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Data Analytics Engineer Jobs in Alberta (NOW HIRING)

Senior Production Engineer About Sinopec Sinopec Canada is a wholly-owned subsidiary of a major ... Utilize data analytics (PowerBI) for well monitoring, optimization and reporting. * Provide ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Translate business and analytical requirements into endtoend ML/AI solution design, * Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g ...

Transportation Analyst

Edmonton, AB · On-site +1

CA$85K - CA$142K/yr

... data-driven decision making. Minimum Qualifications * Bachelor's degree in Supply Chain Management, Logistics, Business, Analytics, Engineering, or a related field. * 4+ years of experience in ...

New

Transportation Analyst

Edmonton, AB · On-site +1

CA$85K - CA$142K/yr

... data-driven decision making. Minimum Qualifications * Bachelor's degree in Supply Chain Management, Logistics, Business, Analytics, Engineering, or a related field. * 4+ years of experience in ...

New

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

Showing results 41-60

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.

Junior Advisor, Asset Analytics

BBA, Inc.

Edmonton, AB

Full-time

Re-posted 4 days ago


Job description

An overviewof your future role

BBA is a leading North American consulting firm that provides a broadrange of services, including engineering and design, digital power systems,in-field testing, analysis and commissioning, asset management and analyticsand advisory services.

BBA has a new opportunity for a Junior Advisoras part of our Power Advisory and Asset Management (PAAM) team. BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists, mathematicians, statisticians, policy-makers and advisors who arecollectively building the next generation of decision-making analytics andplatforms to help organizations make their asset infrastructure more resilientin the face of extreme weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles, renewables, data centres). Our worksupports a variety of organizations, including electric GT&D utilities,independent power producers and commercial customers, to avoid potential risksby taking the right actions, with the right assets, at the right time.

This new opportunity will involve a wide rangeof challenging projects in the utility and power sector, along with exposure tothe mining and industrial sectors.

With us, you'll get the opportunity to... 

  • Help deliver decision-making asset analytics, including advanced asset condition assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics
  • Support the delivery of top-down and bottom-up load forecasting for power utilities, large industrial customers and independent power producers
  • Develop asset analytics dashboards, visualizations, digital twins and geospatial visual environments to convey key decision-making messages to asset players
  • Support the development of key performance indicators, metrics and measures to enhance productivity, operations and risk management
  • Support the delivery of regulatory reporting deliverables, including long-term and short-term capital and maintenance investment plans as part of electricity rate filing applications
  • Support the development of business case evaluation (BCE) frameworks to justify and prioritize key investments
  • Perform end-to-end data analytics, including data collection, transformation, analysis, and visualization
  • Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques
  • Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables
  • Delivery of engagement and contribution (E&C) programs to present key findings from major projects as part of knowledge sharing, client engagement and networking activities

Do your qualities and values match ourcorporate culture?
  • Autonomous
  • Aptitude for self-development
  • Results-driven
  • Excellent communication and soft skills
  • Attention to detail
  • Strong organizational skills
  • Thirst to learn and excel
  • Rigorous and ethical
  • Caring mindset that puts people first