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Remote Cyber Security Data Analyst 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

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 ...

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 ...

By offering anytime, anywhere access to analytics and insights, we're helping our customers make ... We are currently recruiting for a Data Specialist to join our organization; this is a remote ...

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

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 ...

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 ...

... remote access, encryption, data protection, OT security, and AI security considerations ... Experience with cybersecurity governance, risk management, audits, control frameworks, and ...

The preference is for candidates in Regina, but the role is eligible for remote work and candidates ... Conducts data analysis to identify trends and patterns within large data sets. Extracts ...

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Remote Cyber Security Data Analyst information

What is a remote cyber security data analyst?

A Remote Cyber Security Data Analyst is a professional who works from a remote location to monitor, analyze, and interpret data related to an organization's cybersecurity. Their main role is to identify potential threats, detect security breaches, and provide actionable insights to help protect digital assets. They use various data analysis tools and techniques to spot vulnerabilities and unusual patterns that could indicate cyber attacks. Collaboration with other IT and security staff is essential, even while working offsite, to ensure comprehensive cybersecurity coverage. This role often requires strong analytical skills, attention to detail, and proficiency with cybersecurity frameworks and data analysis tools.

What are the key skills and qualifications needed to thrive as a remote cyber security data analyst?

To thrive as a Remote Cyber Security Data Analyst, you need strong analytical abilities, a thorough understanding of cybersecurity principles, and experience with data analysis, typically supported by a degree in computer science, cybersecurity, or a related field. Proficiency with SIEM tools, data visualization platforms, scripting languages (such as Python), and certifications like CompTIA Security+ or CISSP are highly valued. Attention to detail, problem-solving skills, and effective remote communication are crucial soft skills for excelling in this role. These competencies enable analysts to identify threats, interpret complex data, and collaborate securely and efficiently in distributed environments.

How does a remote cyber security data analyst typically collaborate with other teams while working offsite?

As a Remote Cyber Security Data Analyst, collaboration with other teams is often facilitated through digital communication tools such as video conferencing, instant messaging, and shared documentation platforms. You’ll regularly coordinate with IT, incident response, and network operations teams to analyze security data, investigate threats, and implement solutions. Clear communication and proactive updates are essential, as you'll often work across time zones and rely on structured reporting to ensure everyone stays informed. Building strong virtual relationships helps streamline workflows and ensures timely resolution of security incidents.

What is the difference between Remote Cyber Security Data Analyst vs Remote Cyber Security Engineer?

AspectRemote Cyber Security Data AnalystRemote Cyber Security Engineer
CertificationsCompTIA Security+, GIAC certificationsCertified Information Systems Security Professional (CISSP), GIAC certifications
Work EnvironmentData analysis, threat detection, reportingSystem design, implementation, security architecture
Employer UsageTech companies, finance, healthcareSecurity firms, large enterprises, government agencies

While both roles focus on cybersecurity, the Remote Cyber Security Data Analyst primarily analyzes security data to identify threats and vulnerabilities, whereas the Remote Cyber Security Engineer designs and implements security solutions. The analyst role emphasizes data interpretation and reporting, while the engineer role involves hands-on system security management.

What job categories do people searching Remote Cyber Security Data Analyst jobs in Calgary, AB look for?

The top searched job categories for Remote Cyber Security Data Analyst jobs in Calgary, AB are:

Infographic showing various Remote Cyber Security Data Analyst job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

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