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Remote Data Analyst Greenhouse Jobs in Springfield, MA

Work closely with our Data Science Team to build Agentic capabilities * Work collaboratively with ... LI-Remote MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Remote or hybrid work arrangement in accordance with Voya's flexible workplace guidelines. The ... Measure product and solution success through analytics and performance insights. * Translate ...

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Remote Data Analyst Greenhouse information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

How much do remote data analyst greenhouse jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data analyst greenhouse in Springfield, MA is $82,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What does a remote data analyst do at Greenhouse?

A Remote Data Analyst at Greenhouse is responsible for collecting, analyzing, and interpreting large sets of data to help the company make informed decisions about its products and business strategies. They work remotely to create reports, dashboards, and visualizations, often collaborating with different teams to identify trends and opportunities for improvement. This role typically involves using data analysis tools and techniques to support recruitment and talent management solutions, ensuring that Greenhouse continues to optimize its processes and offerings.

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

To thrive as a Remote Data Analyst at Greenhouse, you need a solid background in statistics, data analysis, and proficiency with data visualization, typically supported by a degree in a quantitative field. Expertise with technical tools such as SQL, Excel, Python or R, and common business intelligence platforms is essential. Strong problem-solving, attention to detail, and effective communication skills help you interpret data and present actionable insights to remote teams. These skills ensure accurate, data-driven decision-making and effective collaboration in a distributed work environment.

What are the main challenges faced by a remote data analyst working in the greenhouse industry, and how can they be addressed?

Remote Data Analysts in the greenhouse industry often face challenges related to accessing real-time data from on-site sensors and equipment, as well as ensuring data integrity when working off-site. Collaborating effectively with on-site teams and agronomists is crucial for understanding operational context and validating findings. To overcome these challenges, analysts frequently use cloud-based data platforms, schedule regular virtual meetings with greenhouse staff, and maintain strong documentation practices to ensure accurate analysis and actionable insights.

What is the difference between Remote Data Analyst Greenhouse vs Remote Data Analyst?

AspectRemote Data Analyst GreenhouseRemote Data Analyst
CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in Greenhouse ATS and data toolsBachelor's in Data Science, Analytics, or related field; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often within HR or recruiting teams using Greenhouse ATSRemote across various industries, focusing on data analysis and reporting
Industry UsagePrimarily in HR, recruiting, and talent acquisition sectorsAcross multiple industries including finance, marketing, healthcare, and tech

The main difference is that a Remote Data Analyst Greenhouse specializes in analyzing recruitment data within HR platforms like Greenhouse, while a Remote Data Analyst has a broader focus on data analysis across various industries without specific ATS tools.

What are the most commonly searched types of Data Analyst Greenhouse jobs in Springfield, MA?

The most popular types of Data Analyst Greenhouse jobs in Springfield, MA are:

What job categories do people searching Remote Data Analyst Greenhouse jobs in Springfield, MA look for?

The top searched job categories for Remote Data Analyst Greenhouse jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Data Analyst Greenhouse jobs?

Cities near Springfield, MA with the most Remote Data Analyst Greenhouse job openings:

Technical Assistant II (UMATC)

University of Massachusetts Amherst

Amherst, MA • On-site, Remote

$36K - $43K/yr

Full-time

Re-posted 7 days ago


Key responsibilities

  • Conduct data analysis using transportation safety datasets to support research objectives and reporting needs.

  • Clean, validate, and prepare datasets for analysis, including quality checks, documentation, and reproducible workflows.

  • Develop tables, figures, maps, and summaries to support technical reports, presentations, and stakeholder materials.


University Of Massachusetts Amherst rating

8.4

Company rating: 8.4 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

103rd of 631 rated colleges and universities


Job description

Technical Assistant II (UMATC)
Job no: 509166
Work type: Staff
Location: Amherst
Categories: Hybrid, Remote, Transportation, Riccio College of Engineering, Full Time, USA/MTA
Title: Technical Assistant II (UMATC)
Executive Area: Academic Affairs
College/School/MBU: Engineering
Department: UMass Trans Ctr
Work Location: Amherst
Schedule: Full Time
Work Arrangement: Hybrid or Remote
Job Summary
The technical assistant will provide assistance and support for highway safety research projects through data analysis, technical execution, and development of project deliverables. This is a 4 month appointment; continuation is contingent on funding.
Essential Functions
Conduct data analysis using transportation safety datasets (e.g., crash, roadway, enforcement, citation data) to support research objectives and reporting needs.
Clean, validate, and prepare datasets for analysis, including quality checks, documentation, and reproducible workflows.
Develop tables, figures, maps, and summaries to support technical reports, presentations, and stakeholder materials.
Draft and contribute to technical reports, white papers, and research briefs, translating analytical results into clear, structured findings.
Support literature reviews and technical scans; summarize findings to inform project tasks and recommendations.
Apply established statistical methods and analytical approaches under the direction of senior research staff.
Assist in the development and application of exposure-based metrics and performance measures for safety analysis.
Utilize SQL and other analytical tools (e.g., R, Python, GIS) to query, manage, and analyze large datasets.
Support GIS-based analysis, including mapping, spatial joins, and visualization of safety data.
Maintain organized documentation of data sources, methodologies, and analytical processes to ensure reproducibility.
Assist with preparation of presentations and materials for meetings, conferences, and stakeholder briefings.
Other Functions
All other duties as assigned.
Minimum Qualifications
Experience in transportation, traffic engineering, human factors, data science, public health, statistics, regulatory, public policy, enforcement or other related field.
Experience conducting data cleaning, validation, and basic statistical analysis.
Ability to interpret data and communicate findings clearly through written reports and visualizations.
Experience working on deliverable based projects.
Experience with Microsoft Word, Excel, PowerPoint and Publisher.
Ability to be a self-starter and to carry through assignments with a minimum amount of supervision.
Excellent oral and written communication skills as well as organizational and interpersonal skills.
Preferred Qualifications
Experience working with data analysis tools such as SQL, R, Python, Excel, or similar.
Knowledge of specific Program activities.
Ability to coordinate grant funded activities in a university environment.
Working Conditions
Work is primarily performed in an indoor university environment and involves lifting and transporting materials or equipment and general physical activity, including prolonged standing, walking, or assuming low postures.
Work Schedule and Work Arrangement
Monday - Friday within standard working hours.
This is a 4 month appointment; continuation is contingent on funding.
This position has the opportunity for a hybrid work schedule, which is defined by the University as an arrangement where an employee's work is regularly performed at a location other than the campus workspace for a portion of the week. As this position falls within the University Staff Association, it is subject to the terms and conditions of the University Staff Association collective bargaining agreement.
This position has the opportunity for a remote work schedule, which is defined by the University as an arrangement where the employee's work location is to work from a site other than the UMass Amherst campus. As this position falls within the University Staff Association, it is subject to the terms and conditions of the University Staff Association collective bargaining agreement.
Salary Information
Pay Grade: USA/MTA Grade 14
Click here to view the Classified Step Scale
Additional Details
This position is subject to final budgetary and administrative approval.
Special Instructions for Applicants
Along with the application, please submit a resume. References will be checked at the finalist stage. Please be prepared to provide contact information for three (3) professional references.
This position will remain open for the time period required by any applicable collective bargaining agreement and will continue until a suitable candidate pool is identified. Interested applicants are strongly encouraged to apply early.
Advertised: 02 Jul 2026 Eastern Daylight Time
Applications close: 02 Oct 2026 Eastern Daylight Time
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