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Data Analyst Contractor Jobs in Massachusetts (NOW HIRING)

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 ...

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 ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

New

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

New

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

New

Contracting Analyst

Raynham, MA

$71K - $86K/yr

... analyze pricing requests for discounted or national contracts. 3. Create "future pricing for ... data on contracted IDNs. 9. Maintain contract information in FileMaker database. 10. Create ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

New

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

New

$194K - $305K/yr

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is ... contractor, we comply with all affirmative action requirements for protected veterans and ...

Data Engineer

Attleboro, MA · On-site

$100K - $110K/yr

We're looking for an analytics Manager to own how Amego uses data. This is a hands-on, individual ... Own the day-to-day relationship with Amego's external BI contractor * Translate business needs into ...

We're looking for an analytics Manager to own how Amego uses data. This is a hands-on, individual ... Own the day-to-day relationship with Amego's external BI contractor * Translate business needs into ...

Showing results 21-40

Data Analyst Contractor information

See Massachusetts salary details

$37.1K

$90.3K

$148.5K

How much do data analyst contractor jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analyst contractor in Massachusetts is $90,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $105,900.00 per year, depending on experience, location, and employer.

How does a data analyst contractor typically integrate with full-time teams, and what collaboration challenges might arise?

As a Data Analyst Contractor, you’ll often work closely with full-time team members such as business analysts, data engineers, and project managers, but you may not be involved in all internal meetings or long-term strategy sessions. Effective communication and proactive relationship-building are crucial, as contractors sometimes face challenges accessing all relevant data or context due to their temporary status. To succeed, it’s important to clarify expectations upfront, leverage available documentation, and regularly sync with stakeholders to ensure alignment and smooth workflow integration.

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

To thrive as a Data Analyst Contractor, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Excel, Tableau, and programming languages such as Python or R, along with knowledge of data privacy regulations, is typically required. Excellent problem-solving, communication, and time management skills help you interpret data insights and deliver results to diverse clients. These competencies ensure accurate, actionable analysis and successful project completion in dynamic contract environments.

What does a data analyst contractor do?

A Data Analyst Contractor is a professional hired on a temporary or project basis to analyze, interpret, and visualize data for organizations. They collect and process large datasets, identify trends and patterns, and provide actionable insights to help businesses make informed decisions. Contractors may work across various industries and are often responsible for delivering specific data-driven solutions within a set timeframe. Their work can involve using statistical tools, creating reports, and collaborating with other teams to meet project goals.

What cities in Massachusetts are hiring for Data Analyst Contractor jobs?

Cities in Massachusetts with the most Data Analyst Contractor job openings:

Infographic showing various Data Analyst Contractor job openings in Massachusetts as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $90,253 per year, or $43.4 per hour.

Senior Data Scientist

MANTECH

Springfield, MA

Full-time

Re-posted 7 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 244 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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