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Data Analytics Jobs in West Springfield, MA (NOW HIRING)

TecTammina

Business Data Analyst

Hartford, CT · On-site

Good understanding and implementation of graph analytics and graph algorithm. Experience with Big Data execution using Hadoop / Horton Works. Experience with text mining using GATE or UIMA. Good ...

Bridge Energy

Energy Data Analyst (CT)

Hartford, CT · On-site

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience with energy and utilities data. Analyst will provide service and analytical excellence to internal ...

USM

Sr. Data Analyst

Windsor, CT

$45 - $50/hr

... Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is ... Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50 ...

The Computer Merchant, Ltd

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or ...

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All JobsData Analytics JobsData Analytics Jobs in West Springfield, MA

Data Analytics information

See West Springfield, MA salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analytics in West Springfield, MA is $54.55, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $61.78 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 cities near West Springfield, MA are hiring for Data Analytics jobs? Cities near West Springfield, MA with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in West Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,472 per year, or $54.6 per hour.

Data Scientist - Workforce Analytics

MANTECH

Springfield, MA

Full-time

Re-posted 17 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 Workforce Analytics/Data Scientist to join our team in Springfield, VA.

The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties.

Responsibilities include but are not limited to:

  • Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders.
  • Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau.
  • Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting.
  • Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment.
  • Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization.
  • Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material.
  • Participating in internal and external working groups and meetings related to workforce demographic data topics and project management.
     

Minimum Qualifications:

  • Bachelor’s Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
  • 7+ years of progressively responsible experience in social science or workforce analytics-related fields.
  • Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
  • Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
  • Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
  • Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.
     

Preferred Qualifications:

  • Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field.
  • Advanced proficiency in coding, specifically including SQL for database management.
  • Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change.
     

Clearance Requirements:

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

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations.

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