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Data Analytics Associate Jobs in Alberta (NOW HIRING)

The Data Architect undertakes tasks such as data analysis, modeling, masking, provisioning, and ... Azure Data Engineer Associate) * Architecture Process Training or Certifications (eg: TOGAF ® ...

New

At 360training, every associate has the ability to make an impact and they are rewarded for doing ... Head of Analytics: This role is the leader of Analytics with a focus on leveraging data ...

Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics ... Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)

Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics ... Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

About this role The Canadian Data & Analytics function is at an inflection point. As Skip invests ... Associate Director of Data & Insights These are some of the key components to the position: * Own ...

Research Associate Analyst We are looking for a Research Associate Analyst to join our Capital ... Industry & market research and collection and maintenance of industry and company data * Evaluation ...

New

Research Associate Analyst We are looking for a Research Associate Analyst to join our Capital ... Industry & market research and collection and maintenance of industry and company data * Evaluation ...

New

One thing our associates get to experience is the ability to make an impact on day one of working ... Strong analytical and problem-solving skills, with a passion for continuous learning and innovation.

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Data Analytics Associate information

See Alberta salary details

$27K

$70K

$126K

How much do data analytics associate jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data analytics associate in Alberta is $69,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
What are the most commonly searched types of Data Analytics jobs in Alberta? The most popular types of Data Analytics jobs in Alberta are:
Infographic showing various Data Analytics Associate job openings in Alberta as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $69,957 per year, or $33.6 per hour.

Full-time

Medical, Retirement, PTO

Posted 4 days ago

New


Job description

Join Servus Credit Union - Canada’s Largest Credit Union!

We are hiring for a Data Architect in our Data Tech & Infrastructure team!

Posting Closes: July 19, 2026

For Internal Use Only: P4/C

At Servus Credit Union, we do things differently—because we’re a credit union, not a bank. And that difference matters. 

We believe in putting people before profits, which is why our members are also our owners. Every dollar we earn is reinvested into the things that matter most: our members, our employees, and our communities. Whether it’s through profit sharing, competitive rates, or local initiatives that make a real impact, we’re here to help Albertans feel good about their money. 

We’re looking for passionate, values-driven people to join our team. We welcome individuals from all backgrounds who are aligned with our values and are eager to contribute in meaningful ways. If you're excited to grow your career with a team that’s innovative, hardworking, collaborative and deeply rooted in community, we want to meet you

 Join Servus and discover a better way to work. 

The Data Architect position is responsible for establishing effective data practices in line with organizational goals. This role involves designing enterprise-level data storage and access solutions, integrating information from various sources, and leading key data projects while documenting essential processes. The Data Architect undertakes tasks such as data analysis, modeling, masking, provisioning, and research and development. Candidates should have a strong commitment to developing resilient data frameworks and fostering innovation within the organization.

What you’ll be doing:

Data Architect

  • As a Data Architect, identify and suggest new technology to enhance data systems and support business needs.
  • Collaborate with business analysts, Data Managements teams, Data Analytics, Data Science, and other IS analysts to convert business requirements into enterprise data solutions.
  • Design and build enterprise data storage and access solutions, integrating multiple data sources and systems.
  • Maintain data quality, integrity, and reliability by promoting best practices.
  • Develop formal architectural documentation based on project needs.
  • Recommend standards to optimize performance and efficiency within the data storage ecosystem.
  • Implement security frameworks to manage data and visualization access effectively.
  • Build consensus between business and technical partners and understand other business units involved.

Data Management

  • Handle highly complex requests and solutions spanning IS and business functions.
  • Design, execute, modify, and optimize data masking for integrated data sources.
  • Lead, document, and implement aspects of information provisioning, data analysis, profiling, modeling, masking, provisioning, and R&D.
  • Manage current and future needs concerning data design, structure, content, and inventory.
  • Analyze, design, and support implementation for complex service requests.
  • Research business issues and aid in developing complex data models.
  • Conduct unit testing, including creating test cases based on requirements; possess advanced knowledge of unit and user acceptance testing.
  • Review test plans and participate in testing to ensure deliverables meet expectations.

Leadership and Communication

  • Actively promote teamwork and continuous improvement.
  • Practice active listening with colleagues.
  • Communicate promptly and escalate issues to leaders or project managers as needed. Write clear, professional, and engaging business correspondence.
  • Encourage peer review of deliverables, supporting consistent and effective documentation that aligns with team standards and templates.
  • Coach and mentor others in the data management teams.

What you bring: 

Experience and Education:

  • Holds a post-secondary IT or computer technology qualification.
  • Over 10 years of Business Intelligence experience, including SQL, SQL Server, SSAS, SSRS, SSIS, Power BI, and ETL tools.
  • Highly skilled with cloud platforms (Databricks, Azure, DBT).
  • Experienced in data modeling, Master Data Management, and system support.
  • Proficient in developing and enforcing coding standards; testing (unit, compliance, integration, volume, user acceptance); and troubleshooting complex business issues.
  • Designs reusable data components to enhance team efficiency.
  • Strong communication, active listening, and business analysis abilities.
  • Experienced in Agile/Scrum approaches, team leadership, and project management.
  • Training or experience in analytics, machine learning, and AI is a must.

Licenses and Certifications:

  • Data Management training or certifications (eg: DAMA®)
  • Microsoft Architecture training or certifications (eg: Azure Data Engineer Associate)
  • Architecture Process Training or Certifications (eg: TOGAF®)

Other Role Requirements:

  • Work arrangement: Remote first
  • Occasional travel to Edmonton, Calgary, or Red Deer may be necessary as part of this position.

Most importantly, we're looking for candidates whose personal values align with our cooperative values. These values are evident in everything we do everyday. We're not afraid to be different from our competitors and in fact we embrace these differences. We celebrate our credit union culture and history, and we pride ourselves on our strong commitment to our member-owners and to the communities we serve.

Why Servus? 

Working for Servus has outstanding benefits. In addition to standard benefits like health and wellness, vacation and retirement savings programs, we also provide other important benefits such as: 

  • Competitive compensation including performance-based incentive pay and profit share 
  • Training & Development Opportunities 
  • Career Advancement Potential
  • Flexible work options 
  • Meaningful work towards individual and corporate goals 
  • Opportunities to get involved and give back through an employee volunteer program 

          At Servus, our employees are also members. This means you'll have all the benefits of being a member of the credit union including profit sharing, voting for the board of directors, and all of the financial services we provide…with a few additional perks!

          What happens next?

          We thank all applicants for their interest. Please note applications will only be accepted online and only those applicants under consideration will be contacted. 

          At Servus Credit Union, we believe in being purposefully cooperative and working together to create a culture of Belonging for everyone. We are committed to an inclusive, equitable, and accessible workplace where everyone is valued, respected, and supported. We encourage applications from individuals of all backgrounds, and accommodations are available during every stage of the hiring process upon request. Your skills, passion and curiosity may find they belong at Servus, so even if you don't check every box, we encourage you to apply!

          Employment Eligibility: The selected candidate(s) must successfully pass a criminal background check, reference check and credit check to qualify for hire by Servus Credit Union.

          #indh