2

Remote Data Analyst Logistics 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

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

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 ...

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 ...

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 ...

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 ...

Senior Manager - Data Engineering

Calgary, AB ยท 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 ...

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 ...

... data visualization report writing analytical thinking critical thinking About micro1 micro1 is the ... Contractor Location: Remote micro1 is engaging Management Consultant / Business Strategy ...

... data visualization report writing analytical thinking critical thinking About micro1 micro1 is the ... Contractor Location: Remote micro1 is engaging Management Consultant / Business Strategy ...

... data visualization report writing analytical thinking critical thinking About micro1 micro1 is the ... Contractor Location: Remote micro1 is engaging Management Consultant / Business Strategy ...

next page

Showing results 1-20

Remote Data Analyst Logistics information

Can I work in logistics remotely?

Remote data analyst roles in logistics are increasingly available, especially with the use of data analysis tools like Excel, SQL, and visualization software. These positions often require strong analytical skills and may involve collaboration through online platforms, making remote work feasible for qualified candidates.

Are remote data analyst logistics in high demand?

Remote data analyst logistics roles are in high demand due to the increasing need for data-driven decision making in supply chain and transportation management. Employers seek professionals skilled in data analysis tools like Excel, SQL, and visualization software to optimize logistics operations remotely.

How does a remote data analyst in logistics typically collaborate with cross-functional teams to optimize supply chain processes?

As a Remote Data Analyst in logistics, you will frequently collaborate with supply chain managers, IT specialists, and operations teams through virtual meetings and shared data platforms. Your role involves interpreting large datasets to identify trends, inefficiencies, and improvement opportunities, and then communicating actionable insights to stakeholders. Regular collaboration ensures data-driven decisions are aligned with organizational goals, and you may also assist in developing dashboards or reports for ongoing performance monitoring. This teamwork is essential in optimizing inventory management, transportation routes, and overall supply chain effectiveness.

What is the difference between Remote Data Analyst Logistics vs Remote Data Analyst Supply Chain?

AspectRemote Data Analyst LogisticsRemote Data Analyst Supply Chain
Required CredentialsBachelor's in Logistics, Supply Chain, or related field; data analysis certificationsBachelor's in Supply Chain Management, Business Analytics, or related; data analysis certifications
Work EnvironmentLogistics companies, transportation firms, warehousingManufacturers, retailers, distribution centers
Employer & Industry UsageLogistics and freight companiesSupply chain and procurement sectors
Search & Comparison IntentFocus on logistics operations and transportation dataFocus on overall supply chain processes and procurement data

Remote Data Analyst Logistics primarily focuses on analyzing transportation, warehousing, and logistics operations, while Remote Data Analyst Supply Chain covers broader supply chain processes including procurement and inventory management. Both roles require similar skills and certifications but differ in industry focus and work environment.

Is it possible to work remotely as a remote data analyst logistics?

Remote data analyst logistics roles are increasingly available, allowing professionals to analyze supply chain and transportation data from home. These positions often require proficiency with data analysis tools, such as Excel, SQL, or Tableau, and good communication skills for remote collaboration.

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

To thrive as a Remote Data Analyst in Logistics, you need strong analytical skills, expertise in data modeling, and a background in logistics or supply chain management, often supported by a relevant degree. Proficiency in tools such as SQL, Excel, Tableau, and experience with logistics management systems or ERP software is typically required. Excellent problem-solving, attention to detail, and clear communication skills help you work independently and convey insights to cross-functional teams. These capabilities are crucial for optimizing supply chain operations, driving efficiency, and supporting data-driven decision-making in a remote environment.

What does a remote data analyst in logistics do?

A Remote Data Analyst in Logistics is responsible for collecting, analyzing, and interpreting data related to supply chain operations, shipping, inventory, and transportation. They use various analytical tools to identify trends, optimize processes, and help their organization make data-driven decisions to improve efficiency and reduce costs. Working remotely, they collaborate with teams using digital communication tools and often create reports or dashboards to present their findings to stakeholders.
What are popular job titles related to Remote Data Analyst Logistics jobs in Calgary, AB? For Remote Data Analyst Logistics jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Logistics jobs in Calgary, AB look for? The top searched job categories for Remote Data Analyst Logistics jobs in Calgary, AB are:
Infographic showing various Remote Data Analyst Logistics job openings in Calgary, AB as of July 2026, with employment types broken down into 4% Internship, 68% Full Time, 7% Part Time, and 21% Contract. Highlights an 100% Remote job distribution.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB โ€ข Remote

Contractor

Posted 5 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