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New Grad Data Analyst Jobs in Alberta (NOW HIRING)

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 ...

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk ... Conduct or coordinate independent validation of all new and materially modified price curve models ...

Enrolling new employees and setting up pension plan participation accurately and efficiently ... Maintaining member records and data, ensuring information is complete, current, and accurately ...

Enrolling new employees and setting up pension plan participation accurately and efficiently ... Maintaining member records and data, ensuring information is complete, current, and accurately ...

Quality control of year-end data input and verification of program output, including Annual Benefit ... Coordinate new business implementation with account management and implementation teams * Perform ...

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New Grad Data Analyst information

What is a new grad data analyst?

A New Grad Data Analyst is an entry-level role for recent graduates who analyze data to help organizations make informed decisions. They work with datasets, clean and visualize data, and generate insights using tools like SQL, Python, Excel, and Tableau. These analysts collaborate with teams to solve business problems and improve processes. The role provides opportunities to develop technical skills and gain experience in data-driven decision-making.

What are the typical daily responsibilities for a new grad data analyst?

As a New Grad Data Analyst, your daily responsibilities may include gathering and cleaning raw data, running analyses to identify trends or patterns, and generating reports or dashboards to share your findings. You’ll often work closely with other analysts, team leads, or business stakeholders to understand their data needs and help translate business questions into analytical solutions. Expect regular collaboration in meetings, presentations of your insights, and the opportunity to get hands-on practice with various data tools. Over time, you may also participate in larger projects or support process improvements based on your analyses.

What are the key skills and qualifications needed to thrive in the new grad data analyst position, and why are they important?

To thrive as a New Grad Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, usually supported by a degree in a quantitative field. Familiarity with technical tools like SQL, Excel, Python or R, and data visualization software such as Tableau or Power BI is highly valued. Strong communication skills, attention to detail, and a proactive willingness to learn help new grads excel in collaborative, data-driven environments. These skills are crucial because they enable you to effectively turn data into actionable insights and contribute to informed business decisions.

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

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

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

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

What cities in Alberta are hiring for New Grad Data Analyst jobs?

Cities in Alberta with the most New Grad Data Analyst job openings:

Infographic showing various New Grad Data Analyst job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

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