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Internship Data Science Analytics Jobs in Edmonton, AB

Professional analytics / data science / development experience. * Experience with Microsoft Fabric, Databricks, Azure, Google or AWS environments. * Technical Proficiency: SQL, python, spark, DAX ...

Professional analytics / data science / development experience. * Experience with Microsoft Fabric, Databricks, Azure, Google or AWS environments. * Technical Proficiency: SQL, python, spark, DAX ...

Professional analytics / data science / development experience. * Experience with Microsoft Fabric, Databricks, Azure, Google or AWS environments. * Technical Proficiency: SQL, python, spark, DAX ...

... analysis and commissioning, asset management and analyticsand advisory services. BBA has a new ... BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ...

... analysis and commissioning, asset management and analyticsand advisory services. BBA has a new ... BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ...

... Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

Showing results 21-40

Internship Data Science Analytics information

What is the difference between Internship Data Science Analytics vs Data Analyst Intern?

AspectInternship Data Science AnalyticsData Analyst Intern
Required CredentialsBasic knowledge of statistics, programming (Python/R), and data toolsSimilar skills, often with coursework in statistics or data analysis
Work EnvironmentHands-on projects, collaborative teams, tech-focused companiesData collection, cleaning, visualization tasks in various industries
Employer & Industry UsageTech firms, finance, healthcare, consultingRetail, marketing, finance, tech

Internship Data Science Analytics and Data Analyst Intern roles share similar skills and work environments, focusing on data handling and analysis. The main difference lies in scope: Data Science Analytics internships often involve more advanced statistical modeling and machine learning, while Data Analyst Intern roles emphasize data visualization and reporting. Both serve as entry points into data careers, with overlapping skills but different focus areas.

What to do in an internship data science analytics?

During a data science analytics internship, interns typically assist with data collection, cleaning, and analysis using tools like Python, R, or SQL. They work on real-world projects, develop models, and present insights to teams, gaining practical experience in data-driven decision making and analytics techniques.
Infographic showing various Internship Data Science Analytics job openings in Edmonton, AB as of July 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 82% In-person, and 18% Hybrid job distribution.

Jr. Analytics Developer

Go Auto

Edmonton, AB • On-site

Full-time

Medical, Dental, PTO

Posted 14 days ago


Job description

Jr. Analytics Developer - Go Auto Corporate (Mayfield)

The Opportunity

We strive to stay at the forefront of data-driven decision-making and are seeking a curious and enthusiastic Jr. Analytics Developer to help turn business questions into trusted, useful data products. This is a junior role with meaningful responsibility and growth opportunities. You’ll work across the analytics lifecycle, across tools and products, and get exposure to many business areas.

This role is a strong fit for someone who cares about doing thoughtful, high-quality work. You don’t need to know every tool in our technology stack. We’re looking for solid foundations, attention to detail, a willingness to learn, and the drive to follow a problem through to a useful result. If you are passionate about data and curious about the business decisions behind it, we want to hear from you!


Primary Duties

  • Work with team members and stakeholders to understand business objectives, processes, and analytical needs.
  • Help turn business questions into clear requirements, metric definitions, and practical analytics solutions.
  • Build and maintain data models, tables, and transformation logic using established development patterns.
  • Create reports, dashboards, and tools that are clear, reliable, and designed to support decisions.
  • Complete ad hoc analysis and communicate your findings, assumptions, and limitations.
  • Test and reconcile data against source systems so stakeholders can trust the results.
  • Help maintain and improve current infrastructure, including user support.
  • Develop your skills across technologies such as Fabric, Azure, AWS, SQL, Spark, Python, Excel, and DAX.

Requirements

  • Foundational experience with SQL and working with structured data.
  • Foundational understanding of programming concepts.
  • Foundational understanding of business.
  • Exposure to data visualization or business intelligence tools, such as Power BI or a comparable platform.
  • Understanding of databases, relational data modelling, transformation, and validation concepts.
  • Strong analytical and problem-solving skills.
  • Careful attention to accuracy, clarity, and maintainability.
  • The ability to explain technical information in clear, practical language.
  • A willingness to ask for help, receive feedback, and keep developing your skills.
  • Bachelor’s degree or higher in Business, Computer Science, Statistics or related.

Nice to Have

  • Professional analytics / data science / development experience.
  • Experience with Microsoft Fabric, Databricks, Azure, Google or AWS environments.
  • Technical Proficiency: SQL, python, spark, DAX, VBA, AI.
  • Familiarity with the automotive industry, including dealership operations and performance metrics.
  • Examples of high-quality analytical or technical work from employment, education, personal projects, or another setting.

Perks

  • Learn and Grow - We're committed to your growth and development. We will ensure you receive all of the training you need as well as access to our library of courses in the Go Auto U.
  • Employee Investment Program - Money back? Yes, please! Brace yourself for this irresistible offer. Our program guarantees a 10% return every year, up to a whopping 16%, based on Go Auto's profits.
  • Vacation Vibes - We understand the importance of work-life balance. Picture yourself sipping margaritas on a sandy beach. After your first year, enjoy THREE WEEKS OF VACATION! Reach five years, and you'll have four weeks. Hit ten years, and you'll be soaking up FIVE weeks of vacation time!
  • Health and Dental - Your well-being matters to us. Experience comprehensive benefits, including healthcare, dental coverage, and a health spending account. We want to see your biggest, brightest smile!
  • Climb the Ladder - With our promote-from-within culture, you'll have ample opportunities to grow along your chosen career path?
  • Positive Team Environment - Join a vibrant team of like-minded individuals who share your passion and drive. We foster a positive and collaborative work environment where everyone supports and uplifts each other. Together, we celebrate victories, overcome challenges, and create lasting friendships.
  • Giving Back Feels Great - We're all about making a positive impact. Every year, we donate to worthy causes like the Kids with Cancer Society and Go Auto Fuels the Schools.
  • Find Your Life-Changing Career - We don't just offer jobs; we build lifelong careers. During your interview, ask us about our inspiring success stories of career growth within Go Auto.