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Data Analytics Jobs in Springfield, MA (NOW HIRING)

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 ...

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 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 ...

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 ...

Bachelor's degree in Computer Science, Statistics, Data Analytics, Actuarial-related or other job-related field * 0-5 years of progressively responsible experience in insurance or financial services ...

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Data Analytics information

See Springfield, MA salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Jul 21, 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.

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 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 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 July 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,475 per year, or $54.6 per hour.
Senior Data Scientist

Senior Data Scientist

MANTECH

Springfield, MA

Full-time

Re-posted 13 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 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 Data Scientist to join our team in Springfield, VA. This role is 100% on-site.

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis—from refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.
Responsibilities include but are not limited to:

  • Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats.

  • Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.

  • Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.

  • Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.

  • Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.

  • Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.

  • Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Minimum Qualifications:

  • 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context and a

  • Master’s Degree in Data Science, Statistics, Business, or a related field. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor’s degree, 15+ years of experience

  • Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.

  • Mastery of data visualization and dashboard development using data sets from various sources.

  • Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.

  • Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.

  • Proficiency in creating and editing visual content such as charts and graphs to represent data.

  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Preferred Qualifications:

  • Experience in a leadership or mentorship role within a data analytics or business intelligence team.

  • Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures

Clearance Requirements:

  • Must have a current/active TS/SCI security clearance and be willing and able to obtain a polygraph.

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.


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