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Data Visualization Jobs in Alberta (NOW HIRING)

TELUS

L3 Data Management (GCP)

Edmonton, AB · On-site +1

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 ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

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 ...

Cenovus

Senior Commercial Data Advisor

Calgary, AB · On-site +1

Proficiency in data analytics and visualization tools (e.g., Power BI, Spotfire, R Studio, or similar) * Demonstrated ability to make sound, effective decisions and operate independently * Experience ...

Johnson Controls

Automation Engineer

Edmonton, AB · On-site

Experience with Power BI or similar data visualization tools * Background working with autonomous robotics, automated manufacturing, or AR/VR technologies Johnson Controls' Canadian subsidiaries are ...

Krux Analytics

Revenue Operations Manager

Calgary, AB · On-site

Experience with data visualization and reporting tools such as Power BI or Tableau is considered an asset Experience 10+ years of experience in Revenue Operations, Sales Operations, or Business ...

Apply Early

Data Elephant Inc

Senior Power BI Lead

Calgary, AB

Focus on data and technical excellence while collaborating with design-focused roles for visualization best practices Experience & Expertise * 8+ years of experience working with Power BI in a ...

Targeted Talent

Senior Database Developer

Edmonton, AB · Remote

$95K - $110K/yr

You Have: * 7+ years experience working with SQL data development * Strong experience with SSRS and Stored Procedures * Experience with visualization tools like Power BI and Tableau * Experience ...

Apply Early

Targeted Talent

Senior Database Developer

Calgary, AB · Remote

$95K - $110K/yr

You Have: * 7+ years experience working with SQL data development * Strong experience with SSRS and Stored Procedures * Experience with visualization tools like Power BI and Tableau * Experience ...

Apply Early

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Data Visualization information

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
More about Data Visualization jobs
What are the most commonly searched types of Data Visualization jobs in Alberta? The most popular types of Data Visualization jobs in Alberta are:
What are popular job titles related to Data Visualization jobs in Alberta? For Data Visualization jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Alberta look for? The top searched job categories for Data Visualization jobs in Alberta are:
What cities in Alberta are hiring for Data Visualization jobs? Cities in Alberta with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Alberta as of June 2026, with employment types broken down into 3% Internship, 11% As Needed, 61% Full Time, 11% Part Time, 8% Temporary, and 6% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.
L3 Data Management (GCP)

L3 Data Management (GCP)

TELUS

Edmonton, AB • On-site, Remote

Other

Posted 22 days ago

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 80 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 

What TELUS employees say

Pay

Hours and flexibility

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