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Data Analytics Engineer Jobs in Alberta (NOW HIRING)

Bachelor's degree in Supply Chain Management, Business Analytics, Data Science, Industrial Engineering, or a related field. * Experience in supply chain analytics or data analysis, preferably within ...

Monitor and improve analytical database performance in cloud environments * Conduct model tuning ... Bachelors Degree (Computer Science, Technology, Engineering, or related field) * 10+years of ...

Monitor and improve analytical database performance in cloud environments * Conduct model tuning ... Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+years of ...

Work with Business Analysts and Developers to ensure the warehouse contains the appropriate data models to handle both analytical and system reporting needs. Ensure that data security and access to ...

As an Analyst, Data & Integrations, you'll play a key role in ensuring project data is accurate ... Diploma or bachelor's degree in Business, Engineering, Information Systems, Project Management ...

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global ... Data Analytics * Quantitative Analysis * Web Scraping * Model Development Responsibilities:

... 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 ...

Showing results 21-40

Data Analytics Engineer information

See Alberta salary details

$65.5K

$117.1K

$197.5K

How much do data analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analytics engineer in Alberta is $117,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $132,000.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Alberta? The most popular types of Data Analytics Engineer jobs in Alberta are:
What are popular job titles related to Data Analytics Engineer jobs in Alberta? For Data Analytics Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Alberta look for? The top searched job categories for Data Analytics Engineer jobs in Alberta are:
Infographic showing various Data Analytics Engineer job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Data Analyst

Mars

Edmonton, AB • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 17 days ago


Mars Inc. rating

7.7

Company rating: 7.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

122nd of 436 rated food and drinks producers


Job description

Job Description:

Changing the World, One Kibble at a Time

Champion Petfoods is expanding! We are excited to announce we are looking for a Data Analyst to join our rapidly growing company.

Champion Petfoods is an award-winning pet food crafter with a reputation of trust spanning 35+ years. From our humble beginnings, founded in a small town in Alberta, Canada, Champion - with its ORIJEN and ACANA brands - is a key player in the global premium pet food industry.

Our purpose,To Earn Pet Lover Trust Every Day so Pets Thrive for a Lifetime,provides the foundation for our highest aspirations as a company. Being a partner to the communities that surround us - and the environment that sustains us - are top priorities.

We would love to hear from you if you are passionate about personal and professional growth and see yourself as a key player contributing to our continued success as an award-winning company.

Here's the scoop - Summary

We are looking for a data-driven, detail-oriented Data Analyst, preferably within the pet food or Consumer Packaged Goods (CPG) industry.

In this role, you will support end-to-end supply chain operations by providing actionable insights across multiple functions and serve as the centralized resource for supply chain data and KPI governance.

The ideal candidate thrives in a dynamic, cross-functional environment and is passionate about using data to enhance operational efficiency and support Champion Petfoods' commitment to delivering high-quality nutrition to pets worldwide.
The Supply Chain Analyst works out of our Corporate office in Edmonton (AB) or Nashville (TN) and works a hybrid schedule with 3 days in-person.

Key Responsibilities:

  • Analyzedata acrosssupply chain to identify trends, bottlenecks, and opportunities for process improvements

  • Identify supply chain performance gaps through data analysis, proactively engage with relevant stakeholders to understand root causes, and lead cross-functional efforts to develop and implement innovative solutions.

  • Develop and maintain real-time dashboards, data objects, andreports that track key supply chain metrics

  • Collaborate closely with cross-functional teams to align analytics outputs with business needs

  • Communicate complex data insights clearly and effectively to stakeholders at all levels, enabling data-driven decision-making.

  • Assist in the deployment and continuous improvement of supply chain analytics tools and technologies

    Requirements

    • Bachelor's degree in Supply Chain Management, Business Analytics, Data Science, Industrial Engineering, or a related field.

    • Experience in supply chain analytics or data analysis, preferably within the food or pet food industry.

    • Proficiency with data analysis tools such as Excel, SQL, Python.

    • Ability to translate complex data into actionable insights.

    • Experience with data visualization platforms(preferably Power BI).

    • Strong analytical mindset with excellent problem-solving skills and attention to detail.

    • Excellent communication and interpersonal skills to work effectively across teams.

    • Experience with advanced analytics techniques such as machine learning or predictive modelingpreferred.

    • Experience in Generative AI development preferred.

    • Familiarity with Databricks preferred.

    • Understanding of E2E supply chain processespreferred.

      What can you expect from Champion?

      • Safety:A strong commitment to ensure all people are provided with a safe, healthy and respectful environment.

      • Earnings:Competitive wages, annual bonus eligibility, 401k/RRSP with company matching.

      • Industry Competitive Benefits:Medical, dental, vision and employee assistance programs to meet your individual or family needs.

      • Continuing Education:In house & online learning & development, as well as an education assistance program.

      • Quality:a dedication to uphold the highest standards of authenticity, nutritional integrity, and food safety, to earn the trust of Pet Lovers everywhere.

      • Other Perks:Free bag of premium pet food each month.

      What are you waiting for? Join the pack!

      Come as you are.

      We value diversity in all forms and know the power it can bring. Workplace equality allows for creative ideas to bloom, diverse points of views to be heard, and increases overall happiness. That sounds pretty good to us.

      Champion is an equal opportunity employer. Regardless of your race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age, veteran status, or any other creed, you are wanted here.


      #cpfind

      Employment Type: FULL_TIME

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