ZipRecruiter

Log In

1

Data Analytics Jobs in Amherst, MA (NOW HIRING)

CIRCOR International

Quality Data Entry - Temp

Warren, MA · On-site

$17.50 - $23.50/hr

Data entry into workflow management tools and trackers MRB material organization Data package ... Strong analytical skills and attention to detail. * Ability to work independently in a fast-paced ...

Aston Carter

Data Associate

Turners Falls, MA · On-site

$20/hr

Analyze trends and provide insights on process effectiveness and performance metrics. * Translate business questions into measurable reports and analytics. * Conduct survey analysis and data ...

Varsity Tutors

Data Science Tutor

Northampton, MA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Dow Jones

Analyst, Remittance Processing

Chicopee, MA · Hybrid

$45K - $60K/yr

Analyze financial data, operational metrics, and workflows to identify discrepancies, resolve issues, and improve process efficiency. * Collaborate with cross-functional teams and stakeholders to ...

previous pagenext page

Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Amherst, MA

Data Analytics information

See Amherst, MA salary details

$24

$53

$93

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Amherst, MA is $53.92, according to ZipRecruiter salary data. Most workers in this role earn between $43.32 and $61.06 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Amherst, MA? The most popular types of Data Analytics jobs in Amherst, MA are:
What job categories do people searching Data Analytics jobs in Amherst, MA look for? The top searched job categories for Data Analytics jobs in Amherst, MA are:
What cities near Amherst, MA are hiring for Data Analytics jobs? Cities near Amherst, MA with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Amherst, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,150 per year, or $53.9 per hour.

Senior GEOINT Data Scientist

MANTECH

Springfield, MA

Full-time

Posted 29 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies

Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Senior GEOINT Data Scientist to join our team in Springfield, VA!

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to support critical data environments, to include creating streamlined processes, evaluating unique datasets, and solving challenging intelligence issues.

Responsibilities include but are not limited to:

  • Working with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Leading and participating in the design of solutions and refinement of pre-existing processes
  • Working with Program Managers and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Using exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Researching and implementing optimization models, strategies, and methods to inform data management activities and analysis
  • Applying big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments

Minimum Qualifications:

  • High School Diploma/GED with 10+ years of progressively responsible experience in GEOINT analysis, intelligence analysis, or a related technical field
  • Education/Training Substitutions:
    • Associate’s degree may substitute for 2 years of experience.
    • Bachelor’s degree may substitute for 3 years of experience.
    • Master’s degree may substitute for 2 years of experience.
    • PhD may substitute for 3 years of experience.
    • Professional certifications may substitute for up to 6 months of experience.
  • Significant experience supporting IC operations, possessing expert level knowledge to manipulate and analyze structured/ unstructured data
  • Demonstrated experience in data mining and developing/maintaining/manipulating databases
  • Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
  • Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
  • Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
  • Experienced in conducting multi-INT and technology specific research to support mission operations

Preferred Qualifications:

  • Possess Master's degree in Data Science or related technical field with experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS
  • Experience using .NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

Clearance Required:

  • An active TS/SCI with the ability to obtain & maintain a Polygraph

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and senior personnel, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

What ManTech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply