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Field Data Analyst Jobs (NOW HIRING)

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring operational data is accurate and actionable. Responsibilities : • Validate ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring that operational data is accurate and actionable. Responsibilities : • Validate ...

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

The Network Data Analyst will manage and optimize data from LG Field Service systems, focusing on building and automating data structures to enhance field operations and performance analysis.

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

The Network Data Analyst will manage and optimize data from LG Field Service systems, focusing on building and automating data structures to enhance field operations and territory mapping analysis.

LG Electronics

Network Data Analyst

Huntsville, AL

The Network Data Analyst will act as the primary point of contact for managing and optimizing data ... A key responsibility is visualizing Field Service performance through dynamic dashboards and ...

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Data integration * ETL Development Qualifications ... Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 1-3 ...

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data

ExxonMobil

Field Analytics Data Analyst

Midland, TX · On-site

The Field Analytics Data Analyst will support operational and strategic decision-making by implementing data pipelines and business intelligence, conducting data analysis, and creating visualizations ...

ExxonMobil

Field Analytics Data Analyst

Midland, TX · On-site

What role you will play in our team As a member of the Continuous Improvement Permian Field Analytics Team, the Field Analytics Data Analyst supports operational and strategic decision-making for ...

ExxonMobil

Field Analytics Data Analyst

Midland, TX · On-site

What role you will play in our team As a member of the Continuous Improvement Permian Field Analytics Team, the Field Analytics Data Analyst supports operational and strategic decision-making for ...

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Field Data Analyst information

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$34K

$82.6K

$136K

How much do field data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for field data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Field Data Analyst vs Data Analyst?

AspectField Data AnalystData Analyst
Required CredentialsBachelor's in relevant field, data analysis certificationsBachelor's in related field, data analysis certifications
Work EnvironmentOn-site, outdoor, or remote field locationsOffice, remote, or hybrid office settings
Industry UsageIndustries like agriculture, environmental, utilitiesBusiness, finance, marketing, healthcare
Common Search/ComparisonOften compared for fieldwork vs office workMore general data analysis roles

The main difference between a Field Data Analyst and a Data Analyst lies in their work environment and focus. Field Data Analysts primarily work outdoors or at specific sites collecting data firsthand, often in industries like agriculture or environmental services. Data Analysts typically work in office settings analyzing data collected from various sources. Both roles require similar educational backgrounds and certifications, but their daily tasks and work environments differ significantly.

What fields can data analysts work in?

Data analysts can work in a wide range of fields including finance, healthcare, marketing, technology, retail, and government. They analyze data to support decision-making, often using tools like Excel, SQL, and data visualization software, and may require industry-specific knowledge or certifications.

What are the key skills and qualifications needed to thrive as a Field Data Analyst, and why are they important?

To excel as a Field Data Analyst, you need strong analytical abilities, data interpretation skills, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data collection tools, GIS software, and statistical analysis programs like Excel, SPSS, or R is commonly required. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating with teams and reporting findings. These competencies ensure accurate data gathering and insightful analysis, driving informed decisions in diverse field environments.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the need for skilled analysts who understand context and business needs.

What are Field Data Analysts?

Field Data Analysts are professionals who collect, process, and analyze data gathered directly from field operations or on-site activities. Their work often involves traveling to various locations to gather real-time data, ensuring its accuracy and relevance. They use statistical tools and data management software to interpret findings and provide actionable insights to support decision-making. Field Data Analysts play a key role in industries such as environmental science, market research, construction, and agriculture by helping organizations make data-driven choices based on field observations.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data scientists, operations analysts, and financial analysts. Each type specializes in different areas such as strategic decision-making, statistical modeling, process improvement, or financial analysis, often requiring specific skills and tools like SQL, Excel, or Python.

What are some common challenges faced by Field Data Analysts when collecting and interpreting data onsite?

Field Data Analysts often encounter challenges such as inconsistent data quality due to environmental factors, limited connectivity for data transmission, and tight time constraints for onsite analysis. Working in the field requires adaptability, as conditions can change rapidly and may impact the accuracy or completeness of data collected. Effective communication and collaboration with onsite teams are essential to ensure that data is properly understood and integrated with larger datasets. Overcoming these challenges helps build valuable problem-solving skills and opens up opportunities for advancement into more senior analytical or project management roles.

Is 40 too late for data science?

A Field Data Analyst role typically values relevant skills and experience over age. Many professionals successfully transition into data science at age 40 or later by acquiring skills in programming, statistics, and tools like Python or SQL, often through online courses or certifications. Age should not be a barrier if you build a strong skill set and gain practical experience.
More about Field Data Analyst jobs
What cities are hiring for Field Data Analyst jobs? Cities with the most Field Data Analyst job openings:
What job categories do people searching Field Data Analyst jobs look for? The top searched job categories for Field Data Analyst jobs are:
Field Data Analyst jobs near you
Infographic showing various Field Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Field Data Analyst

FieldAI

Irvine, CA

$75K - $115K/yr

Full-time

Posted 5 hours ago

Job description

Job Title: Field Data Analyst
Location: Irvine, CA
Job Type: Full time
Prefer Local Candidates
 
 
 
Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
Learn more at https://fieldai.com.
About the role:

We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.

The analyst will support both Data Delivery QA and Field Performance Audits, helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers.
Key Responsibilities
Data Validation & Quality Assurance
    • Validate mission datasets generated by deployed robots.
    • Perform completeness, schema, and integrity checks on field data.
    • Identify corrupted, incomplete, or anomalous datasets.
    • Support QA processes before datasets are used for analysis or reporting.
Field Data Analysis
    • Analyze operational logs and mission data to identify trends or anomalies.
    • Investigate system behavior using telemetry and mission outputs.
    • Support root-cause analysis by extracting insights from field datasets.
Client Reporting & Insights
    • Generate clear performance reports and summaries for customers.
    • Translate technical data into understandable insights.
    • Support periodic reporting on autonomy performance and system behavior.
Operational Support
    • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
    • Assist in identifying recurring operational problems from data.
    • Provide validated datasets to engineering teams for debugging.
Process Improvement
    • Improve internal data validation workflows.
    • Support development of automated checks and dashboards.
    • Maintain documentation of datasets, reporting templates, and QA procedures.
Required Qualifications
  • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field
  • Strong analytical skills with ability to work with messy operational datasets
  • Proficiency in Python, SQL, or similar data analysis tools
  • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)
  • Strong problem-solving ability and attention to detail
Preferred Qualifications
  • Experience working with robotics, autonomy systems, IoT, or sensor data
  • Familiarity with time-series data, logs, or telemetry
  • Experience with data pipelines or ETL workflows
  • Experience generating reports for external stakeholders
$75,000 - $115,005 a year
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
 
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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