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Remote Data Analytics Intern Jobs in Calgary, AB

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

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 ...

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 ...

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

Solution Architect

Calgary, AB · Remote

  • Medical

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

Targeted Talent

Senior QA Automation Engineer

Calgary, AB · Remote

  • Medical

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

Targeted Talent

Senior QA Engineer

Calgary, AB · Remote

  • Medical

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

Targeted Talent

Solution Architect

Calgary, AB · Remote

  • Medical

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

Targeted Talent

Senior QA Engineer

Calgary, AB · Remote

  • Medical

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

Targeted Talent

Senior QA Automation Engineer

Calgary, AB · Remote

  • Medical

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

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Remote Data Analytics Intern information

What does a remote data analytics intern do?

A Remote Data Analytics Intern assists companies in collecting, processing, and analyzing data to support business decisions, all while working from a remote location. Their responsibilities often include cleaning datasets, creating reports, visualizing data trends, and sometimes developing predictive models under the guidance of experienced analysts. Interns use tools like Excel, Python, R, or SQL to handle data tasks and may participate in virtual meetings to discuss findings and recommendations. This role helps interns gain practical experience in data analysis, problem-solving, and communication within a professional remote setting.

What are the key skills and qualifications needed to thrive as a remote data analytics intern, and why are they important?

To thrive as a Remote Data Analytics Intern, you need foundational knowledge in statistics, data analysis, and proficiency with data manipulation, typically supported by coursework in data science or a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often expected. Strong communication, time management, and self-motivation are crucial soft skills for collaborating remotely and delivering results independently. These skills enable effective data-driven insights and ensure productivity in a virtual work environment.

What are some common challenges faced by remote data analytics interns and how can they overcome them?

Remote Data Analytics Interns often encounter challenges like maintaining clear communication with team members, staying self-motivated, and accessing necessary data or tools. To overcome these, it's important to proactively schedule check-ins with supervisors, utilize collaboration platforms (like Slack or Microsoft Teams), and clarify data access protocols early on. Setting a structured daily routine and keeping detailed notes can also help interns stay organized and productive while working remotely.

What is the difference between Remote Data Analytics Intern vs Remote Data Analyst?

AspectRemote Data Analytics InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree and may have some professional experience in data analysis
Work EnvironmentInternship, often part-time or temporary, with mentorship and trainingFull-time or part-time remote role with independent responsibilities
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineUsed by organizations for ongoing data analysis and decision support

The main difference between a Remote Data Analytics Intern and a Remote Data Analyst lies in experience and responsibilities. Interns are typically students or recent graduates gaining practical experience, while Data Analysts are more experienced professionals performing ongoing data analysis tasks. Internships serve as training roles, whereas Data Analysts handle continuous, independent work in data-driven decision-making.

Is a remote data analytics intern worth it?

A remote data analytics intern position provides valuable experience in data analysis, tools like Excel, SQL, and Python, and often offers flexible schedules. It can enhance skills and improve employability, making it a worthwhile opportunity for those seeking entry-level experience in data analytics.

What are the most commonly searched types of Remote Data Analytics jobs in Calgary, AB?

The most popular types of Remote Data Analytics jobs in Calgary, AB are:

What are popular job titles related to Remote Data Analytics Intern jobs in Calgary, AB?

For Remote Data Analytics Intern jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Intern jobs in Calgary, AB look for?

The top searched job categories for Remote Data Analytics Intern jobs in Calgary, AB are:

Remote Data Analytics Intern jobs near you
Infographic showing various Remote Data Analytics Intern job openings in Calgary, AB as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB • Remote

Contractor

Posted 12 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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