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Data Analysis Assistant Jobs in Alberta (NOW HIRING)

... analytics models, and applications * Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions * Assist in implementing change ...

... analytics models, and applications * Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions * Assist in implementing change ...

Use GIS and associated software to produce, display, and analyze geographic information to support ... Support development or maintenance of GIS-based tools and applications, and assist with integration ...

The primary objective of this role is to assist our clients in establishing a data platform and data culture that enables them to leverage advanced reporting, analytics, and AI. The Data Architect ...

Quality control of year-end data input and verification of program output, including Annual Benefit ... Perform other tasks as assigned to assist in the overall team effort Qualifications and Attributes

... * Assist in analyzing and reviewing global compensation programs to identify trends, ensure market ... Prepare data analysis, reports, and presentation materials to support leadership and HR ...

Accountant

Calgary, AB · On-site

$80K - $90K/yr

... analysis * Assist with IFRS financial reporting, lender reporting, covenant calculations, and ... Exposure to data centres, energy, digital assets, or other capital-intensive industries is an asset

... and assist in the interpretation of groundwater level, flow, and geochemical data · Provide ... analysis, or related quantitative methods · Eligibility for professional registration (e.g ...

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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 Jul 17, 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 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 key skills and qualifications needed to thrive as a Data Analysis Assistant, and why are they important?

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 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 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 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 July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $58,824 per year, or $28.3 per hour.
L3 Data Management (GCP)

L3 Data Management (GCP)

TELUS

Edmonton, AB • On-site, Remote

Other

Re-posted 4 days ago


TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

18th of 82 rated telecommunications companies


Job description

Description

Our team and what we'll accomplish together


Be a part of a transformational journey with us, where innovative talent meets cutting-edge technologies. At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven company globally. We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal teams.

We are seeking a motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a solid background in data engineering, BI solutions, and cloud-based data pipelines, with some exposure to CI/CD practices. In this role, you will collaborate with cross-functional teams to help implement and manage cloud-based data solutions while ensuring quality, compliance, and performance. You will also have the opportunity to grow your skills under the mentorship of senior team members.

What you'll do

  • Contribute to the design and implementation of cloud-based data solutions on Google Cloud Platform (GCP) and BigQuery to support business intelligence (BI) and data analytics requirements
  • Support the development and maintenance of ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources
  • Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics models, and applications
  • Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions
  • Assist in implementing change management and release management strategies to support smooth deployments
  • Follow the established Software Development Lifecycle (SDLC) process for cloud-based projects, including requirements gathering, development, testing, and documentation
  • Help enforce data compliance practices to protect data assets and support regulatory compliance (e.g., SOX)
  • Develop and optimize data models and explores within the Looker platform under guidance from senior team members
Qualifications
  • 4-6 years of experience with SQL / PL SQL, Stored Procedures, BigQuery, and data pipeline development
  • 2-3 years of experience in cloud-based data engineering with a focus on Google Cloud Platform (GCP)
  • Experience with version control tools (e.g., Git, Bitbucket) and CI/CD concepts
  • Familiarity with dashboard and visualization tools such as Tableau, Looker, or Looker Studio
  • Experience with data pipeline tools (e.g., Dataflow) and building datasets for analytics
  • Understanding of DevOps and automation principles
  • Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams

Great-to-haves

  • Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)
  • Exposure to IaC tools such as Terraform or Pulumi
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes)
  • Experience with Snowflake or Postgres SQL
  • Knowledge of security and compliance standards (e.g., SOX, GDPR) for cloud environments
  • Experience with Azure or AWS
  • Bachelor's degree in Computer Engineering, Computer Science, or a related field

Join our team and be part of a dynamic environment where your expertise will make a significant impact on our success.

#LI-Remote #LI-HYBRID 


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