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Field Data Analyst Jobs (NOW HIRING)

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics * 1+ years of relevant experience in data analytics ...

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ ... related field is required. A master's degree in any of these disciplines is preferred. About ...

Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution ...

Data Analyst

Tempe, AZ · On-site

$37K/yr

Job Profile: Business and Data Analyst 3 Job Family: Business and Data Analytics Time Type ... Bachelor's degree and five (5) years of experience appropriate to the area of assignment/field; OR ...

... field - 2+ years of experience in data analysis or a similar role - Proficiency in data analysis tools such as Excel, SQL, and Python - Experience with data visualization tools such as Tableau or ...

This individual will support in the analysis of data from various sources as a part of testing ... Minimum of 4 years' experience in related field * Bachelor's Degree in a relevant field ...

As a Data Analyst on the Sales Analytics team, you will provide crucial support in areas such as ... field, or equivalent professional experience.

Responsibilities: • Analyze several existing systems to document fields and functions. Create ... data analytics projects to drive value and gain insight from information. • Analyze and review ...

MS degree in engineering or Master's degree in a Data analyst related field from an accredited college or university and a minimum of four years relevant experience. Principal: * BS degree in ...

Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution ...

Data Analyst

Lewes, DE · On-site +1

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field. * Proficiency in data analysis tools such as SQL, Excel, Python, or R. * Experience with data ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

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

Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution ...

Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution ...

Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution ...

Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution ...

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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 24, 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:
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.
Data Analyst

Data Analyst

Tactile Medical

New Brighton, MN • On-site

$61K - $86K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Tactile Medical rating

7.9

Company rating: 7.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses.
The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a motivated Data Analyst to deliver clear insights into the operations and development teams and leadership. The ideal candidate will have a strong desire to use mathematical and statistical expertise and will have a natural curiosity to gain knowledge through the independent creation of thoughtful analyses tied to company goals. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
Accountabilities & Responsibilities
  • Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping, and product development
  • Work with Operations, Digital Solutions, and other stakeholders to understand reporting needs
  • Fill knowledge gaps through creative application of data resulting in clear and reliable data reporting
  • Design and maintain models, metrics, reports, and dashboards that help stakeholders better understand the business trends
  • Collaborate across multiple teams to understand business needs and analyze complex data while communicating recommendations
  • Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to uncover trends and opportunities
  • Develop requirements, processes, and documentation for reporting on data-related projects
  • Embrace working toward the end goal of helping others live a better quality of life
  • Support day-to-day business needs surrounding system and data related tasks
  • Contribute to publication-grade data analysis using datasets provided by the Digital Solutions team, supporting research and thought leadership initiatives
  • Support IoT-related use cases by evaluating device usage data and informing quality metrics

Education & Experience:
  • Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics
  • 1+ years of relevant experience in data analytics, data science, and/or a quantitative field
  • Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems

Knowledge & Skills:
  • Excellent communication, analytical and collaborative problem-solving skills in applying analytical methods to real world problems with measurable outcomes
  • Engage in statistical and exploratory analysis of datasets from medical device data
  • Experience in setting analytics frameworks or strategies for complex scenarios
  • Play a role in defining, monitoring, and reporting on key product performance metrics
  • Experience in an ERP systems collecting data
  • Experience in R, Python, or similar scripting language
  • Experience with data visualization and presentation tools, such as Power BI
  • Demonstrable record of accomplishment dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic regulated environment

Competencies:
  • Analytical
  • Technical Expertise
  • Detail Oriented
  • Research and Development
  • Team Leadership
  • Flexible
  • Collaboration
  • Communication
  • Critical Thinking
  • Peer Relationships
  • Problem Solving

Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions.
Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience.
US Pay Range
$61,500-$86,205 USD
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