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Data Analyst Scrum Master Jobs in Alberta (NOW HIRING)

Senior Oracle Data Analyst - Contract We are seeking a senior Oracle Data Analyst to support a ... master data management practices. Although the new environment is intended to become the ...

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk ... Advanced degree (e.g., Master's, PhD) or professional designation (e.g., CFA, FRM, PRM) is an asset ...

Product Manager

Calgary, AB ยท On-site +1

Identify customer needs and market trends through research and data analysis. * Assess market ... Scrum Master or Agile certification is an asset. Benefits * Competitive Compensation * Extended ...

Identify customer needs and market trends through research and data analysis. * Assess market ... Scrum Master or Agile certification is an asset. Benefits * Competitive Compensation * Extended ...

Build reliable transformation workflows that support analytics, reporting, and data science ... Master's degree in Computer Science, Engineering, or related discipline. * Experience working with ...

Document analytical findings and architectural decisions clearly, and mentor team members on data best practices. Qualifications What you bring * Master's degree in Computer Science, Data Science ...

Document analytical findings and architectural decisions clearly, and mentor team members on data best practices. Qualifications What you bring * Master's degree in Computer Science, Data Science ...

Requirements Master's degree in Public Health, Health Policy, or a related field. Strong analytical skills and experience with data analysis tools. Knowledge of public health policy and regulations.

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Data Analyst Scrum Master information

What does a Data Analyst Scrum Master do?

As a Data Analyst Scrum Master, you will often split your time between performing in-depth data analysis and ensuring that Agile principles are effectively practiced within your team. This dual role requires strong organizational skills, as you'll be responsible for both delivering actionable insights from data and leading Scrum ceremonies such as daily stand-ups, sprint planning, and retrospectives. Typically, you'll collaborate closely with product owners, developers, and other analysts to prioritize work and remove impediments, ensuring that data-driven decisions are seamlessly integrated into the Agile workflow. Effective communication and time management are essential to balance these parallel responsibilities successfully.

What is a Data Analyst Scrum Master?

A Data Analyst Scrum Master is a professional who combines the analytical skills of a data analyst with the leadership and facilitation responsibilities of a Scrum Master. This hybrid role involves guiding a data team through Agile processes, helping them organize and prioritize work, and ensuring effective communication among team members. The Data Analyst Scrum Master also interprets data to provide insights and supports the team's efforts to continuously improve their workflow and outcomes. By bridging the gap between data analysis and Agile project management, they help deliver high-quality data-driven solutions efficiently.

What are the key skills and qualifications needed to thrive as a Data Analyst Scrum Master?

To thrive as a Data Analyst Scrum Master, you need expertise in data analysis, agile project management, and a foundational understanding of statistics, usually supported by a relevant degree and certifications like CSM or PSM. Familiarity with tools such as SQL, Python, Tableau, Jira, and Scrum frameworks is typically required. Strong communication, facilitation, and problem-solving skills help bridge the gap between technical teams and stakeholders while fostering collaborative environments. These combined skills ensure efficient project delivery, actionable insights, and continuous team improvement in data-driven agile settings.

Is a Data Analyst Scrum Master still in demand?

The role of a Data Analyst Scrum Master remains in demand as organizations increasingly adopt Agile methodologies and rely on data-driven decision-making. Skills in data analysis, Scrum practices, and tools like JIRA or Tableau enhance employability in this combined role, which is valued in tech, finance, and healthcare sectors.

What is the difference between Data Analyst Scrum Master vs Data Analyst Project Manager?

AspectData Analyst Scrum MasterData Analyst Project Manager
CertificationsScrum Master certifications (CSM, PSM)Project Management certifications (PMP, CAPM)
Work EnvironmentAgile teams, Scrum ceremoniesProject planning, stakeholder management
Industry UsageTech, software development, Agile organizationsVarious industries, including finance, healthcare, and IT

The Data Analyst Scrum Master focuses on facilitating Agile processes and ensuring team collaboration, often holding Scrum certifications. In contrast, the Data Analyst Project Manager manages project timelines, resources, and stakeholder communication. Both roles require strong analytical skills but differ in their primary responsibilities and work environments.

What are popular job titles related to Data Analyst Scrum Master jobs in Alberta? For Data Analyst Scrum Master jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Analyst Scrum Master jobs in Alberta look for? The top searched job categories for Data Analyst Scrum Master jobs in Alberta are:
What cities in Alberta are hiring for Data Analyst Scrum Master jobs? Cities in Alberta with the most Data Analyst Scrum Master job openings:
Infographic showing various Data Analyst Scrum Master 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.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB โ€ข Remote

Contractor

Posted 6 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