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Data Visualization Jobs in Alberta (NOW HIRING)

Experience with data visualization and storytelling tools (Looker, Tableau, Power BI) * Familiarity with AI/ML pipelines, LLMs, or NLP applications * Exposure to marketing analytics, customer ...

Experience with data visualization and storytelling tools (Looker, Tableau, Power BI) * Familiarity with AI/ML pipelines, LLMs, or NLP applications * Exposure to marketing analytics, customer ...

Prepare data sets for visualization and machine learning modeling. Train machine learning systems using data annotation and benchmarking techniques. Help your colleagues assess AI/ML model ...

Experience building dashboards in data visualization tools (CRMA, Looker, Google Sheets). * Experience leveraging modern data tool stack (dbt, Databricks, Snowflake) and python to scale analytics.

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...

Hands‑on experience configuring systems and building dashboards using data visualization best practices. * Excellent analytical, problem‑solving, and communication skills. If you are interested ...

Data visualization experience with Tableau or Looker - 4+ years * Experience in a market insights role, accounting role or other proven experience in a related position * An eagerness to learn, grow ...

Experience in environmental field sampling, chemistry, analytical data validation, groundwater modeling, data analysis, and/or visualization. * Experience with mobile data collection using EQuIS ...

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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.

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.

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 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:
Infographic showing various Data Visualization job openings in Alberta as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution.

Power BI Developer / Microsoft Power Platform Developer

Propak Systems Ltd.

Airdrie, AB

Full-time

Posted yesterday


Job description

Key Responsibilities

Power BI & Data Visualization (Primary Focus)

- Design, develop, and maintain interactive Power BI reports and dashboards

- Translate business requirements into performant data visualizations

- Develop and optimize DAX measures and data models

- Implement Row-Level Security (RLS)

Data & Integration

- Build and maintain data connections to various source systems

- Design efficient data models

Power Platform & Application Development

- Develop and enhance Power Apps

- Create and support Power Automate workflows

Azure & Microsoft Cloud

- Support Azure resources related to analytics and integrations

Microsoft Business Applications

- Customize and support applications such as Dynamics / Field Service

Required Qualifications

3+ years of Power BI development experience

Core Technologies

  • Power BI (Desktop & Service)
  • DAX
  • SQL (T-SQL preferred)
  • Power Apps (Canvas and/or Model-driven)
  • Power Automate

Microsoft & Cloud Technologies

  • Azure SQL / SQL Server
  • Azure Data Factory
  • Azure Logic Apps
  • Dataverse
  • Microsoft 365 & Security concepts

Programming & APIs (assets but not required)

  • Experience with Microsoft Graph API
  • REST APIs and data integrations
  • JSON, OData
  • PowerShell for automation and administration
  • C# or .NET

Dev & Data Practices

  • Version control (Git / Azure DevOps)
  • CI/CD concepts for Power Platform or Power BI
  • Data governance and security best practices

Nice-to-Have / Bonus Qualifications

  • Experience with Dynamics 365 (Field Service, Customer Service, or similar)
  • Knowledge of data warehousing or lakehouse architectures
  • Microsoft certifications (Power BI, Power Platform, Azure)