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Data Analyst Engineer Jobs in Alberta (NOW HIRING)

Data Elephant Inc

Oracle Data Analyst

Calgary, AB · Remote

Senior Oracle Data Analyst - Contract We are seeking a senior Oracle Data Analyst to support a ... Support developers during remediation and validate that implemented fixes resolve the underlying ...

Mount Royal University

Data Engineer

Calgary, AB · On-site

... data analysis at Mount Royal. The Office collects, analyzes, interprets and reports data and ... Responsibilities Data Engineering Design, develop, and implement Microsoft Fabric data lakes ...

Capital Power

Sr. Analyst, Market Data

Calgary, AB · On-site

  • Retirement

  • PTO

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk ... Post-secondary degree in Finance, Economics, Mathematics, Engineering, or a related field. Advanced ...

Krux Analytics

Data Architect

Calgary, AB · On-site

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

ShyftLabs

Data Engineer

Calgary, AB

  • Medical

  • Dental

  • Vision

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 ...

Takeaway

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

Lead the build-out of Canada's Gold/semantic consumption layer with data contracts and SLAs, and retire the legacy analytics warehouse. * Partner with the Lead Data Engineer on system design of our ...

Data Elephant Inc

Business Analyst

Calgary, AB

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 ...

10 Percent Recruiting Ltd.

Data Engineer

Edmonton, AB · Hybrid

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 ...

Ellement Consulting Group

Pension Analyst

Edmonton, AB · On-site

  • Retirement

We provide actuarial, administration, software programming, and consulting solutions for pension ... Quality control of year-end data input and verification of program output, including Annual Benefit ...

HUB

Data Scientist

Calgary, AB

  • Retirement

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 ...

HUB

Data Scientist

Red Deer, AB

  • Retirement

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 ...

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All JobsData Analyst Engineer JobsData Analyst Engineer Jobs in Alberta

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:

Data Analyst Engineer jobs near you
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.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB • Remote

Contractor

Posted 12 days ago

Job description

Senior Oracle Data Analyst - Contract

We are seeking a senior Oracle Data Analyst to support a major application and database modernization initiative within the oil and gas sector. This is an initial 4-6-month contract focused on analyzing and resolving significant data discrepancies between a legacy Oracle application and its newly rebuilt replacement.


The organization is migrating data from multiple source systems into a new Oracle database while improving data transformation, prioritization, and master data management practices. Although the new environment is intended to become the authoritative source, millions of records currently do not align with the legacy system. The immediate priority is understanding why these differences exist and determining how the data should be populated.

This role is primarily analytical rather than development-focused. You will investigate data, trace legacy business rules, review SQL and PL/SQL logic, and identify whether discrepancies are caused by source data, data quality issues, transformation logic, field-mapping rules, or differences between the old and new applications.


Key responsibilities

  • Compare and reconcile large datasets across legacy and new Oracle databases.
  • Investigate approximately 7-10 million identified data discrepancies.
  • Perform detailed root-cause analysis to determine why records and fields do not match.
  • Review Oracle SQL, PL/SQL, stored procedures, and legacy application logic.
  • Trace data from multiple source systems through Informatica and PL/SQL transformations.
  • Determine the intended business rules and how individual fields should be populated.
  • Distinguish between source-data issues, transformation defects, mapping gaps, and logic differences.
  • Document findings, business rules, discrepancy patterns, and recommended resolutions.
  • Work closely with business stakeholders to validate data expectations.
  • Collaborate with architects and developers to recommend fixes that will not negatively affect other processes.
  • Support developers during remediation and validate that implemented fixes resolve the underlying issues.
  • Use AI-assisted analysis tools, where appropriate, to accelerate code review and discrepancy investigation.
  • Work independently, take ownership of assigned analysis, and communicate findings clearly to technical and business audiences.


Required qualifications

  • At least seven years of experience in data analysis, data migration, data quality, database development, or a closely related field.
  • Strong hands-on expertise with Oracle databases, Oracle SQL, and PL/SQL.
  • Demonstrated experience with large-scale data reconciliation, validation, and root-cause analysis.
  • Ability to read and understand existing database code, stored procedures, transformations, and business logic.
  • Experience investigating discrepancies between legacy and modernized systems.
  • Good understanding of ETL processes, relational databases, data warehousing, and data integration.
  • Experience translating technical findings into clear, business-friendly language.
  • Strong analytical skills, attention to detail, and a structured approach to problem-solving.
  • Ability to work with limited direction and take ownership of deliverables.
  • Previous oil and gas industry experience.


Preferred qualifications

  • Experience with Informatica.
  • Exposure to master data management and data governance.
  • Experience working with data originating from multiple operational source systems.
  • Backend application development experience.
  • Familiarity with AI tools such as GitHub Copilot or similar tools for SQL, code, and data analysis.
  • Advanced Excel skills.
  • Experience working within Agile delivery teams.


Contract details

  • Initial duration: 4-6 months
  • Work arrangement: Remote work is acceptable; alignment with the client's working time zone is preferred (MST)
  • Primary focus: Data analysis, reconciliation, and root-cause investigation
  • Industry: Oil and gas



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