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Data Analyst Computer Science Jobs in Hill Air Force Base, UT

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Technical Data Analyst

Salt Lake City, UT · On-site

$77K - $100K/yr

Bachelor's degree in Engineering, Data Science, Business Analytics, Computer Science, or a related field preferred; equivalent technical or industry experience will also be considered. * 2-5 years of ...

Omnicom

Data Analyst

Salt Lake City, UT · On-site

Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data capabilities ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This practice integrates CRM platform expertise, journey management, and first-party data capabilities with ...

AVA Consulting

Data Analyst

Salt Lake City, UT · On-site

Required Qualifications : * 3-5 years of relevant experience in either data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a ...

Gehc

Service Data Scientist

Salt Lake City, UT

Develop analytics to address customer needs and opportunities. Work alongside software developers ... Education Qualification Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology ...

iNovex Information Systems

Data Scientist 2

Ogden, UT · On-site

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Hill Air Force Base, UT

Data Analyst Computer Science information

See Hill Air Force Base, UT salary details

$31.3K

$76K

$125.1K

How much do data analyst computer science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data analyst computer science in Hill Air Force Base, UT is $76,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,200.00 per year, depending on experience, location, and employer.

What is a data analyst in computer science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

How does a data analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

What cities near Hill Air Force Base, UT are hiring for Data Analyst Computer Science jobs?

Cities near Hill Air Force Base, UT with the most Data Analyst Computer Science job openings:

Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Hill Air Force Base, UT as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 75% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $76,013 per year, or $36.5 per hour.

Technical Data Analyst

Salt Lake City, UT • On-site

Professional Recruiters
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Professional Recruitersexternal

$77K - $100K/yr

Full-time

Medical, Dental, PTO

Posted 6 days ago

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Job description

Position Summary

We are seeking a detail-oriented and technically skilled Production Engineer / Technician to support oil and gas production operations through data analysis, reporting, system management, and operational improvement. This position works closely with engineering, operations, and field teams to monitor production performance, identify inefficiencies, improve reporting processes, and support regulatory compliance.

The ideal candidate combines an understanding of oilfield operations with strong analytical and technical skills. Experience with production management systems such as WellView and ProdView, along with tools such as Power BI, Spotfire, and Excel, is highly desirable.

Key Responsibilities

Production & Operational Support

  • Monitor and analyze daily production volumes, downtime, equipment performance, and other key operating metrics.
  • Identify production trends, anomalies, and opportunities to improve operational efficiency and reduce costs.
  • Assist engineering and field teams with production analysis, troubleshooting, and performance reporting.
  • Work with operations personnel to validate production data and investigate discrepancies.
  • Support continuous improvement initiatives related to production performance, reliability, and operational efficiency.

Data Management & Reporting

  • Collect, validate, organize, and maintain production and operational data from WellView, ProdView, SCADA, and other systems.
  • Develop and maintain dashboards and reports used to track production KPIs, equipment performance, downtime, and operational trends.
  • Perform routine data quality checks to ensure information is accurate, consistent, and complete.
  • Prepare daily, weekly, and monthly production reports for engineering, operations, and management.
  • Develop Excel-based tools, models, and reports using advanced formulas, pivot tables, and other analytical functions.

Systems & Data Visualization

  • Develop and maintain dashboards using Power BI, Spotfire, Tableau, or similar visualization platforms.
  • Improve the accessibility and usability of production and operational data for field and management teams.
  • Assist with the development and optimization of automated reporting processes.
  • Use SQL, Python, or similar tools for data extraction and analysis when applicable.
  • Identify opportunities to eliminate manual processes and improve the efficiency of data collection and reporting.

Regulatory & Compliance Support

  • Assist with the preparation and submission of required production and regulatory reports.
  • Maintain accurate documentation for audits, inspections, and internal reporting requirements.
  • Support compliance with applicable local, state, and federal oil and gas regulations.
  • Monitor production and operational information for potential reporting or compliance issues.

Collaboration & Process Improvement

  • Work closely with production engineers, field personnel, operations teams, and management to provide accurate and timely information.
  • Translate production data into practical recommendations that support operational decision-making.
  • Provide support and training related to production systems, dashboards, reporting tools, and data-entry procedures.
  • Recommend improvements to data collection, reporting, and operational workflows.
  • Support technology and digital transformation initiatives designed to improve production visibility and operational performance.

Qualifications

  • Bachelor’s degree in Engineering, Data Science, Business Analytics, Computer Science, or a related field preferred; equivalent technical or industry experience will also be considered.
  • 2–5 years of relevant experience, preferably within oil and gas, energy, production operations, or a related industrial environment.
  • Experience with WellView, ProdView, or similar oilfield production and operations software.
  • Strong proficiency with Microsoft Excel, including formulas, pivot tables, and data analysis.
  • Experience with Power BI, Spotfire, Tableau, or similar reporting and visualization tools.
  • Working knowledge of SCADA systems and production data preferred.
  • SQL, Python, scripting, or database experience is a plus.
  • Understanding of oilfield operations, production processes, equipment performance, and production metrics.
  • Familiarity with regulatory and environmental reporting requirements within the oil and gas industry is preferred.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent attention to detail and commitment to data accuracy.
  • Ability to communicate effectively with engineers, field personnel, management, and other stakeholders.
  • Self-motivated, adaptable, and able to manage multiple priorities in a fast-paced operational environment.

Ideal Candidate

The successful candidate will be comfortable working at the intersection of production operations, engineering, and data. This individual enjoys digging into production information, identifying problems, improving processes, and providing engineers and field teams with reliable information they can use to make better operational decisions.

Company Description

This company offers the opportunity to grow rapidly professionally. They have great mentors. This is a company where you can grow very quickly professionally.