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Work From Home Data Analyst Jobs in Alberta (NOW HIRING)

Data Elephant Inc

Oracle Data Analyst

Calgary, AB · Remote

The organization is migrating data from multiple source systems into a new Oracle database while ... Work closely with business stakeholders to validate data expectations. * Collaborate with ...

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Work From Home Data Analyst information

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$7

$27

$52

How much do work from home data analyst jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for work from home data analyst in Alberta is $27.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $34.38 per hour, depending on experience, location, and employer.

What is a work from home data analyst?

Work from home data analysts have the same job duties as in-house data analysts; the main difference is that work from home data analysts complete their job duties from home or a remote location outside of the office. They use a range of methods to chart, examine, and analyze data for their clients. As a work from home data analyst, your evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Businesses use this data to make critical decisions, so once you complete your analysis, you need to create reports for management that are straightforward and easy to understand. You may also need to present your reports to stakeholders occasionally.

What are the key skills and qualifications needed to thrive as a work from home data analyst, and why are they important?

To thrive as a Work From Home Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, Python, or R, as well as visualization platforms such as Tableau or Power BI, is typically required. Excellent communication, time management, and self-motivation are crucial soft skills for remote collaboration and independent work. These competencies ensure you can extract actionable insights from data, deliver clear findings, and remain productive in a remote environment.

How do work from home data analysts typically collaborate with team members and stakeholders remotely?

Work From Home Data Analysts often use digital collaboration tools such as Slack, Microsoft Teams, and Zoom to communicate effectively with colleagues and stakeholders. They participate in virtual meetings to discuss project progress, share findings, and clarify requirements. Regular updates, shared dashboards, and documentation on platforms like Google Drive or SharePoint help maintain transparency and streamline teamwork. Building strong communication skills and proactively reaching out for feedback are key to thriving in a remote data analyst role.

What is the difference between Work From Home Data Analyst vs Data Scientist?

AspectWork From Home Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; proficiency in Excel, SQL, and visualization toolsBachelor's or master's in computer science, statistics, or related; knowledge of programming languages like Python or R
Work EnvironmentRemote, often part-time or freelance, with collaboration via online toolsPrimarily remote or in-office; involves complex data modeling and machine learning tasks
Employer & Industry UsageBusinesses across finance, marketing, healthcare, and retailTech companies, research institutions, and large enterprises

Work From Home Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Data Scientists develop advanced models and algorithms. Both roles can be remote and require analytical skills, but Data Scientists typically need more technical expertise and programming knowledge.

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For Work From Home Data Analyst jobs in Alberta, the most frequently searched job titles are:

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The top searched job categories for Work From Home Data Analyst jobs in Alberta are:

Work From Home Data Analyst jobs near you
Infographic showing various Work From Home Data Analyst job openings in Alberta as of August 2026, with employment types broken down into 81% Full Time, 9% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $56,735 per year, or $27.3 per hour.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB • Remote

Contractor

Posted 15 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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