systems

  • Write and optimize queries (SQL and/or Epic-native reporting tools) to support ad hoc and recurring reporting needs

  • Partner with underwriting, finance, operations, and leadership teams to gather reporting requirements and translate them into effective Power BI solutions

  • Support projects involving the migration, integration, or optimization of Applied Epic data with other business platforms (e.g., finance systems, CRM, data warehouses)

  • Maintain documentation of data definitions, report logic, and dashboard structures to support long-term data governance

  • Stay current on Applied Epic updates/releases and Power BI features to continuously improve reporting capabilities

What We're Looking For

  • Required: Significant hands-on experience working directly within Applied Epic, specifically in data extraction, reporting, and analysis

  • Required: Strong, proven experience with Power BI, including DAX, Power Query, data modeling, and building interactive dashboards from scratch

  • Required: Proficiency in SQL and Power Query (other query languages an asset)

  • A background in Computer Science, Data Analytics, Information Systems, or a related field is considered an asset

  • Proficiency in VBA coding for automation and process improvement

  • Solid understanding of data modeling principles, particularly as they apply to reporting, dashboard integration, and Epic's underlying schema

  • Experience in the insurance or brokerage industry is a strong asset

  • Strong analytical and problem-solving skills, with a sharp eye for accuracy and detail

  • Excellent written and verbal communication skills, with the ability to present technical findings clearly to non-technical stakeholders

  • Comfortable working within Windows-based systems and standard business applications (Microsoft Office suite, etc.)

  • Ability to manage multiple priorities and projects independently in a fast-paced environment

Why Join HUB?

  • An exceptional, welcoming, and inclusive company culture

  • Excellent compensation, benefits, RRSP match, referral incentives, and company perks

  • Work flexibility

  • Paid educational training and vast learning opportunities

  • Room for advancement and growth within the organization

  • Paid day off for your birthday - we want to celebrate you!

  • Diversity, Inclusion and Community Groups to connect employees

What makes us different than all the rest?

Our Vision:To be everywhere risk exists - today and tomorrow. Helping protect what matters most.

Our Mission:To protect and support the aspirations of individuals, families, and businesses. To empower our employees to learn, grow and make a difference in their communities.

Our Core Values:

  • Entrepreneurship: We encourage innovation and educated risk-taking

  • Integrity: We do the right thing every time

  • Teamwork: We work together to maximize results

  • Accountability: We measure and take responsibility for outcomes

  • Service: We serve clients, communities, and colleagues

Ready to join HUB and build a career in a rapidly growing industry? Apply today!

Department Business OperationsRequired Experience: 2-5 years of relevant experienceRequired Travel: No Travel Required

We endeavor to make this website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the recruiting teamHUBRecruiting@hubinternational.com. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.