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Data Analysis Assistant Jobs in Alberta (NOW HIRING)

Identify trends, anomalies, and opportunities through data analysis and communicate findings to ... improvements. * Assist with troubleshooting reporting issues, data discrepancies, and system ...

... analytics solutions to our teams. Support consultants will work as part of the CDST to assist clients facing teams with data extraction, transformation, and load capabilities into our various audit ...

... analytics solutions to our teams. Support consultants will work as part of the CDST to assist clients facing teams with data extraction, transformation, and load capabilities into our various audit ...

Support cross functional stakeholders with scalable reporting architecture * Assist in high-priority analytics platform issues Who you are: * You are an expert in Power BI data modeling and Power BI ...

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Data Analysis Assistant information

See Alberta salary details

$11

$28

$63

How much do data analysis assistant jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data analysis assistant in Alberta is $28.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $35.10 per hour, depending on experience, location, and employer.

What does a data analysis assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

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

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What are some common challenges faced by data analysis assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.

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

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What are the most commonly searched types of Data Analysis jobs in Alberta?

The most popular types of Data Analysis jobs in Alberta are:

What are popular job titles related to Data Analysis Assistant jobs in Alberta?

For Data Analysis Assistant jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Analysis Assistant jobs in Alberta look for?

The top searched job categories for Data Analysis Assistant jobs in Alberta are:

What cities in Alberta are hiring for Data Analysis Assistant jobs?

Cities in Alberta with the most Data Analysis Assistant job openings:

Infographic showing various Data Analysis Assistant job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $58,824 per year, or $28.3 per hour.

Senior Manager, Data Analysis & Audit Productivity

KPMG

Lethbridge, AB โ€ข On-site

Full-time

Re-posted 20 days ago


Key responsibilities

  • Leverage Databricks to design, build, and maintain scalable data pipelines, automate data processing, and support advanced reporting and analytics initiatives across the audit practice.

  • Develop and manage workflow automation solutions using Microsoft Power Automate and PowerApps to reduce manual effort and improve process consistency.

  • Lead the development, maintenance, and support of dashboards and data mining solutions to monitor audit progress and support audit teams and leadership.


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canadaโ€™s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Your work matters. As part of our Audit & Assurance practice, youโ€™ll deliver highquality work that supports trust, transparency, and confidence across both public and private organizations. We foster an environment of high challenge, where curiosity and critical thinking are encouraged.ย  Through high support, including progressive learning, strong coaching, inclusive teamwork, and a shared commitment to integrity, we perform at our best โ€“ measuring what matters, recognizing impact, and continuously evolving to deliver excellence.ย  This creates a culture where the best work happens when high challenge and high support work together.ย  That balance is how our values show upโ€”in how we work, how we lead, and what we deliver.

We are looking for a Senior Manager of Data Analysis & Audit Productivity to join our Audit Center โ€“ Audit Technology and Transformation team.


What you will do
  • Leverage Databricks to design, build, and maintain scalable data pipelines, automate data processing, and support advanced reporting and analytics initiatives across the audit practice.
  • Utilize Microsoft Power Automate and PowerApps to develop workflow automation solutions, reducing manual effort, improving process consistency, and enhancing stakeholder experience.
  • Develop end-user dashboard solutions to aid our engagement teams in project managing their audits, and to assist leadership in their ability to centrally monitor audit progress nationally
  • Lead and manage the updates, maintenance, and support our audit teams with the use of our automated budget dashboard and milestone monitoring dashboard
  • Lead and manage the updates, maintenance, and support our national office with the use of mining data from a globally supported solution, KCw Data Mining
  • Coach, supervise and review the work of junior team members, including audit project coordinators, data analyst and the Central Data Support Team (includes data engineers, software developers and data scientists)
  • Lead the junior team members through design, build, testing, and deployment of new or updated solutions, ensuring quality and operational excellence, and sufficient documentation of testing results ย 
  • Proactively improve internal audit processes and leveraging automation, analytics, and AI tools to address them
  • Liaise with subject matter expertsโ€™ teams to identify the need for, and obtain access to information that supports our automated and centralized processes
  • Proactively contributes to the creation of presentation materials and quarterly reporting relating to data activities for stakeholder discussions (national and global).

What you bring to the role
  • Technical: 7+ years of experience
    • Post-secondary degree in computer engineering, mathematics, data science, or related disciplines
    • Intermediate proficiency in Microsoft Excel (specifically with Power Query and VBA) and Microsoft Power Platform (including PowerBI, Power Automate, and Power Apps)
    • Intermediate proficiency working with databases
    • Intermediate proficiency in Python (or similar scripting languages) for data processing, automation, and analytical workflows
    • Experience with QA testing, including ability to create test plans, test cases, execute test cycles, etc.
    • Exposure to AI agent tools and generative AI capabilities, such as Copilot Studio, Azure AI, Azure OpenAI, or similar platforms
    • Understanding of integrations, APIs, SharePoint Online, ServiceNow, or comparable enterprise platforms
    • Relevant Microsoft, Azure, Power Platform, or AI certifications are considered an asset
  • Soft Skills: 5+ years of experience
    • Ability to translate business needs into clear technical work items and help teams move from intake through build, testing, release, and sustainment
    • Experience collaborating with cross-functional teams to solve complex data challenges
      Self-Starter who identifies gaps in processes and advocates solutions for improvement
    • Experience and ability to coach, supervise and review the work of junior employees, as well as managing and coordinating expectations of stakeholders
    • Exceptional attention to detail and ability to self-review
  • This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment.
KPMG Ontario Region pay range information
The expected base salary range for this position is $112,500 to $162,500 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
ย 
KPMG BC Region Pay Range Information
The expected base salary range for this position is 110,500 to $165,500 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
ย 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right |ย Excellence, we never stop learning and improving |ย Courage, we think and act boldly | Together, we respect each other and draw strength from our differences |ย For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMGโ€™s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMGโ€™s Trusted AI framework.

We believe technology should empower human judgment, not replace it. Itโ€™s one of the many ways weโ€™re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • Technical: 7+ years of experience
    • Post-secondary degree in computer engineering, mathematics, data science, or related disciplines
    • Intermediate proficiency in Microsoft Excel (specifically with Power Query and VBA) and Microsoft Power Platform (including PowerBI, Power Automate, and Power Apps)
    • Intermediate proficiency working with databases
    • Intermediate proficiency in Python (or similar scripting languages) for data processing, automation, and analytical workflows
    • Experience with QA testing, including ability to create test plans, test cases, execute test cycles, etc.
    • Exposure to AI agent tools and generative AI capabilities, such as Copilot Studio, Azure AI, Azure OpenAI, or similar platforms
    • Understanding of integrations, APIs, SharePoint Online, ServiceNow, or comparable enterprise platforms
    • Relevant Microsoft, Azure, Power Platform, or AI certifications are considered an asset
  • Soft Skills: 5+ years of experience
    • Ability to translate business needs into clear technical work items and help teams move from intake through build, testing, release, and sustainment
    • Experience collaborating with cross-functional teams to solve complex data challenges
      Self-Starter who identifies gaps in processes and advocates solutions for improvement
    • Experience and ability to coach, supervise and review the work of junior employees, as well as managing and coordinating expectations of stakeholders
    • Exceptional attention to detail and ability to self-review
  • This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment.
KPMG Ontario Region pay range information
The expected base salary range for this position is $112,500 to $162,500 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
ย 
KPMG BC Region Pay Range Information
The expected base salary range for this position is 110,500 to $165,500 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
ย 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME