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Remote Amazon Data Analyst 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

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 · 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 ...

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Remote Amazon Data Analyst information

What are some common challenges faced by remote Amazon data analysts, and how can they be addressed?

Remote Amazon Data Analysts often face challenges related to collaborating across different time zones and accessing proprietary data securely. Staying aligned with cross-functional teams—such as marketing, supply chain, and product management—requires effective communication and proactive updates. Utilizing project management tools, scheduling regular virtual meetings, and maintaining thorough documentation can help bridge these gaps. Additionally, understanding Amazon's unique data structures and tools is essential for accurate analysis and reporting.

What does a remote Amazon data analyst do?

A Remote Amazon Data Analyst is responsible for collecting, analyzing, and interpreting data related to Amazon's sales, customer behavior, and marketplace trends. They use various tools and software to generate reports and insights that help businesses optimize their Amazon strategies. Working remotely, they collaborate with teams to identify growth opportunities, monitor performance metrics, and support decision-making. Their work often involves using Excel, SQL, and data visualization platforms to turn raw data into actionable insights.

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

To thrive as a Remote Amazon Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python, and Amazon analytics platforms like AWS QuickSight is typically required, along with experience in data visualization and reporting. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for collaborating across teams and presenting insights. These competencies are crucial for driving data-driven decisions that optimize business performance and support Amazon’s operational goals.

Oracle Data Analyst

Data Elephant Inc

Calgary, AB • Remote

Contractor

Posted 6 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