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Data Analyst Computer Science Jobs in Springfield, MA

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 ...

Onsite, 395 West St Rocky Hill, Connecticut 06134-0000 Duration: 06+ months A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data ...

Quality Data Entry - Temp

Warren, MA · On-site

$17.50 - $23.50/hr

Strong analytical skills and attention to detail. * Ability to work independently in a fast-paced ... computer science, business, or a technical field preferred - Requires 2-5 years of business ...

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Perform data analysis to ensure quality of data assets. * Perform preliminary exploratory analysis ... Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a ...

A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data analysis skills, Jira, Microsoft Excel, Proven experience in eliciting ...

Data Model Design Architect

Hartford, CT

$64.25 - $82.75/hr

Knowledge of problem analysis, structured analysis, and design and programming techniques ... Education and Certification Requirements Bachelor's degree in Computer Science or a related ...

Showing results 41-60

Data Analyst Computer Science information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

How much do data analyst computer science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data analyst computer science 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 is a data analyst in computer science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

What are the key skills and qualifications needed to thrive as a data analyst in computer science?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

How does a data analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

What cities near Springfield, MA are hiring for Data Analyst Computer Science jobs?

Cities near Springfield, MA with the most Data Analyst Computer Science job openings:

Senior Data Scientist

MANTECH

Springfield, MA • On-site

Full-time

Re-posted 15 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

34th of 246 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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