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Contract Data Analyst Jobs in Vermont (NOW HIRING)

Contract Duration: 12-15 months (with potential for extension) Work Location: Remote (U.S.-based ... This role focuses on building and operationalizing modern data quality, governance, analytics, and ...

Data Engineer SOW RFP VT

Waterbury, VT · On-site

$114K - $137K/yr

Contract Start: ASAP Duration: Short term project About the Role Our client is upgrading its ... Analyze legacy MySQL and Microsoft SQL Server databases to identify tables, relationships, keys ...

Sr. Budget Analyst

Montpelier, VT · On-site

$35.63 - $45/hr

... long-term contract opportunity in Montpelier, Vermont. This role focuses on developing and ... Develop, maintain, and refine annual operating budgets by gathering financial data, validating ...

... Data, you will focus on executing, managing, and optimizing purchasing processes and supplier ... analysis and negotiations to achieve favorable contract terms - Overseeing contract lifecycle ...

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Contract Data Analyst information

See Vermont salary details

$36.2K

$87.9K

$144.6K

How much do contract data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for contract data analyst in Vermont is $87,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $103,100.00 per year, depending on experience, location, and employer.

What is a data analyst contract?

Data analyst contract jobs are short-term or long-term projects for independent contractors to collect and analyze a company's data for a specific purpose. As a contract data analyst, you may help determine the scope of the project, provide guidance and support to staff, help analyze trends, recommend ways of gathering and processing information, and produce reports for executives and managers. Data analysts who work on a contract often use data visualization tools to help explain results and assess data for accuracy, consistency, and logic. Depending on the company, you may also work with information dashboards or format data from multiple sources so it can be analyzed from a central point.

What is a contract data analyst?

Contract data analysts are professionals hired on a temporary or project basis to collect, process, and analyze data for organizations. They help businesses make data-driven decisions by interpreting complex information, identifying trends, and generating reports. Contract data analysts often work with various teams to solve specific business challenges or support ongoing projects, bringing flexibility and specialized expertise without the commitment of a full-time hire.

How does a contract data analyst typically collaborate with legal and procurement teams during the contract review process?

A Contract Data Analyst works closely with legal and procurement teams to ensure that contract data is accurately extracted, analyzed, and interpreted. They often participate in cross-functional meetings to clarify contract terms, address data discrepancies, and provide data-driven insights that support negotiation and compliance efforts. Effective communication and attention to detail are essential, as these teams rely on the analyst to identify trends, risks, and opportunities within large volumes of contract data. This collaborative approach helps organizations make informed decisions and maintain regulatory compliance.

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

To thrive as a Contract Data Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data management, typically supported by a degree in business, finance, or a related field. Proficiency in data analysis tools such as Excel, SQL, and contract management systems, as well as certifications like Certified Analytics Professional (CAP), are commonly required. Strong problem-solving abilities, effective communication, and organizational skills help you interpret complex contract data and collaborate with stakeholders. These skills ensure accurate contract analysis, risk mitigation, and informed decision-making for organizational success.

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

AspectContract Data AnalystContract Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, Machine Learning
Work EnvironmentBusiness, finance, healthcare, or marketing sectors; typically in office or remoteTech, finance, or research sectors; often in collaborative or research settings
Employer & Industry UsageUsed by companies needing data analysis for decision-makingUsed by organizations developing predictive models and advanced analytics

While both roles involve working with data, Contract Data Analysts focus on interpreting data and generating reports, whereas Contract Data Scientists develop models and algorithms for deeper insights. The choice depends on the complexity of tasks and required technical skills.

What are the most commonly searched types of Data Analyst jobs in Vermont?

The most popular types of Data Analyst jobs in Vermont are:

What job categories do people searching Contract Data Analyst jobs in Vermont look for?

The top searched job categories for Contract Data Analyst jobs in Vermont are:

What cities in Vermont are hiring for Contract Data Analyst jobs?

Cities in Vermont with the most Contract Data Analyst job openings:

Infographic showing various Contract Data Analyst job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,867 per year, or $42.2 per hour.

DHS Intelligence Analyst - Vermont

LIS Solutions

Williston, VT

Full-time

Re-posted 15 days ago


Job description

***This position is contingent upon contract award***

Job Title: DHS Intelligence Analyst

Location: Williston, Vermont (On Site)

Program Overview:

Removing aliens present in the United States (U.S.) who have violated U.S. laws is a national public safety priority. To address these threats, Immigration and Customs Enforcement (ICE) formed the Targeting Operations Division (TOD) within the ICE Enforcement and Removal Operations (ERO) directorate. The primary mission of the TOD is to identify and locate aliens that pose a threat to public safety or national security. The TOD has a current and recurring need for analytical services in support of its mission to identify and locate individuals who have violated U.S. laws. This support includes the analysis of information obtained from commercial and law enforcement databases as well as publicly accessible, open-source and social media platforms.

Successful law enforcement operations require adaptation to changing public safety threats and the ability to continually refine processes and modernize information technologies. Although ICE-ERO continues to make considerable progress in identifying, targeting, and arresting individuals who have violated U.S. laws, the continued use of proactive and modern enforcement tools remains an essential approach to achieve ICE enforcement goals. Analysis of information sources is needed to enhance ICEs mission and program efficiency. Previous approaches to targeting individuals for enforcement action which have not incorporated open web sources and social media information, have had limited success. The individuals targeted for enforcement action purposely employ countermeasures to inhibit ICE-EROs ability to locate them.

Job Summary:

Mission Support ICE ERO's Targeting Operations Division by developing and enhancing leads from commercial, law-enforcement, and open-source/social media data to identify and locate individuals who have violated U.S. laws. Deliver timely, accurate, and actionable outputs aligned to formatting and acceptance criteria.

Key Responsibilities:

  • Intake and triage: Review referrals, validate requirements, and prioritize per daily tasking
  • Collection and exploitation: Conduct open-source/social media research, leverage approved commercial databases, and correlate across sources
  • Lead development: Build person/entity dossiers, confirm identifiers, locations, associations, and patterns of life; document corroboration
  • Quality control: Apply SOP quality gates; achieve high first-pass acceptance and minimal rework
  • Reporting: Produce clear, concise, properly formatted outputs with auditable citations and screenshots/logs as required
  • Coordination: Participate in daily stand-ups; communicate risks, blockers, and emerging leads to Site Lead
  • Compliance and security: Maintain chain of custody for evidence/artifacts; report privacy/security incidents per policy
  • Continuous improvement: Contribute to SOP refinements; suggest tool/process enhancements backed by metrics

Minimum Qualifications:

  • 2+ years of experience in intelligence, investigative analysis, or law-enforcement support (OSINT/social media exploitation strongly preferred)
  • Demonstrated proficiency with at least two of the following: commercial data platforms, link analysis tools, social media exploitation suites, geospatial/lookups
  • Strong analytical writing; ability to produce law-enforcement ready reports with proper sourcing and formatting
  • Proven performance against production targets (timeliness, accuracy, throughput) in a regulated environment
  • Working knowledge of handling PII/SBU/SSI and secure data practices
  • Proficiency with Microsoft 365 (Word, Excel, PowerPoint) and dashboarding basics
  • Bachelors degree in intelligence studies, criminal justice, international affairs, data analytics, or related field; equivalent experience considered
  • Must be able to obtain and maintain a favorable DHS/ICE fitness determination; periodic reinvestigations (every 5 years or as directed)
  • U.S. Citizenship required

LIS Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.