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Data Analyst Jobs in Manitoba (NOW HIRING)

Data Analyst

Winnipeg, MB · On-site

  • Retirement

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 ...

Education in Data Science, Statistics, or Business Analytics. * Understanding of catalog data, cross-referencing, and product identification. * Experience with ERP systems and product data management ...

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 ...

Pension Analyst

Winnipeg, MB · On-site

  • Retirement

Quality control of year-end data input and verification of program output, including Annual Benefit ... Strong analytical, mathematical, and problem-solving skills. * Proficient working knowledge of ...

Pension Analyst

Winnipeg, MB · On-site

  • Retirement

Quality control of year-end data input and verification of program output, including Annual Benefit ... Strong analytical, mathematical, and problem-solving skills. * Proficient working knowledge of ...

Data Analyst information

See Manitoba salary details

$12

$34

$59

How much do data analyst jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analyst in Manitoba is $34.15, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $40.87 per hour, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the most commonly searched types of Data Analyst jobs in Manitoba?

The most popular types of Data Analyst jobs in Manitoba are:

What job categories do people searching Data Analyst jobs in Manitoba look for?

The top searched job categories for Data Analyst jobs in Manitoba are:

What cities in Manitoba are hiring for Data Analyst jobs?

Cities in Manitoba with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Manitoba as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $71,034 per year, or $34.2 per hour.

Data Analyst

HUB

Winnipeg, MB • On-site

Full-time

Retirement

Posted 12 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

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