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Healthcare Data Analytics Remote Jobs in Calgary, AB

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

By offering anytime, anywhere access to analytics and insights, we're helping our customers make ... Employee Assistance Program (EAP) * Healthcare Spending Account (HSA), Commuter * Lifestyle ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ... Remote + flexible work schedule * North of six figures salary + Equity + Health Spending Account ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ... Remote + flexible work schedule * North of six figures salary + Equity + Health Spending Account ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ... Remote + flexible work schedule * North of six figures salary + Equity + Health Spending Account ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ... Remote + flexible work schedule * North of six figures salary + Equity + Health Spending Account ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Remote + flexible work schedule * Competitive salary + Equity + Health Spending Account * Amazing ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Remote + flexible work schedule * Competitive salary + Equity + Health Spending Account * Amazing ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Remote + flexible work schedule * Competitive salary + Equity + Health Spending Account * Amazing ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Remote + flexible work schedule * Competitive salary + Equity + Health Spending Account * Amazing ...

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Healthcare Data Analytics Remote information

What is healthcare data analytics in a remote job setting?

Healthcare data analytics in a remote job involves collecting, processing, and interpreting health-related data to help improve patient care, reduce costs, and streamline healthcare operations, all while working from a location outside of a traditional office or healthcare facility. Analysts use tools like SQL, Python, and data visualization platforms to identify trends and provide insights to healthcare organizations. Remote roles often require strong communication and collaboration skills to work effectively with teams across different locations. This job is essential for making data-driven decisions in healthcare, supporting everything from clinical research to policy planning.

What are some common challenges faced by professionals in remote healthcare data analytics roles?

Professionals in remote healthcare data analytics often encounter challenges such as ensuring data security and patient privacy while accessing sensitive health information from various locations. Collaboration with clinicians, IT teams, and other analysts can be more complex in a virtual environment, requiring strong communication and project management skills. Additionally, navigating disparate healthcare data systems and staying updated with industry regulations like HIPAA are ongoing responsibilities. Despite these challenges, remote roles offer opportunities to work with diverse teams and cutting-edge technologies in a flexible setting.

What are the key skills and qualifications needed to thrive as a healthcare data analytics remote professional, and why are they important?

To thrive as a Healthcare Data Analytics Remote professional, you need expertise in data analysis, statistics, and healthcare systems, often supported by a degree in health informatics, statistics, or a related field. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as knowledge of HIPAA compliance, is typically required. Strong problem-solving, attention to detail, and effective communication skills help you interpret data and present actionable insights to stakeholders. These abilities are crucial for transforming complex healthcare data into insights that drive better patient outcomes and operational efficiency.

What are the most commonly searched types of Healthcare Data Analytics jobs in Calgary, AB?

The most popular types of Healthcare Data Analytics jobs in Calgary, AB are:

What job categories do people searching Healthcare Data Analytics Remote jobs in Calgary, AB look for?

The top searched job categories for Healthcare Data Analytics Remote jobs in Calgary, AB are:

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