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Contract Lab Data Analyst Jobs (NOW HIRING)

Virtual Job Duration: 6 Months Contract Overview: We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role ...

... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) Data Analyst On behalf of our client, Procom Services is ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

YUPRO Placement Data Analyst This is a contract opportunity. This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused on improving product reliability ...

Contract Required Skills: * 5+ years of experience as a Data Analyst. * Strong hands-on experience with Python for data analysis and automation. * Advanced SQL skills, including complex queries ...

This position is part of a competitive proposal effort and is contingent upon contract award. The ... Conduct variance analysis, trend analysis, forecasting support, and data visualization activities

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

Data Analyst

Charlestown, MA · On-site

$53K - $75K/yr

Provide programming and analysis support for lab members ... Coordinate general lab computer/network administration (including data management and archiving ...

This position is part of a competitive proposal effort and is contingent upon contract award. The ... Conduct variance analysis, trend analysis, forecasting support, and data visualization activities

If you have a passion for turning data into actionable insights and are seeking a contract position ... Data Analysis amp; Reporting: Experience with tools like SQL, Excel, Power BI, or Tableau for ...

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Contract Lab Data Analyst information

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How much do contract lab data analyst jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for contract lab data analyst in the United States is $27.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $32.69 per hour, depending on experience, location, and employer.
What cities are hiring for Contract Lab Data Analyst jobs? Cities with the most Contract Lab Data Analyst job openings:
What are the most commonly searched types of Lab Data Analyst jobs? The most popular types of Lab Data Analyst jobs are:
What states have the most Contract Lab Data Analyst jobs? States with the most job openings for Contract Lab Data Analyst jobs include:

Business Analyst / Data Analyst (Contract)

Greenfield Talent

Cleveland, OH

$72.50/hr

Full-time

Re-posted 13 days ago


Job description

Business Analyst / Data Analyst (Contract)

Pay Rate: $72.50/hour Start Date: July 6, 2026 End Date: December 31, 2026 Work Authorization: U.S. Citizens or Green Card holders only — sponsorship is not available for this contract.

This role is onsite in Cleveland, Columbus, or Albany NY
 

Overview

We are seeking an experienced Business Analyst / Data Analyst (BA/DA) to support the Enterprise Shared Analytics Marts (ESAM) squad within Enterprise Data and Information Services (EDIS). This contract role plays a critical part in delivering enterprise‑scale data solutions that power reporting, analytics, regulatory initiatives, and strategic business insights.

You will collaborate closely with business partners, architects, data engineers, and downstream consumers to define requirements, analyze data, and ensure accurate, end‑to‑end data delivery across the Enterprise Data Supply Chain.

Key Responsibilities
  • Partner with business and technology stakeholders to gather, analyze, and document business and data requirements.

  • Own end‑to‑end data attribution and source‑to‑target mapping across source systems, CAM, and downstream marts.

  • Translate business needs into detailed functional and technical specifications, including transformations, derivations, and business rules.

  • Provide SQL logic, data validation rules, and mapping guidance to support development and data engineering teams.

  • Contribute to logical and physical data models and entity‑relationship diagrams.

  • Support solution design to ensure alignment with business objectives, data standards, and user experience best practices.

  • Lead and participate in requirement and mapping reviews to ensure quality, consistency, traceability, and auditability.

  • Perform data analysis, profiling, and validation to assess data quality, completeness, and downstream impacts.

  • Support SIT and UAT by defining test scenarios, validating results, and assisting with defect resolution.

  • Communicate progress, risks, dependencies, and estimates to project managers and stakeholders.

  • Apply SDLC and Agile methodologies throughout the full lifecycle from discovery through delivery and post‑implementation support.

  • Mentor junior analysts and contribute to continuous improvement in data quality, delivery efficiency, and documentation standards.

Required Qualifications
  • Bachelor’s degree with 7+ years of Business Analysis and/or Data Analysis experience, OR Master’s degree with 4+ years of relevant experience, OR equivalent work experience.

  • Strong analytical, written, and verbal communication skills.

  • Advanced SQL skills for data analysis, validation, and requirement translation.

  • Experience with data mapping, data modeling, and enterprise data platforms.

  • Hands‑on experience with Google Cloud Platform (BigQuery).

Preferred Qualifications
  • Experience in IT within banking or financial services.

  • Strong understanding of enterprise data supply chains and downstream impacts.

  • Experience with Agile, Scrum, Jira, and Confluence.

  • Background in data quality analysis and automation for validations.

  • Working knowledge of Ab Initio, mainframe systems, and BI tools such as Tableau.

  • Understanding of SDLC, security, risk management, and IT controls.

  • Ability to work independently, manage multiple priorities, and collaborate across cross‑functional teams.