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Data Jobs in Alberta (NOW HIRING)

Alquemy

Data Analyst

Edmonton, AB · On-site

Data Analyst Position Overview We are seeking a Data Analyst to support enterprise data governance, reporting, and analytics by building reliable datasets, improving data quality, and developing ...

Lantern

Data Architect

Edmonton, AB · On-site

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 ...

Alberta Health Services

Data Manager

Calgary, AB · Hybrid

CA$31.64 - CA$54.36/hr

The Data Manager brings advanced analytical and data management expertise to the Business Intelligence, Data and Analytics team in Assisted Living Alberta (ALA). The position works with a high degree ...

New

Clio

Data Architect

Calgary, AB · Hybrid

CA$128K - CA$147K/yr

Role Overview Clio is hiring a Data Architect to design, build, and govern the data foundations that power company reporting, analytics, and our AI-first initiatives. You'll turn raw product and ...

Clio

Data Scientist

Calgary, AB · Hybrid

CA$131K - CA$150K/yr

We aren't looking for just any traditional Data Scientist to join this team. We're looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and ...

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

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

$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 ...

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 ...

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.

Slrconsulting

Environmental Data Manager

Calgary, AB

CA$70K - CA$90K/yr

Role As our Environmental Data Manager, you will lead the development and optimization of our environmental data systems across Canada and internationally. You will manage evolving data needs ...

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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 7, 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, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.

Senior Data Architect - Data Modelling

Data Elephant Inc

Calgary, AB

Full-time

Posted 15 days ago

Job description

Data Elephant is seeking a Senior Data Architect with strong Data Modeling experience to support a client in designing and delivering scalable, high-quality data models within a modern cloud data platform. This role is critical in enabling trusted, performant, and business-aligned data for analytics, reporting, and advanced use cases.

You will work within an environment leveraging Azure, Databricks, and Power BI, collaborating with data engineers, analytics teams, and business stakeholders to define and implement best-in-class data modeling practices.


Key Responsibilities


Data Modeling & Architecture

  • Design and implement conceptual, logical, and physical data models aligned to business requirements
  • Develop dimensional models (star/snowflake schemas) for analytics and reporting use cases
  • Define and manage data structures within Databricks (Delta Lake)
  • Ensure models support scalability, performance, and reusability


Collaboration & Stakeholder Engagement

  • Partner with business stakeholders to translate requirements into robust data models
  • Work closely with data engineers to align modeling with ingestion and transformation pipelines
  • Support Power BI developers in optimizing semantic models and reporting performance


Governance & Standards

  • Establish and enforce data modeling standards, naming conventions, and best practices
  • Contribute to data governance frameworks, including lineage, metadata, and documentation
  • Ensure data models align with enterprise data architecture and security policies


Performance Optimization

  • Optimize data models for query performance and cost efficiency within Azure and Databricks
  • Support tuning of Power BI semantic models (e.g., aggregations, relationships, measures)


Documentation & Knowledge Sharing

  • Produce clear documentation for data models, definitions, and transformations
  • Mentor team members and promote data modeling best practices


Required Experience & Skills


Core Expertise

  • 7+ years of experience in data modeling and data architecture
  • Strong expertise in tools like Erwin, Hackolade, Data Vault
  • Dimensional modeling experience
  • Proven experience working in modern cloud data platforms like Azure, Databricks


Technology Stack

  • Azure Data Platform (e.g., ADLS, Azure Data Factory, Synapse - familiarity expected)
  • Databricks (Delta Lake, medallion architecture, Spark concepts)
  • Power BI (semantic modeling, DAX, dataset design)
  • Strong SQL skills and understanding of distributed data processing


Additional Capabilities

  • Experience designing models for large-scale, complex datasets
  • Strong understanding of data governance, lineage, and metadata management
  • Ability to balance business usability with technical optimization

Apply