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Data Analyst Engineer Jobs in Alberta (NOW HIRING)

What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics engineering, advanced analytics, or a directly related applied technical role. * Bachelor's or Master ...

Transportation Analyst

Edmonton, AB ยท 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 ...

Transportation Analyst

Edmonton, AB ยท 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 ...

Strong programming and data development experience using Python, SQL, APIs, Power Query, and DAX. * Demonstrated experience building and supporting automation, analytics, and data-processing ...

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 ...

Showing results 21-40

Data Analyst Engineer information

See Alberta salary details

$51K

$95.3K

$166.5K

How much do data analyst engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analyst engineer in Alberta is $95,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $105,000.00 per year, depending on experience, location, and employer.

What is a data analyst engineer?

A Data Analyst Engineer is a professional who combines the skills of data analysis and data engineering to collect, process, and analyze large datasets. They design and maintain data pipelines, ensure data quality, and use analytical tools to extract actionable insights from data. Their work supports business decision-making by providing clear, data-driven recommendations. Data Analyst Engineers often collaborate with data scientists, software engineers, and business stakeholders to optimize data workflows and reporting.

How does a data analyst engineer typically collaborate with other teams to deliver insights?

Data Analyst Engineers often work closely with cross-functional teams such as product managers, software engineers, and business stakeholders. They gather requirements, interpret business needs, and translate them into technical data solutions. Effective communication and regular meetings are key, as Data Analyst Engineers must ensure their analyses align with team objectives and that data-driven insights are actionable. This collaborative environment not only enhances project outcomes but also provides valuable exposure to different perspectives and business strategies.

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

To thrive as a Data Analyst Engineer, you need a solid background in statistics, data modeling, and programming languages such as Python or SQL, often backed by a degree in computer science, mathematics, or a related field. Proficiency with data visualization tools (like Tableau or Power BI), database management systems, and certifications such as Microsoft Certified: Data Analyst Associate are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and collaborate with stakeholders. These skills ensure accurate data analysis, impactful reporting, and alignment with business objectives.

What is the difference between Data Analyst Engineer vs Data Engineer?

AspectData Analyst Engineer
Primary FocusCombines data analysis with engineering tasks to prepare and analyze data for insights
Skills & CertificationsData analysis, SQL, Python, data visualization, some data engineering tools
Work EnvironmentCollaborates with data teams, business units, often in analytics or product teams
Tools & TechnologiesSQL, Python, R, BI tools, ETL pipelines

While Data Analyst Engineers focus on analyzing and preparing data for insights, Data Engineers primarily build and maintain data infrastructure. Data Analyst Engineers bridge analysis and engineering, making them versatile for data-driven decision-making.

What are popular job titles related to Data Analyst Engineer jobs in Alberta?

For Data Analyst Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Analyst Engineer jobs in Alberta look for?

The top searched job categories for Data Analyst Engineer jobs in Alberta are:

Infographic showing various Data Analyst Engineer job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $95,297 per year, or $45.8 per hour.

Managed Pressure Drilling (MPD) Engineer - Data Analysis Specialist

Citadel Drilling / Opla Energy

Calgary, AB โ€ข On-site

Full-time

Re-posted 10 days ago


Job description

Location: Houston, Texas or Calgary, Alberta


About Us

Opla Energy is a leader in the energy industry, providing cutting-edge drilling solutions that enhance operational efficiency and reduce costs. We specialize in Managed Pressure Drilling (MPD) and leverage technology to optimize drilling performance. Our parent company, Citadel Drilling, is service-oriented and committed to meeting client needs with a fleet of modern, technically advanced AC triple (TA²CT) rigs—designed to maximize efficiency while minimizing costly downtime and labor expenses.


Job Summary

We are seeking an experienced MPD Engineer with a strong background in Python programming and data analysis. The ideal candidate will have hands-on expertise in MPD operations, real-time data processing, and automation of drilling workflows. The role requires understanding of MPD methodologies, downhole dynamics, and the ability to develop analytical tools to optimize drilling performance.


Key Duties and Responsibilities

  • Manage all aspects of project planning, proposal development, and program execution for MPD wells.
  • Prepare and deliver technical presentations and detailed reports on complex MPD projects and topics.
  • Collaborate with the R&D team to support the development and enhancement of proprietary MPD software.
  • Assist the sales team in client meetings, presentations, and providing technical expertise and support.
  • Provide remote and on-site engineering support to Opla personnel and clients.
  • Ensure full compliance with Opla’s safety policies, procedures, and corporate standards.
  • Deliver 24/7 engineering support for active field operations as required.
  • Design, implement, and optimize MPD strategies to enhance drilling performance and well control.
  • Develop and deploy Python-based data analysis tools for real-time drilling data monitoring and informed decision-making.
  • Analyze surface and downhole data to generate insights on wellbore pressure, flow dynamics, and drilling efficiency.
  • Work closely with drilling teams to improve MPD workflows, automation systems, and predictive modeling capabilities.
  • Ensure all MPD operations comply with applicable HSE and regulatory standards.
  • Support remote operations and assist in troubleshooting MPD systems in real time.
  • Provide technical support and feedback for MPD software improvements and new feature development.


Qualifications & Requirements

  • Bachelor’s degree in Petroleum, Chemical, or Mechanical Engineering (minimum requirement).
  • Recent graduate with a minimum of 1 year of experience in drilling engineering or operations, preferably with exposure to Managed Pressure Drilling (MPD).
  • Holds or is eligible to obtain E.I.T. certification.
  • Shift work required, with a hybrid schedule split between home and Opla’s office.
  • Willing to travel as needed, including occasional trips to remote sites or international locations.
  • Strong proficiency in Python and Power BI (or similar tools) for data analysis, automation, and scripting.
  • Experience with real-time drilling data, machine learning algorithms, and IoT applications.
  • Solid understanding of drilling hydraulics, pressure control, and wellbore stability.
  • Practical experience with MPD software, surface control systems, and well control methodologies.
  • Excellent communication, interpersonal, and leadership skills.
  • Demonstrated willingness to learn and collaborate effectively in a team environment.
  • Ability to work independently in a fast-paced, high-energy setting.
  • Strong organizational skills with the ability to prioritize multiple tasks effectively.
  • Consistently maintains a professional and friendly demeanor.
  • Committed to upholding Opla’s Core Values.
  • Must possess a valid driver’s license.

Benefits

  • Competitive salary and performance-based bonuses.
  • Opportunity to work on innovative MPD projects with advanced technologies.
  • Professional development programs and training.
  • Collaborative and inclusive work environment.