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Data Analytics Jobs in Manitoba (NOW HIRING)

Data Analytics * Business Analytics * Mathematics * Statistics * Computer Science or related analytical discipline * Master's degree preferred. Experience * Experience working with operational ...

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 ...

The HR Analytics team, in collaboration with the BES Enterprise Analytics and HR Technology teams ... Support HR data governance and data management practices, ensuring the integrity, quality, privacy ...

Posted today

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 ...

Diploma, degree, or formal training in Finance, Accounting, Business Administration, Data Analytics, or a related field, or an equivalent combination of education and relevant work experience.

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 ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

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Showing results 1-20

Data Analytics information

See Manitoba salary details

$43K

$100.9K

$153K

How much do data analytics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analytics in Manitoba is $100,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

What are popular job titles related to Data Analytics jobs in Manitoba?

For Data Analytics jobs in Manitoba, the most frequently searched job titles are:

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

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

What cities in Manitoba are hiring for Data Analytics jobs?

Cities in Manitoba with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Manitoba as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $100,887 per year, or $48.5 per hour.

CA$80K - CA$130K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 12 hours ago

Posted today


Job description

Permanent Full Time 

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We are looking for Senior Analysts to join Canada Life's Business Enablement, Data Analytics & Reporting team. We are currently hiring for multiple Senior Data Analyst roles and are seeking candidates with experience across one or more of the following skill sets:

We're hiring for experience in the following areas:

  • Senior BI Analyst - Core BI delivery focused on requirements, KPI definition, analysis, and Power BI reporting using curated datasets
  • Senior BI Specialist - Endtoend delivery specialists combining advanced Power BI development with strong dataengineering capability, owning solutions from discovery through build, validation, and rollout
  • Senior Data Foundation Analyst - Dataengineering-focused role responsible for building, enriching, and governing data pipelines and datasets that enable downstream BI and analytics

As a Senior Analyst you will join Canada Life's Business Enablement, Data Analytics and Reporting team. In this role you will support all Canada Operations and Business Enablement teams with the ideation, development, implementation, and maintenance of analytics solutions ranging from descriptive and diagnostic to predictive.

The Senior Analyst, Data & Analytics is a data subject matter expert enhancing decision making, monitoring business performance, providing actionable insight, and driving operational efficiencies using advanced analytics and statistical techniques.

In this role, you will model, analyze, and predict complex business processes. You will translate business requirements into data, reporting, and analytics projects, which you will oversee and support throughout their entire lifecycle.

What you will do

  • Translate business needs into data requirements; collect, integrate, clean, model, and analyze large datasets; and visualize and present insights to business leaders
  • Build, implement and maintain data models, custom reports, and dashboards
  • Use Azure Databricks and advanced SQL to transform and model data, and Power BI to deliver governed, insightdriven reporting and analytics solutions
  • Work with large datasets that are not consistent, clean, or fully modelled
  • Apply strong communication, influence, and strategic thinking to shape analytics solutions and drive business decisions
  • Define, implement, and monitor metrics and KPIs and ensure ongoing strategic alignment with short and long-term business objectives
  • Enable effective, efficient working relationships with business partners
  • Work closely with senior leaders to understand business drivers and enable them to make decisions based on data
  • Oversee and support projects throughout the entire analytics lifecycle
  • Assist the business in the ideation of new analytics initiatives ranging from descriptive, diagnostic, predictive to prescriptive
  • Present and communicate insights and recommendations in a visual and simplified manner
  • Retrieve, integrate, and transform data from multiple systems using SQL, Python, and other scripting languages

What you will bring

  • 3-5 years of relevant experience and a master's degree in related field of study, or an equivalent combination of bachelor's degree and extensive related experience
  • Strong experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualization tools (Power BI) with demonstrated experience at creating interactive dashboards
  • Ability to write complex and efficient SQL and Python queries to extract, integrate and transform data from multiple sources and automate data pipelines
  • Advanced skills in Power BI, Data Modeling, Power Query, and DAX
  • Microsoft Power BI Data Analyst (PL300) certification preferred
  • Strong experience working with raw data and manipulating large datasets
  • Subject matter expertise in data analytics and statistical modelling
  • Polished communication and presentation skills to audiences including senior leadership
  • Strong analytical skills for problem solving and to monetize value for the organization
  • Ability to work with little to no documentation or instruction
  • Think outside the box and identify solutions to overcome obstacles
  • Proven ability to learn and handle multiple priorities in a challenging work environment
  • Experience within the Financial Services sector would be an asset
  • Reliability Status Security Clearance - this can only be completed with candidates who receive an offer of employment. This is a personal security status that is required as a condition of employment before an employee can gain access to Protected B information, assets or work sites as outlined by the Government of Canada  website.  The cost of submitting these checks will be covered by Canada Life.
     

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The base salary for this position is between $80,400 - $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life 

We're united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.  

We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you! 

What we offer:  

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member: 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement. 
  • Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. 
  • Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
  • Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options. 
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!  
  • Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.  

Learn more about Canada Life.  

We're committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact  talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.  

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted. 

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