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Overnight Remote Data Analyst Jobs in Springfield, MA

Sr. Product Owner, Data Science

Hartford, CT · On-site +1

$111K - $166K/yr

Conduct market research, competitor analysis, and customer feedback analysis to identify ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our ...

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Showing results 41-60

Overnight Remote Data Analyst information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

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

As of Aug 22, 2026, the average yearly pay for overnight remote data analyst 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 an overnight remote data analyst do?

An Overnight Remote Data Analyst is responsible for analyzing and interpreting data during nighttime hours, typically outside of regular business hours. This role involves collecting, cleaning, and processing data, generating reports, and providing insights to help organizations make data-driven decisions. Working remotely allows analysts to perform these tasks from anywhere, enabling companies to have 24/7 data coverage and faster turnaround on data projects. Key responsibilities may also include monitoring data pipelines, troubleshooting issues, and ensuring data quality throughout the night.

What are the key skills and qualifications needed to thrive as an overnight remote data analyst?

To thrive as an Overnight Remote Data Analyst, you need strong analytical skills, proficiency in statistical methods, and a relevant degree such as in data science, mathematics, or a related field. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau, along with experience using remote collaboration systems, is typically required. Attention to detail, self-motivation, and effective written communication are crucial soft skills for succeeding in an independent, asynchronous work environment. These abilities ensure accurate data-driven insights, timely reporting, and reliable collaboration across global teams.

What are the unique challenges faced by overnight remote data analysts, and how can they effectively manage their workload and communication with daytime teams?

Overnight remote data analysts often work with limited real-time supervision and may encounter challenges such as delayed feedback, asynchronous communication, and adjusting to different time zones. To manage these challenges, it's important to establish clear handover procedures, use collaborative tools for documentation, and proactively communicate progress and roadblocks to daytime colleagues. Many organizations also encourage regular check-ins or scheduled overlap hours to ensure alignment and maintain team cohesion. Embracing these practices helps overnight analysts stay connected and productive, despite working non-traditional hours.

What is the difference between Overnight Remote Data Analyst vs Night Shift Data Analyst?

AspectOvernight Remote Data AnalystNight Shift Data Analyst
Work EnvironmentRemote, working overnight hoursOn-site or remote, working overnight hours
CredentialsTypically requires a degree in data analysis, statistics, or related fieldSimilar credentials, often with experience in data tools
Employer & IndustryTech, finance, healthcare companies with 24/7 operationsManufacturing, customer service, or healthcare sectors with night shifts

The main difference is that the Overnight Remote Data Analyst works exclusively from home during overnight hours, while the Night Shift Data Analyst may work on-site or remotely during night shifts. Both roles require similar skills and credentials, but their work environments and industry applications can differ.

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

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

What are popular job titles related to Overnight Remote Data Analyst jobs in Springfield, MA?

For Overnight Remote Data Analyst jobs in Springfield, MA, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Overnight Remote Data Analyst job openings in Springfield, MA as of July 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,351 per year, or $39.6 per hour.

Technical Assistant II (UMATC)

University of Massachusetts Amherst

Amherst, MA • On-site, Remote

$36K - $43K/yr

Full-time

Re-posted 21 days ago


University Of Massachusetts Amherst rating

8.4

Company rating: 8.4 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

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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
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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