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At Home Data Analyst Jobs in Alberta (NOW HIRING)

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 ...

We are seeking a skilled Contract Data Analyst to join our Analytics team in Calgary for an 18-month term. Reporting to the Team Lead, Analytics, you will work closely with internal stakeholders and ...

HubSpot Data Analyst / CRM Specialist (Contract) Our client, a growing Calgary-based technology and ... At the heart of our efforts is a collaborative, consultative approach. We are proud of our team of ...

Our people are at the core of our journey to deliver reliable, affordable, and lower-carbon power ... Working Conditions: * Hybrid office/workfromhome environment. * Minimal travel required

Data Elephant is seeking a Senior Business Analyst to join our growing consulting team. This role is ideal for an experienced BA who thrives at the intersection of business strategy, process ...

Maintaining member records and data, ensuring information is complete, current, and accurately ... Starting at $49.93 per hour . Final Wage and Step will be determined at the time of selection and ...

Pension Analyst

Edmonton, AB · On-site

CA$49.93/hr

Maintaining member records and data, ensuring information is complete, current, and accurately ... Starting at $49.93 per hour. Final Wage and Step will be determined at the time of selection and ...

At Ellement, we empower our clients with informed choices and expert advice. Our mission centers on ... Quality control of year-end data input and verification of program output, including Annual Benefit ...

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 ...

About the Department The Office of Institutional Research and Planning (OIRP) has primary responsibility for institutional strategic planning, surveying and institutional data analysis at Mount Royal.

Overview At KPMG in Canada, our people bring their unique perspectives to Canada's most important ... In addition, they provide critical support with data analysis, reporting and data visualization.

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At Home Data Analyst information

See Alberta salary details

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How much do at home data analyst jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for at home data analyst in Alberta is $27.25, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $34.86 per hour, depending on experience, location, and employer.

What is an at home data analyst?

An At Home Data Analyst is a professional who collects, processes, and interprets data from a remote location, typically their own home. They use various statistical tools and software to analyze data sets, identify trends, and generate reports that help organizations make informed decisions. This role often requires strong analytical skills, attention to detail, and proficiency with data analysis software such as Excel, SQL, or Python. At Home Data Analysts communicate their findings to stakeholders through visualizations and written reports, contributing valuable insights while enjoying the flexibility of remote work.

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

To thrive as an At Home Data Analyst, you need a solid background in statistics, data interpretation, and analytical problem-solving, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with technical tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau or Power BI is typically required, along with relevant certifications. Strong attention to detail, self-motivation, and effective communication are crucial soft skills for remote work and presenting findings clearly. These skills are essential for extracting actionable insights from data and ensuring reliable, independent work in a remote setting.

What are some of the common challenges faced by at home data analysts, and how can they be addressed?

At Home Data Analysts often encounter challenges such as limited direct collaboration with team members, staying motivated without in-person supervision, and managing data security remotely. To address these, it's important to establish regular communication using collaborative tools like Slack or Zoom, create a structured daily routine, and strictly adhere to company data privacy guidelines. Proactive engagement with colleagues and participation in virtual team meetings can also help maintain a sense of connection and keep projects on track.

Can you work from home in at home data analytics?

At home data analysts often have the opportunity to work remotely, as the role primarily involves analyzing digital data using tools like Excel, SQL, or data visualization software. Many companies offer flexible or fully remote positions for data analysts, provided candidates have strong technical skills and reliable internet access.

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

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

What cities in Alberta are hiring for At Home Data Analyst jobs?

Cities in Alberta with the most At Home Data Analyst job openings:

Infographic showing various At Home Data Analyst job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $56,685 per year, or $27.3 per hour.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB • Remote

Contractor

Posted 13 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