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Data Analytics Engineer Jobs in Alberta (NOW HIRING)

Build reliable transformation workflows that support analytics, reporting, and data science ... Work closely with software engineers, data analysts, and data scientists to understand their data ...

You will work directly with client stakeholders, project teams, data engineers, architects, and analytics specialists to define business requirements, map business processes, improve data quality ...

The engineer works closely with IVR Engineers, Application Architects, DevOps, and Data Analytics teams to ensure correct data storage, availability, and consistency for call flows, routing logic ...

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 ...

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 ...

We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal ...

We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal ...

You will work closely with Data Engineers, domain experts, and cross-functional stakeholders to build scalable analytical products and deliver value through iterative MVP-based releases. Key ...

... Data Modelling Collaboration Design and maintain enterprise Power BI semantic models Implement star schema models using conformed dimensions Collaborate with Senior Analytics Engineer on schema ...

... on data analytics or operations research * Experience with data visualization tools such as Power BI * Experience with relational databases and SQL is preferred * Experience with programming ...

... on data analytics or operations research * Experience with data visualization tools such as Power BI * Experience with relational databases and SQL is preferred * Experience with programming ...

... on data analytics or operations research * Experience with data visualization tools such as Power BI * Experience with relational databases and SQL is preferred * Experience with programming ...

Description The Opportunity We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering ...

Description The Opportunity We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering ...

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Showing results 1-20

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 Jun 16, 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.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
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 June 2026, with employment types broken down into 58% Full Time, 35% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Analyst, Capital Governance & Data Management

EPCOR

Edmonton, AB

Full-time

Posted 11 days ago


Job description

Highlights of the job

EPCOR Water Services is hiring a full-time permanent Analyst, Capital Governance & Data Management to join our Finance & Planning team. This position is based at our Rossdale Water Treatment Plant site in Edmonton, Alberta.

The Analyst, Capital Governance & Data Management is accountable for collecting and organizing data and developing efficient models, templates, and tools used by CGR and Capital teams for KPI reporting and decision making. The role maintains and leverages these tools to support EWS’ capital performance, budget development, forecasting, variance reporting, and capital program decision making, including lifecycle cost and alternative analyses, while providing project and portfolio-level analysis of budgets, forecasts, and cash flows.

We welcome applications from both internal and external candidates. EPCOR employees should apply using their “epcor.com" email address to ensure proper consideration of internal seniority.

What you’d be responsible for

In the role of Analyst, Capital Governance & Data Management, you are accountable to the Manager, Capital Governance & Data Management and will have the following key accountabilities (but are not limited to these):

  • Provide input into CGR plans and direction, supporting capital planning, project reporting, regulatory support, and budget development, while maintaining strong alignment with project management processes and cross-functional relationships.
  • Develop and maintain tools, templates, and models to analyze EPCOR Water Services capital data, enabling efficient data analysis and informed decision making. Provide support and training to ensure accurate and consistent use across Capital teams.
  • Continuously improve CGR processes, procedures, templates, standards, and tools aligned with corporate policies, while effectively communicating requirements to stakeholders including Project Management Office, One Water Planning, and Finance.
  • Analyze capital data to inform decision making and support monthly, quarterly, and annual reporting, ensuring accuracy, readability, and coordination of EPCOR Water Services Leadership review prior to publication.
  • Maintain EWS capital project information systems (Oracle Projects, CAPEX Dashboard, SharePoint), including recording, monitoring, forecasting, and budgeting of project data.
  • Support the Manager, Capital Governance & Data Management in delivering the annual capital budget and long-term plans, including maintaining templates, reports, training, and stakeholder engagement.
  • Demonstrate a high performance, high discipline, safe, accountable, and results-oriented approach to work.
  • Contribute to capital budget modelling and analysis, assist with research requests, and support project work as assigned.

What’s required to be successful

Qualifications, experience and behaviours you possess are:

  • Completed diploma or degree in Data Analytics, Data Science, Computer Science, Business, Economics, Engineering, Accounting or related discipline is required.
  • Minimum of 7 years of directly related experience in a combination of:
  • Technical experience with data analytics or data science applications and techniques
  • Technical experience with databases and data lakes including data relationship building
  • Experience using Power BI for data analytics, reporting and visualization
  • Strong ability to learn and leverage new technologies and systems for data and financial analysis
  • Experience in project management, accounting, and project lifecycle delivery is considered an asset
  • Strong knowledge of data analytics, data management, and relational database concepts, with expertise in data modelling, visualization, and governance
  • Proficiency in SQL, Python, R, Power BI (DAX), and Microsoft tools (Power BI, Excel, SharePoint) to develop dashboards, analytical models, and data-driven insights
  • Experience with ERP/financial systems (e.g., Oracle Projects, Oracle BI) and cloud platforms (e.g., Azure Databricks) is a strong asset
  • Strong analytical, research, and problem-solving skills, with experience conducting quality assurance and delivering solutions to complex issues
  • Skilled in process improvement, process mapping, and developing training and documentation
  • Innovative, detail-oriented, and results-driven, with strong planning, organization, and time management skills
  • Effective communicator with the ability to present insights and collaborate across all levels of the organization
  • Ability to work both independently and as part of a team

Other important facts about this job

Jurisdiction: CSU52

Class: T3

Hours of work: 80 hour bi-weekly

Starting Wage: $54.92

  • Final Wage and Step will be determined at the time of selection and based on a combination of factors as outlined in the Collective Agreement.

Flexibility at Work: The Where We Work Program

At EPCOR, we recognize that every team member brings unique perspectives, needs, and working styles. We believe that embracing this diversity makes EPCOR a great place to work.

Our Where We Work Program is designed to support a more flexible, inclusive, and rewarding work environment. It empowers employees to work in ways that best suit their individual needs while supporting team collaboration and performance.

For this role, the successful candidate may be eligible to participate in the hybrid Where We Work Program after completing 3 to 6 months in the position and meeting the program’s eligibility criteria.

Learn more about Working at EPCOR!

Follow us on LinkedIn, X, Glassdoor or Facebook!

Please note the following information:

  • A requirement of working for EPCOR is that you are at least 18 years of age, successfully attained a high school diploma (GED, or equivalent level of secondary education) and legally entitled to work in Canada. (A copy of a valid work permit may be required.)
  • If you are considered for the position, clearance on all applicable background checks (which may include criminal, identity, educational, and/or credit) and professional reference checks is required. Some EPCOR positions require an enhanced level of background assessment, which is dictated by law. These positions require advanced criminal record checks that must also be conducted from time to time after commencement of employment.
  • A technical/practical assessment may be administered during the selection process and this exercise will be used as a part of the selection criterion.
  • To meet the physical demands required of some positions, candidates must be in good physical condition and willing to work in all weather conditions. Clearance on pre-placement medical and drug and alcohol testing may be required.
  • Prior infractions for unsafe driving behaviours will be evaluated and considered for non-selection regardless of current demerits on file.
  • If you are required to provide your own personal reliable vehicle - Successful applicants must provide their own vehicles with appropriate insurance in accordance with EPCOR’s Employee Mileage Reimbursement Policy. You will be reimbursed in accordance with EPCOR’s Employee Mileage Reimbursement Policy.
  • The results of this competition may be used to fill similar vacant positions for up to six (6) months.