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Data Analytics Jobs in Springfield, MA (NOW HIRING)

Data Analyst

Hartford, CT ยท On-site

$70 - $80/hr

Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders. * Performs requirements ...

Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models ... Utilize data-driven insights to recommend significant changes and process improvements. * Process ...

Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models ... Utilize data-driven insights to recommend significant changes and process improvements. * Process ...

Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: Competent in use & writing SQL / SAS for data analysis and data ...

... Analytics Technical Skills 2 Technology|SQL SSIS|SQL Server Technical Skills 3 Technology|Analytics - Solutions|SQL Server - Analytics Technical Skills 4 Technology|Analytics - Techniques|Panel Data ...

Data Analyst Pay Rate: $29-35/hour Locations: Windsor, CT 06120 Asheville, NC 28801 Area Codes: 860, 828 Full Time, Direct w/ Benefits #dataanalysis #excel #macros #sap #aerospacejobs Belcan is ...

Data Strategy-Manager

Hartford, CT ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Data Governance- Manager

Hartford, CT ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Showing results 21-40

Data Analytics information

See 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 Springfield, MA is $54.56, 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 are the most commonly searched types of Data Analytics jobs in Springfield, MA? The most popular types of Data Analytics jobs in Springfield, MA are:
What are popular job titles related to Data Analytics jobs in Springfield, MA? For Data Analytics jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Springfield, MA look for? The top searched job categories for Data Analytics jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Analytics jobs? Cities near Springfield, MA with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Springfield, MA as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 92% In-person, 6% Hybrid, and 2% Remote job distribution, with an average salary of $113,475 per year, or $54.6 per hour.

Advanced Technology Quality Data Analyst (Hybrid)

Raytheon Technologies

East Hartford, CT โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

Date Posted:
2026-06-24
Country:
United States of America
Location:
US-CT-EAST HARTFORD-RTRC R ~ 411 Silver Ln ~ RTRC R
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Secret
Security Clearance Status:
Active and existing security clearance required after day 1
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.
Are you ready to work at the cutting edge of aerospace manufacturing and inspection? Join our team as an Advanced Technology Quality Data Analyst and play a pivotal role in transforming how quality data is utilized to drive design decisions and improve processes across operations, quality, and engineering.
In this role, you will focus on connecting, mapping, and building integrations for quality data to create a streamlined flow of information that informs and enhances design decisions. You will also help define and implement the digital connectivity strategy for quality information, ensuring alignment with organizational goals and fostering innovation in aerospace manufacturing.
This role is requiring travel up to 25%.
What You Will Do:
  • Data Integration and Connectivity: Develop and implement strategies to connect, map, and integrate quality data across operations, quality, and engineering functions. Ensure data accuracy and accessibility to support informed design and decision-making.
  • Digital Connectivity Strategy: Collaborate with cross-functional teams to define and execute a digital connectivity strategy for quality information, aligning with the organization's broader digital transformation goals.
  • Data Analytics and Insights: Leverage data analytics tools and techniques to analyze quality data, identify trends, and provide actionable insights to improve product design and manufacturing processes.
  • Collaboration and Communication: Partner with engineering, quality, and operations teams to ensure quality data is effectively utilized to inform design decisions and enhance product performance.
  • Continuous Improvement: Drive the development and implementation of processes and tools to continuously improve the collection, analysis, and application of quality data across the organization.

What You Will Learn:
  • Data-Driven Design: Gain expertise in leveraging quality data to influence and optimize design decisions for aerospace components.
  • Digital Transformation: Understand and contribute to the development of digital connectivity strategies that revolutionize quality management in aerospace manufacturing.
  • Collaborative Problem Solving: Develop skills in working across engineering, quality, and operations teams to solve complex challenges and implement innovative solutions.
  • Advanced Data Analytics: Enhance your ability to use advanced analytics tools to extract meaningful insights from complex datasets.

Qualifications You Must Have:
  • Bachelor's degree (or equivalent experience) with 10+ years of experience in Data Analytics, Quality, Manufacturing Engineering, Operations, or a related field; or a Master's degree with 7+ years of relevant experience.
  • Demonstrated experience in data analysis, data mapping, and building digital systems connectivity.
  • Expertise in Solumina, SAP, Net Inspect and other platforms leveraged by Quality.
  • Strong understanding of quality systems and their integration with engineering and manufacturing processes.
  • Proficiency in data analysis tools and enterprise database systems.

Qualifications We Prefer:
  • Knowledge or experience in aerospace manufacturing and inspection processes.
  • Proficiency with tools such as QLIK, Power BI, or similar data visualization platforms.
  • Expertise in SQL, Python, or other programming languages for data analysis and integration.
  • Experience in digital transformation projects within manufacturing or engineering environments.
  • Strong organizational and project management skills to drive cross-functional initiatives.

What is my Role Type?
In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is:
Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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