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Data Science And Analytics Jobs in Edmonton, AB (NOW HIRING)

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

New

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

New

... 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 analytics, model development, risk programming and presentation to senior management ... Science and Data Science. * Completion or progression in CFA and/or FRM would be an asset.

... 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 ...

Quality control of year-end data input and verification of program output, including Annual Benefit ... Currently pursuing or recently completed a degree in Actuarial Science, Mathematics, Statistics ...

Showing results 21-40

Data Science And Analytics information

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.
Infographic showing various Data Science And Analytics job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Jr. Analytics Developer

Go Auto

Edmonton, AB

Full-time

Medical, Dental, PTO

Posted 2 days ago

New


Job description

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. 
Employment Type: OTHER