1

Associate Degree In Data Analytics Jobs in Calgary, AB

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)

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

Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field. * 5+ years of experience in a Senior Data Analyst or Business Intelligence role. * Strong handson ...

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field ... Strong analytical and problem-solving skills, with a passion for continuous learning and innovation.

Build reliable transformation workflows that support analytics, reporting, and data science ... Degree in Computer Science, Engineering, Mathematics, or related STEM discipline . * Strong ...

At 360training, every associate has the ability to make an impact and they are rewarded for doing ... data infrastructure to an AI enabled approach Qualifications: * Bachelor's degree in a related ...

Thrives in a fast-paced consulting environment. * Enjoys solving complex business and data challenges. Why Work with Us? * Work on impactful data, analytics, and AI projects across Canada's most ...

The Senior Research Analyst is responsible for internal project management and report writing. This ... data validation and final deliverables Qualifications * Bachelor's degree in a relevant field (e.g ...

Apply Early

Data Scientist

Calgary, AB · Hybrid

CA$131K - CA$150K/yr

Experience in developing analysis in Python and experience with relevant ML libraries and ... A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics ...

next page

Showing results 1-20

Associate Degree In Data Analytics information

What are the key skills and qualifications needed to thrive with an Associate Degree in Data Analytics, and why are they important?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an Associate Degree in Data Analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

What is an Associate Degree in Data Analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
What are popular job titles related to Associate Degree In Data Analytics jobs in Calgary, AB? For Associate Degree In Data Analytics jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Associate Degree In Data Analytics jobs in Calgary, AB look for? The top searched job categories for Associate Degree In Data Analytics jobs in Calgary, AB are:
Infographic showing various Associate Degree In Data Analytics job openings in Calgary, AB as of June 2026, with employment types broken down into 5% As Needed, 56% Full Time, and 39% Part Time. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.
Senior Manager, Data Analytics & Automation-Data Modernization

Senior Manager, Data Analytics & Automation-Data Modernization

KPMG

Calgary, AB • On-site

Full-time

Posted yesterday


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

KPMG’s Management Consulting practice helps organizations leverage change. The Data, Analytics and Automation team helps organizations unlock value from data and AI by enabling data-informed decision-making through strategy, governance, and operating model design in complex enterprise environments. 

We help organizations to become data driven! Will you collaborate with us?  

Our Team 
As a Senior Manager in Data, Analytics and Automation, you will be a part of our Technology Consulting (Data, Analytics and Automation) practice within KPMG. This is a worldwide network of professionals who collaborate on a daily basis to create value from data. Enterprise Data Management integrates and is the connecting link with other data focused advisory services including Business Intelligence, Advanced Analytics, Digital Transformation, Enterprise Solutions and Data Security. We collaborate across service offerings on data driven solutions. And that is why Forrester Research has recently recognized KPMG as one of the most prominent advisory firms in Data & Analytics! 

The successful candidate will lead data modernization strategy and transformation engagements, helping organizations define how data is governed, managed, and leveraged as a strategic asset. 

This role focuses on strategy, design, and advisory. You will work closely with executive stakeholders to define data visions, operating models, and governance frameworks that enable scalable and sustainable data capabilities. 


What you will do
  • Lead the development of enterprise data strategies, roadmaps, and transformation plans  
  • Define and design data operating models (e.g., federated, domain-based, data product-oriented)  
  • Establish data governance frameworks, including ownership models, stewardship structures, and decision rights  
  • Design data management capabilities including metadata, lineage, data quality, and master data management  
  • Advise on data platform modernization (e.g., Databricks, cloud ecosystems) at a strategic and architectural level  
  • Facilitate executive workshops to align on data vision, priorities, and investment cases  
  • Define data product strategies and support domain-oriented data ownership models  
  • Ensure alignment between business objectives and data capabilities  
  • Provide thought leadership on regulatory and risk considerations (e.g., privacy, financial reporting, data controls)  
  • Lead stakeholder engagement and communicate complex data concepts to business and technical audiences  
  • Support the development of new data advisory offerings and go-to-market strategies  
  • Mentor and develop team members across data strategy, governance, and transformation 

What you bring to the role
  • University degree in computer science, information management, business administration, or a related field  
  • 10+ years of experience in data strategy, data governance, or enterprise data management in a consulting role 
  • Proven experience leading data transformation or modernization initiatives  
  • Strong understanding of data governance frameworks, operating models, and data management practices  
  • Experience advising on modern data platforms (e.g., Databricks, Snowflake, cloud ecosystems) at a conceptual level  
  • Strong ability to engage and influence senior stakeholders and executives  
  • Excellent communication skills with the ability to translate complex data concepts into business value  
  • Experience in financial services or insurance is considered an asset  
  • Familiarity with regulatory environments (e.g., data privacy, financial reporting) is considered an asset 
  • DCAM or DAMA certification is considered an asset 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • University degree in computer science, information management, business administration, or a related field  
  • 10+ years of experience in data strategy, data governance, or enterprise data management in a consulting role 
  • Proven experience leading data transformation or modernization initiatives  
  • Strong understanding of data governance frameworks, operating models, and data management practices  
  • Experience advising on modern data platforms (e.g., Databricks, Snowflake, cloud ecosystems) at a conceptual level  
  • Strong ability to engage and influence senior stakeholders and executives  
  • Excellent communication skills with the ability to translate complex data concepts into business value  
  • Experience in financial services or insurance is considered an asset  
  • Familiarity with regulatory environments (e.g., data privacy, financial reporting) is considered an asset 
  • DCAM or DAMA certification is considered an asset 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME