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Contract Data Analyst Jobs in Spring Valley, NY (NOW HIRING)

SolGenie

BUSINESS ANALYST (DATA)

New York, NY · On-site

We have got a contract opportunity for BUSINESS ANALYST (DATA) with one of our clients. Detailed is given below Title: BUSINESS ANALYST (DATA) Location: New York Duration: 9+ months Work Mode: Hybrid ...

Morson Talent

Project Support/Data Analyst

New York, NY · On-site

$20 - $30/hr

Contract Hourly Rate: $30/hour W2 Role & Responsibilities: Supports the activities associated with construction, operation and maintenance of electric distribution and transmission systems. Supports ...

CoreWeave

Data Center Lease Analyst

New York, NY · On-site

We are seeking a Data Center Lease Analyst to support the administration, accuracy, and continuous ... Interpret complex commercial contract language related to rent, tax, insurance, power usage, cross ...

CoreWeave

Data Center Lease Analyst

Livingston, NJ · On-site

We are seeking a Data Center Lease Analyst to support the administration, accuracy, and continuous ... Interpret complex commercial contract language related to rent, tax, insurance, power usage, cross ...

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Showing results 21-40

All JobsContract Data Analyst JobsContract Data Analyst Jobs in Spring Valley, NY

Contract Data Analyst information

See Spring Valley, NY salary details

$34.5K

$83.7K

$137.8K

How much do contract data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for contract data analyst in Spring Valley, NY is $83,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $98,300.00 per year, depending on experience, location, and employer.

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 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.

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.

More about Contract Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Spring Valley, NY? The most popular types of Data Analyst jobs in Spring Valley, NY are:
What job categories do people searching Contract Data Analyst jobs in Spring Valley, NY look for? The top searched job categories for Contract Data Analyst jobs in Spring Valley, NY are:
What cities near Spring Valley, NY are hiring for Contract Data Analyst jobs? Cities near Spring Valley, NY with the most Contract Data Analyst job openings:
Contract Data Analyst jobs near you
Infographic showing various Contract Data Analyst job openings in Spring Valley, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $83,741 per year, or $40.3 per hour.

Data Analyst, Financial Data Engineering

Stripe

New York, NY • On-site

Full-time

Posted 17 days ago

Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support.
What you'll do
In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll design, build, and own the scalable data infrastructure that powers analytics and reporting across the company.
Day to day, you'll translate complex business requirements into reliable data models, own end-to-end pipeline development from raw data ingestion to clean, consumption-ready datasets, and work with leaders to prioritize the highest-impact data investments. You'll go beyond building dashboards-you'll architect the data layer that makes self-service analytics possible and deliver actionable business recommendations through rigorous analysis and data storytelling.
Responsibilities
  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade financial reporting, risk measurement, and operational decisioning for Treasury Finance
  • Leverage AI tools (code assistants, LLM-based agents) to accelerate pipeline development, data quality automation, reconciliation, and documentation - expanding technical scope while maintaining quality.
  • Model and transform raw data into clean, well-documented datasets that serve as the core foundations for decision making for Treasury Finance (e.g. float positions, cash explainability, risk exposures, liquidity management)
  • Establish and enforce data quality standards through testing, monitoring, and alerting on pipeline health
  • Establish and own data freshness SLAs, operational alerting, and incident response for your data domains - ensuring production reliability for risk and finance critical workflows
  • Partner deeply with Treasury Finance, data scientists/analysts, and engineers to define data requirements and deliver trusted, reusable financial data products
  • Partner deeply with Treasury Finance stakeholders to translate business requirements into data architecture decisions, anticipating needs and helping to drive data strategy rather than reacting to requests
  • Build self-service tooling and analytics layer that empower stakeholders to access and explore trusted data autonomously
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • 6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related analytical role
  • Proficiency in SQL, including complex query optimization and data modeling
  • Proficiency in Python for data pipeline development, not just scripting
  • Experience with distributed data frameworks like Spark to write and debug data pipelines
  • Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)
  • Proven ability to design, implement, and maintain production-grade data pipelines and dashboards
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing
  • Ability to clearly communicate results and drive impact with cross-functional partners
  • Experience owning production data products with defined quality standards, testing, and documentation
Preferred qualifications
  • Prior experience at a growth-stage internet or software company
  • Prior experience working with Finance or Treasury teams
  • Understanding of treasury and finance concepts (e.g., float positions, FX exposure, cash reconciliation, balance sheet usage, liquidity management)
  • Experience with data quality frameworks, data contracts, tiering/classification, or SLA management
  • Experience creating leadership-level reporting, such as QBRs and MBRs
  • Experience building financial reporting infrastructure - e.g. automated treasury processes, regulatory reporting, or finance close
  • Proficiency with AI tools (code assistants, LLM agents) to accelerate pipeline development and data quality automation
  • Interest in how data products enable automated/agentic workflows - understanding that data quality determines the reliability of every downstream decision

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