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Environmental Data Analyst 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 ... Although the new environment is intended to become the authoritative source, millions of records ...

Strathcona Resources Ltd

Data Analyst

Calgary, AB · On-site

Experience working within governed analytics environments and following established BI standards * Experience supporting self-service analytics initiatives * Understanding of data lake concepts

CASA Mental Health

Evaluation and Data Analyst

Edmonton, AB · On-site

CA$34.99 - CA$45.74/hr

The Evaluation and Data Analyst will: * Develop and implement evaluation frameworks and logic ... Experience developing evaluation plans and/or frameworks, preferably in a healthcare environment.

Capital Power

Sr. Analyst, Market Data

Calgary, AB

We provide purpose-driven work in a safe and inclusive environment, and we live by our North Star ... The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk ...

Data Elephant Inc

Business Analyst

Calgary, AB · On-site

Thrives in a fast-paced consulting environment. * Enjoys solving complex business and data ... Work on impactful data, analytics, and AI projects across Canada's most important industries.

Ellement Consulting Group

Pension Analyst

Edmonton, AB · On-site

Quality control of year-end data input and verification of program output, including Annual Benefit ... paced environment. * Excellent written and verbal communication skills, with the ability to ...

Krux Analytics

Data Architect

Calgary, AB · On-site

Data Architect At Krux, Innovation Happens Together, by being a true partner to our customers, by ... Monitor and improve analytical database performance in cloud environments * Conduct model tuning ...

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Environmental Data Analyst information

What does an environmental data analyst do?

An Environmental Data Analyst collects, processes, and interprets environmental data to assess trends, monitor ecosystems, and support sustainability initiatives. They work with large datasets from sources like air quality monitors, water testing stations, and climate sensors. Using statistical and analytical tools, they identify patterns, create reports, and provide insights to help organizations make informed environmental decisions. Their work is essential in regulatory compliance, conservation efforts, and climate change research.

What are the key skills and qualifications needed to thrive as an environmental data analyst?

To thrive as an Environmental Data Analyst, you need a strong background in environmental science, statistics, and data analysis, often supported by a relevant bachelor's or master's degree. Familiarity with data analysis tools such as R, Python, GIS software, and database management systems, as well as certifications like Certified Environmental Data Scientist (CEDS), are highly beneficial. Attention to detail, problem-solving abilities, and effective communication skills help individuals excel in interpreting data and presenting findings to stakeholders. These competencies are crucial for ensuring accurate environmental assessments and supporting data-driven decision-making within organizations and regulatory frameworks.

What are the main challenges environmental data analysts face in their daily work?

One of the main challenges Environmental Data Analysts encounter is managing and interpreting large, complex datasets from diverse sources such as sensors, surveys, and monitoring equipment. Ensuring data accuracy, dealing with incomplete or inconsistent information, and keeping up with evolving environmental regulations can be demanding. Collaborating with multidisciplinary teams—such as engineers, project managers, and regulators—also requires strong communication skills to turn raw data into actionable insights. However, these challenges make the work dynamic and provide opportunities for continuous learning and professional growth.

What are the most commonly searched types of Environmental Data Analyst jobs in Alberta?

The most popular types of Environmental Data Analyst jobs in Alberta are:

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

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

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

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

Environmental Data Analyst jobs near you
Infographic showing various Environmental Data Analyst job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB • Remote

Contractor

Posted 17 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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