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Hourly Remote Data Analyst Jobs in Calgary, AB (NOW HIRING)

Data Elephant Inc

Oracle Data Analyst

Calgary, AB · Remote

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

Cayenta

(Remote) Support Analyst

Calgary, AB · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Targeted Talent

Data Scientist

Calgary, AB · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Targeted Talent

Data Scientist

Calgary, AB · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Targeted Talent

Senior Data Scientist

Calgary, AB · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Targeted Talent

Senior Data Scientist

Calgary, AB · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Targeted Talent

Senior BI Analyst

Calgary, AB · Remote

This is a permanent position that is remote to start with potential later relocation to Calgary or ... Strong experience utilizing SQL to work with complex data structures * Understanding of Github and ...

Targeted Talent

Senior BI Analyst

Calgary, AB · Remote

This is a permanent position that is remote to start with potential later relocation to Calgary or ... Strong experience utilizing SQL to work with complex data structures * Understanding of Github and ...

Takeaway

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

About this role The Canadian Data & Analytics function is at an inflection point. As Skip invests ... Winnipeg/Toronto Remote Reporting to: Associate Director of Data & Insights These are some of the ...

Lifeworks

Investment Analyst

Calgary, AB · On-site +1

While we have offices in cities listed, we're fully equipped to support remote work. If you're near ... Gather qualitative and quantitative data from external managers, custodians and other data ...

WSP

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

... analysis. * Create clear and compelling data visualizations using Python and/or R. * Integrate remote sensing datasets, including satellite imagery, LiDAR, UAV/drone imagery, and Earth observation ...

WSP

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

... analysis. * Create clear and compelling data visualizations using Python and/or R. * Integrate remote sensing datasets, including satellite imagery, LiDAR, UAV/drone imagery, and Earth observation ...

Targeted Talent

Senior Infrastructure Analyst

Calgary, AB · Remote

$110K - $125K/yr

This is a permanent position, remote! Our client is a large fintech firm with a product that you've ... Servers, Data Centers and Storage to ensure our client has a robust, scalable and stable ...

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Hourly Remote Data Analyst information

What is an hourly remote data analyst?

Hourly Remote Data Analysts are professionals who work from a remote location to analyze data for organizations, typically on an hourly wage basis. Their responsibilities often include collecting, cleaning, and interpreting data to help businesses make informed decisions. They use statistical tools and software to identify trends, generate reports, and provide actionable insights. Working remotely allows them flexibility, while being paid hourly means their compensation is based on the time spent on tasks rather than a fixed salary.

What is the difference between Hourly Remote Data Analyst vs Hourly Remote Data Scientist?

AspectHourly Remote Data AnalystHourly Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentRemote, project-based, often in business or marketing sectorsRemote, research-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data interpretation for decision-makingUsed by organizations developing models, algorithms, and advanced analytics

While both roles involve working with data remotely, data analysts focus on interpreting data to inform business decisions, whereas data scientists develop models and algorithms for deeper insights. The roles share similar credentials but differ in complexity and scope.

How does working as an hourly remote data analyst impact collaboration with team members and project managers?

As an hourly remote data analyst, you’ll typically collaborate with cross-functional teams using digital communication tools like Slack, Zoom, and project management platforms. While you may have flexibility in your work hours, it’s important to align your availability with key team meetings and project deadlines. Clear communication and proactive status updates help ensure smooth collaboration and project success. You may also be expected to document your work thoroughly, making it easy for teammates in different time zones to understand your analyses and findings.

What are the key skills and qualifications needed to thrive as an hourly remote data analyst, and why are they important?

To thrive as an Hourly Remote Data Analyst, you need strong analytical skills, data interpretation abilities, and proficiency with data management, often supported by a relevant degree or equivalent experience. Familiarity with technical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Exceptional attention to detail, time management, and clear remote communication are crucial soft skills for this role. These competencies enable effective data-driven decision-making, reliable remote collaboration, and high productivity in a flexible working environment.
What are the most commonly searched types of Remote Data Analyst jobs in Calgary, AB? The most popular types of Remote Data Analyst jobs in Calgary, AB are:
What are popular job titles related to Hourly Remote Data Analyst jobs in Calgary, AB? For Hourly Remote Data Analyst jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Analyst jobs in Calgary, AB look for? The top searched job categories for Hourly Remote Data Analyst jobs in Calgary, AB are:
Hourly Remote Data Analyst jobs near you
Infographic showing various Hourly Remote Data Analyst job openings in Calgary, AB as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB • Remote

Contractor

Posted 4 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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