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Data Jobs in Alberta (NOW HIRING)

TELUS

Data Scientist

Calgary, AB · On-site

Our Data Analytics team is the go-to destination for analytical, creative professionals passionate about developing their talents while solving some of TELUS' most significant challenges. What you'll ...

Lantern

Data Architect

Edmonton, AB

Data Architect We are seeking an experienced Data Architect to join our team at Lantern. In this role you will play a crucial role in designing and implementing solutions that drive business insights ...

TELUS

Data Scientist

Edmonton, AB · On-site

Our Data Analytics team is the go-to destination for analytical, creative professionals passionate about developing their talents while solving some of TELUS' most significant challenges. What you'll ...

Strathcona Resources Ltd

Data Analyst

Calgary, AB

We are seeking a skilled Contract Data Analyst to join our Analytics team in Calgary for an 18-month term. Reporting to the Team Lead, Analytics, you will work closely with internal stakeholders and ...

Targeted Talent

Data Scientist

Calgary, AB · Remote

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ ...

Targeted Talent

Data Scientist

Edmonton, AB · Remote

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ ...

Targeted Talent

Data Scientist

Edmonton, AB · Remote

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ ...

Targeted Talent

Data Scientist

Calgary, AB · Remote

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ ...

Targeted Talent

Data Scientist

Edmonton, AB

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Targeted Talent

Data Scientist

Edmonton, AB

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

ShyftLabs

Data Engineer

Calgary, AB

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies . We deliver digital solutions built to help accelerate the growth of ...

10 Percent Recruiting Ltd.

Data Engineer

Edmonton, AB · Hybrid

Data Engineer Location: Edmonton, AB - hybrid Type: Permanent We currently recruiting for a Full-time Data Engineer for our downtown Edmonton-headquartered client's Information Technology Department.

Deloitte

Data Science Manager

Calgary, AB

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics ...

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All JobsData JobsData Jobs in Alberta

Data information

See Alberta salary details

$9

$33

$78

How much do data jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for data in Alberta is $33.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $47.36 per hour, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What are the most commonly searched types of Data jobs in Alberta? The most popular types of Data jobs in Alberta are:
What are popular job titles related to Data jobs in Alberta? For Data jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data jobs in Alberta look for? The top searched job categories for Data jobs in Alberta are:
What cities in Alberta are hiring for Data jobs? Cities in Alberta with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.
Data Scientist

Data Scientist

TELUS

Calgary, AB • On-site

Other

Posted 8 days ago

TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

24th of 96 rated telecommunications companies

Job description

Description

Be a part of a transformational journey with innovative talent and leading edge technologies.


Join our team and what we'll accomplish together

This is an exciting opportunity to join the Systems Simplification Innovation Hub within Systems Simplification Team. We are a dynamic and agile team revolutionizing TELUS operations by designing data-driven solutions that optimize OpEx, CX, sales, billing, and other key metrics across our national workforce. Our Data Analytics team is the go-to destination for analytical, creative professionals passionate about developing their talents while solving some of TELUS' most significant challenges.

What you'll do

As a Data Scientist, you'll work closely with stakeholders and software engineers to identify and implement scalable data architectures, transform raw data into actionable insights, and create compelling visualizations that drive business decisions across TELUS. 


Your Responsibilities: 

  • Data Architecture & Engineering: Design and build robust data pipelines and architectures on Google Cloud Platform (GCP), leveraging BigQuery, Workflows, Cloud Scheduler, Dataproc, and Batch jobs. Establish scalable ETL/ELT processes that efficiently ingest, transform, and prepare data from diverse sources for analytics and reporting. Build and manage GCP resources using Pulumi and YAML configurations, and maintain code in GitHub.
  • Advanced Analytics & Insights: Conduct in-depth exploratory data analysis and apply statistical methods, machine learning techniques, and AI-driven analytics to uncover patterns, trends, and actionable business insights. Develop analytical models and leverage AI capabilities to support strategic decision-making and operational improvements across key business metrics.
  • Data Visualization & Dashboards: Design and build intuitive, visually compelling dashboards and reports in Looker Studio that communicate complex data stories to diverse stakeholders. Create data visualizations with a strong eye for clarity, aesthetics, and user experience that enable self-service analytics.
  • GCP Platform Expertise: Leverage GCP's data ecosystem (BigQuery, Workflows, Cloud Scheduler, Dataproc, Batch, and Vertex AI) to optimize query performance, reduce costs, and enable real-time analytics. Implement best practices for data governance, security, and scalability within GCP environments.
  • Collaboration and Mentoring: Work with business teams and stakeholders to understand data requirements and translate business questions into analytical solutions. Document analytical findings and architectural decisions clearly, and mentor team members on data best practices.
Qualifications


What you bring

  • Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline - or a PhD in a relevant field.
  • 3+ years of experience designing and implementing data architectures and analytics solutions in production environments, delivering measurable business impact.
  • Advanced proficiency in Google Cloud Platform (GCP), with hands-on experience in BigQuery, Workflows, Cloud Scheduler, Dataproc, and Batch jobs.
  • Expert-level experience with Looker Studio for creating dashboards, reports, and data visualizations that drive business insights and support decision-making.
  • Strong foundation in data architecture and ETL/ELT design, with the ability to optimize data pipelines for performance, scalability, and cost efficiency.
  • Demonstrated expertise in data visualization and analytics, with a keen eye for designing clear, compelling, and actionable insights that resonate with both technical and business audiences.
  • Experience working in GitHub, building and managing GCP resources using Pulumi and YAML configurations.
  • Strong SQL skills and experience working with large-scale datasets; proficiency in data modeling and dimensional design.
  • Proven experience analyzing structured and unstructured data using statistical methods, exploratory data analysis, and machine learning techniques to drive insights.
  • Proficiency in Python or similar languages for data processing and analytics.
  • Experience leveraging AI capabilities and tools (such as Vertex AI) to build machine learning models and AI solutions that enhance analytical capabilities.
  • Experience deploying and monitoring data solutions in production, with familiarity in CI/CD, version control, and cloud infrastructure best practices.
  • Strong ability to translate business questions into analytical frameworks and communicate findings effectively with both technical and non-technical stakeholders.

What TELUS employees say

Pay

Hours and flexibility

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