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Field Data Analyst Jobs (NOW HIRING)

Data Analyst

Pittsburgh, PA ยท On-site +1

Our data analytics advisory services enable our customers to transform data into insights by ... Bachelor's degree in Computer Science, a related field, or equivalent experience * 2+ years of ...

Data Analyst I

Yuma, AZ ยท On-site

$81K - $95K/yr

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related) * Minimum 3+ years of professional experience in data analysis or a related field

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 ...

Data Analyst . Duration: 3+ Years Location: Brooklyn, New York 11201. REQ ID: 06022017-2DA PROJECT ... This is critical to establishing the entire universe of Mainframe fields and data currently in use ...

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related) * Minimum 3+ years of professional experience in data analysis or a related field

Data Analyst I

Yuma, AZ ยท On-site

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related) * Minimum 3+ years of professional experience in data analysis or a related field

Data Analyst Location: Atalnta, GA PRIMARY DUTIES AND RESPONSIBILITIES * Perform job ... related field from an accredited college or university AND Two years in a related lead or ...

Data Analyst Remote Product Operations' focus is to support and educate the people and businesses ... Bachelor's Degree in a technical or research-oriented field such as engineering, data science ...

Bachelor's degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields; Master's preferred. * 6-9 years of work experience involving quantitative data analysis.

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... field. Will consider an additional four years of professional relevant work experience in lieu of ...

Data Analyst

Manhattan, NY ยท On-site

$1K - $2K/yr

Bachelor's degree in Data Science, Statistics, Agriculture, or a related field. * Proven experience in data analysis and data visualization tools such as Power BI and Tableau. * Strong proficiency in ...

Data Analyst

Anchorage, AK ยท On-site

$1K - $2K/yr

Bachelor's degree in Data Science, Statistics, Agriculture, or a related field. * Proven experience in data analysis and data visualization tools such as Power BI and Tableau. * Strong proficiency in ...

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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 Jun 12, 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 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.

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 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.
More about Field Data Analyst jobs
What cities are hiring for Field Data Analyst jobs? Cities with the most Field Data Analyst job openings:
Infographic showing various Field Data Analyst job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, 3% Contract, and 2% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Data Ideology LLC

Pittsburgh, PA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 29 days ago


Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.For more information about Data Ideology, visitwww.dataideology.com
Data Analyst
Job Type: Full-Time, 6-Month Fixed-Term (Renewable)
This is a full-time position with an initial 6-month term. Employment may be extended based on business needs and performance but is not guaranteed.
We are seeking a Data Analyst to join our growing team. In this role, you will combine business and technical expertise to support a cloud data warehouse migration, partnering with cross-functional teams to analyze data, define requirements, and deliver scalable data solutions.
Key Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.
  • Analyze source systems and data warehouse structures to support transformation into new data products, including performing gap analysis and identifying data requirements
  • Write and execute SQL queries to explore, validate, and interpret data across systems with limited documentation
  • Translate complex data logic into clear insights for both technical and non-technical stakeholders, including identifying edge cases and validating business rules
  • Support ETL processes and collaborate with developers and stakeholders to ensure solutions align with business needs and are feasible
  • Perform data validation, testing, and root cause analysis to ensure data quality and resolve issues
  • Contribute to proof-of-concepts, test case development, and scalable validation approaches for complex datasets
  • Partner with cross-functional teams to prioritize work, present findings, and support data storytelling through reports, visualizations, and diagrams
  • Document data mappings, definitions, and standard processes to support ongoing development and maintenance
Supervisory Responsibilities: None
Qualifications
Education and Experience:
Education and Experience:
  • Bachelor's degree in Computer Science, a related field, or equivalent experience
  • 2+ years of experience writing SQL queries and/or stored procedures, with the ability to work independently on data exploration
  • 3+ years of experience performing data analysis within a data warehouse environment (e.g., Oracle, SQL Server, Snowflake)
  • Experience working with cloud-based data platforms (e.g., Snowflake, Azure SQL) preferred
  • Experience querying and analyzing semi-structured or non-relational data (e.g., JSON) preferred
  • Familiarity with Agile development methodologies
  • Healthcare industry experience a plus
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Benefits: Eligible for Medical, Dental, Vision, 401(k) and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer