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Senior Data Analyst Jobs in Springfield, MA (NOW HIRING)

MANTECH

Senior GEOINT Data Scientist

Springfield, MA · On-site

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to ... Using exploratory data analysis techniques to identify meaningful relationships, patterns, or ...

Teamware Solutions

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

... Senior Data Engineer to design, build, and optimize scalable data pipelines and warehouse solutions that power business-critical analytics. You will work closely with data architects, analysts, and ...

Georgia IT, Inc.

Data Architect_ Windsor, CT

Windsor, CT · On-site

$63.50 - $81.75/hr

Georgia IT, Inc. is seeking a Senior Data Architect to lead enterprise data strategy, data platform ... support analytics • Drive cloud adoption and modernization initiatives • Establish data ...

Munich Re

Data Scientist

Hartford, CT

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied ...

Munich Re

Data Scientist

Hartford, CT · On-site

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied ...

Chubb

Head of Data Engineering, PRS

Simsbury, CT · On-site

$224K - $314K/yr

... as a senior Data Leader here at Chubb. You will be entrusted to apply your leadership and ... analytics strategies for solving business problems. You'll leverage your Mainframe and Data ...

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Senior Data Analyst information

See Springfield, MA salary details

$54.8K

$98.9K

$135K

How much do senior data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior data analyst in Springfield, MA is $98,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $108,100.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Springfield, MA? The most popular types of Data Analyst jobs in Springfield, MA are:
What are popular job titles related to Senior Data Analyst jobs in Springfield, MA? For Senior Data Analyst jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst jobs in Springfield, MA look for? The top searched job categories for Senior Data Analyst jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Senior Data Analyst jobs? Cities near Springfield, MA with the most Senior Data Analyst job openings:
Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Springfield, MA as of July 2026, with employment types broken down into 85% Full Time, 8% Part Time, and 7% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $98,884 per year, or $47.5 per hour.

Senior GEOINT Data Scientist

MANTECH

Springfield, MA • On-site

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.

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