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Remote Golf Data Analytics Jobs in Calgary, AB (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

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Remote Golf Data Analytics information

What is a remote golf data analytics professional?

A Remote Golf Data Analytics job involves analyzing data related to golf, such as player performance, course statistics, and tournament outcomes, while working from a remote location. Professionals in this role use statistical tools and software to gather insights, create reports, and help improve decision-making for golf teams, organizations, or technology platforms. Responsibilities may include data collection, model building, and interpreting trends to enhance player development or fan engagement. Working remotely allows analysts to collaborate with clients or teams worldwide, often using cloud-based systems and communication tools.

What are some common challenges faced by professionals in remote golf data analytics roles, and how can they be addressed?

Remote golf data analytics professionals often encounter challenges like accessing real-time data from various courses, ensuring data accuracy, and effectively communicating insights to non-technical stakeholders. To address these, it's important to establish clear data collection protocols, leverage secure cloud-based analytics platforms, and maintain regular virtual meetings with team members and golf professionals. Building strong communication skills and staying up-to-date with the latest analytics tools can also help overcome these challenges and contribute to successful project outcomes.

What are the key skills and qualifications needed to thrive as a remote golf data analytics professional?

To excel in Remote Golf Data Analytics, you need strong analytical skills, a background in statistics or data science, and knowledge of golf performance metrics. Familiarity with data analysis tools such as Python, R, SQL, and golf-specific software is typically required, along with certifications in data analytics or sports analytics being advantageous. Excellent communication, attention to detail, and problem-solving skills help translate complex data into actionable insights for coaches and athletes. These competencies are essential to drive data-informed decision-making and improve player performance in the competitive golf industry.
What are popular job titles related to Remote Golf Data Analytics jobs in Calgary, AB? For Remote Golf Data Analytics jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Remote Golf Data Analytics jobs in Calgary, AB look for? The top searched job categories for Remote Golf Data Analytics jobs in Calgary, AB are:
Infographic showing various Remote Golf Data Analytics job openings in Calgary, AB as of August 2026, with employment types broken down into 7% Internship, 62% Full Time, 14% Part Time, and 17% 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