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Remote Oil Gas Data Analyst Jobs in Arizona (NOW HIRING)

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

Sr. Data Analyst

Tempe, AZ ยท On-site +1

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Sr. Data Analyst

Tempe, AZ ยท On-site +1

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul ...

Supply Chain Data Analyst

Phoenix, AZ ยท On-site +1

$31 - $33.65/hr

... data analysis, supply chain analytics, materials planning, or a similar analytical role * Strong ... We offer flexible work options, including remote arrangements, to support the need of the role and ...

$22 - $25.50/hr

REMOTE OPTIONS, PHOENIX Categories: Real Estate and Land Management LAND DEPARTMENT Since its ... oil and gas lease applications, assignment applications, extension applications, and new removals ...

New

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

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Remote Oil Gas Data Analyst information

What does a remote oil gas data analyst do?

A Remote Oil Gas Data Analyst is responsible for collecting, analyzing, and interpreting data related to oil and gas exploration, production, and operations. They use specialized software and data management tools to identify trends, create reports, and help companies make data-driven decisions. Working remotely, they collaborate with engineers, geologists, and other stakeholders to optimize processes, improve efficiency, and support business objectives. Their work is crucial for enhancing operational performance and ensuring regulatory compliance in the oil and gas industry.

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

To thrive as a Remote Oil Gas Data Analyst, you need strong analytical skills, a background in geology or petroleum engineering, and experience with data interpretation specific to the oil and gas industry. Proficiency in data analysis tools such as SQL, Python, and specialized industry software like Petrel or Spotfire, along with knowledge of SCADA systems, is typically required. Excellent problem-solving abilities, attention to detail, and effective remote communication skills set standout candidates apart. These skills are crucial for extracting actionable insights from complex datasets and supporting informed, data-driven decisions in a technically demanding and remote work environment.

How do remote oil gas data analysts typically collaborate with on-site teams to ensure data accuracy and effective reporting?

Remote Oil Gas Data Analysts frequently work with on-site engineers, geologists, and field operators via digital communication tools like video calls, shared dashboards, and cloud-based databases. Regular virtual meetings and real-time data sharing are critical to clarify anomalies, validate field data, and align on project objectives. Building strong communication channels is essential for resolving discrepancies quickly and maintaining high-quality reporting. This collaborative environment allows remote analysts to stay connected to field operations and contribute valuable insights despite being off-site.

What is the difference between Remote Oil Gas Data Analyst vs Remote Petroleum Geologist?

AspectRemote Oil Gas Data AnalystRemote Petroleum Geologist
Required CredentialsBachelor's in Data Science, Geology, or related field; certifications in data analysis or GISBachelor's or higher in Geology or Earth Sciences; certifications in petroleum geology
Work EnvironmentPrimarily office or remote; data-focused tasksRemote or field; geological surveys and analysis
Industry UsageUsed across oil and gas companies for data management and analysisUsed for exploration, drilling, and reservoir evaluation

The main difference is that Remote Oil Gas Data Analysts focus on analyzing data related to oil and gas operations, while Remote Petroleum Geologists interpret geological data for exploration and extraction. Both roles require relevant credentials and can be performed remotely, but their core responsibilities differ significantly.

What are the most commonly searched types of Oil Gas Data Analyst jobs in Arizona?

The most popular types of Oil Gas Data Analyst jobs in Arizona are:

What job categories do people searching Remote Oil Gas Data Analyst jobs in Arizona look for?

The top searched job categories for Remote Oil Gas Data Analyst jobs in Arizona are:

What cities in Arizona are hiring for Remote Oil Gas Data Analyst jobs?

Cities in Arizona with the most Remote Oil Gas Data Analyst job openings:

Infographic showing various Remote Oil Gas Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Analyst (REMOTE)

Arsenault Inc

Phoenix, AZ โ€ข Remote

$115K - $126K/yr

Full-time

Re-posted 6 days ago


Job description

Responsibilities

Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities

Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.

Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.

Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; Designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

Other Duties as Assigned

Supervisory Responsibilities

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION And EXPERIENCE

Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.

Communication Skills

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES

Experience with Microsoft BI stack (e.g., SSRS) a bonus.

Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.

Strong analytical skills.

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado.

If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay.

ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.