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174 results for Data Scientist in Usa

Data Analyst
  • Atlanta, GA
  • onsite
  • Temporary / Contract
  • 55 - 60 USD / Hourly
  • <p><strong>Overview</strong></p><p>We’re working with our client on a high-impact data initiative supporting their merger with another organization. This role will focus on data discovery, integration, and migration to ensure a smooth transition of critical systems and reporting.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead data discovery, requirements gathering, and data lineage mapping across multiple source systems for CD1 conversion</li><li>Analyze and document data integration needs, including:</li><li>SFTP file transfers</li><li>ETL pipelines</li><li>Upstream/downstream system dependencies</li><li>Support migration of legacy datasets, ensuring data accuracy and continuity of business processes</li><li>Partner with business stakeholders, application owners, and technology teams to translate requirements into clear data specifications</li><li>Act as a liaison between the Data team and broader technology organization across multiple workstreams</li><li>Serve as a point of contact for data-related questions, issues, and coordination during the integration effort</li></ul><p><strong>*Please note: </strong>This is a hybrid position in Atlanta (Smyrna). Please don&#39;t apply to this posting if you&#39;re not already local to Metro ATL and willing to work onsite in a hybrid capacity</p>
  • 2026-06-29T00:00:00Z
Data Analyst
  • Somerset, NJ
  • onsite
  • Temporary to Hire
  • 45.6 - 52.8 USD / Hourly
  • We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
  • 2026-06-23T00:00:00Z
Data Analyst
  • Atlanta, GA
  • onsite
  • Temporary to Hire
  • 35.625 - 45 USD / Hourly
  • <p>We are looking for a Data Analyst to join a collaborative team in Atlanta, Georgia, where data is used to guide business strategy and operational decisions. This opportunity is ideal for someone who enjoys translating complex information into clear reporting and practical recommendations. The person in this role will partner with stakeholders across the business to uncover patterns, improve data quality, and deliver meaningful insights through analysis and visualization.</p><p><br></p><p>Responsibilities:</p><p>• Create interactive dashboards and recurring reports that help teams monitor performance and identify areas for improvement.</p><p>• Examine large and varied datasets to uncover trends, exceptions, and actionable business insights.</p><p>• Develop and run database queries to extract, organize, and interpret information from multiple sources.</p><p>• Review, reconcile, and validate data to maintain accuracy, consistency, and reliability in reporting outputs.</p><p>• Communicate findings to business partners and leadership through clear presentations, summaries, and visual storytelling.</p><p>• Work closely with cross-functional teams to support informed decision-making with timely analytical input.</p><p>• Apply analytical techniques to fraud-related data to help detect suspicious activity and strengthen anti-fraud efforts.</p>
  • 2026-06-18T00:00:00Z
Data Analyst
  • Farmington, CT
  • remote
  • Temporary / Contract
  • 35 - 45 USD / Hourly
  • <p>Responsibilities</p><ul><li>The Procurement Analyst performs a variety of duties in support of the product and vendor acquisition process for the Firm</li><li>This position works with suppliers to negotiate prices, terms, prepares and processes purchase orders, monitors inventory, assists in managing vendor contracts, and helps with sourcing third-party vendors</li><li>The Procurement Analyst works under general supervision and relies on experience and judgment to plan and accomplish goals</li><li>Manage, track, negotiate and complete ordering process for various IT hardware, telecom, services, and other general purchasing requests as needed</li><li>Submit and track invoices for payment into payables system and for firm purchase credit card</li><li>Work closely with IT hardware &amp; telecom managers to provide vendor analysis, review, and technical support</li><li>Use HelpDesk application to close tickets and answer IT hardware and telecom procurement inquiries</li><li>Utilize and administer purchasing system to process IT hardware &amp; telecom renewals, new purchases, and other tasks as required by requestors</li><li>Assist with vendor review process, Request for Proposals (RFPs), Diversity &amp; Inclusion initiatives, production and distribution of reports, and to communicate statuses to stakeholders</li><li>Analyze supply expenditures to help identify cost saving measures and initiatives</li><li>Maintain accurate records, files, and agreements using filing and contract applications</li><li>Assist users with annual budget process by providing past procurement information as needed</li><li>Ensure procurement activities are aligned with the department’s purchasing strategy and budgets</li><li>While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear</li><li>Employee must occasionally lift up to twenty (20) pounds</li></ul><p><br></p>
  • 2026-07-08T00:00:00Z
Data Analyst
  • Lakeville, MA
  • onsite
  • Temporary to Hire
  • 35.625 - 41.25 USD / Hourly
  • <p>We are looking for a detail-oriented QA Analyst to join our team Massachusetts in a contract position with the potential to become permanent. This position will support the quality, stability, and effectiveness of business applications by evaluating system behavior, validating workflows, and identifying issues before release. The role partners with product, design, engineering, documentation, and business teams to improve user experience and strengthen operational reliability. This is a strong opportunity for someone who enjoys working in a growing environment, building structure, and contributing to a developing quality-focused practice.</p><p><br></p><p>Responsibilities:</p><p>• Assess new and existing application features to confirm they operate correctly and meet defined business needs.</p><p>• Work closely with cross-functional partners to clarify expected outcomes, review workflows, and verify that delivered solutions align with user requirements.</p><p>• Execute hands-on testing across employee-facing and customer-facing systems, documenting defects, inconsistencies, and usability concerns.</p><p>• Support release preparation by validating readiness, confirming issue resolution, and helping reduce production risk before deployment.</p><p>• Develop and maintain repeatable testing approaches, including regression coverage and end-to-end workflow checks, as the systems environment expands.</p><p>• Contribute to performance and reliability evaluations to help ensure applications function effectively under expected usage conditions.</p><p>• Help establish practical quality standards, documentation practices, and testing processes for a growing technology organization.</p><p>• Assist with manual validation activities in areas where automation, tools, or formal procedures are still being developed.</p>
  • 2026-07-13T00:00:00Z
Data Analyst
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
  • 2026-06-15T00:00:00Z
Data Analyst
  • Irvine, CA
  • onsite
  • Temporary / Contract
  • 35.625 - 41.25 USD / Hourly
  • We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders.<br><br>Responsibilities:<br>• Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud.<br>• Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up.<br>• Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies.<br>• Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses.<br>• Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response.<br>• Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review.<br>• Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
  • 2026-06-15T00:00:00Z
Data Analyst
  • Gainesville, FL
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for a Data Analyst to join a team in Florida on a contract basis with the potential for a permanent position. In this role, you will turn business needs into reliable reporting, data solutions, and actionable insights that support day-to-day operations and long-term decision-making. The position offers the opportunity to work across analytics, database management, integrations, and process improvement while partnering closely with both technical teams and business stakeholders.<br><br>Responsibilities:<br>• Create, refine, and optimize database queries across multiple query languages to support reporting, analysis, and operational needs.<br>• Partner with internal stakeholders to gather reporting goals, translate requirements into effective dashboards and visualizations, and enhance BI solutions over time.<br>• Build and maintain data interfaces that connect enterprise systems, databases, and external sources to ensure dependable data flow.<br>• Administer and monitor on-premise and cloud-based databases, helping maintain performance, availability, data quality, and security standards.<br>• Design and deliver custom analytics tools, automated workflows, and data-driven solutions that improve efficiency and align with business priorities.<br>• Provide advanced troubleshooting and support for BI, reporting, and analytics platforms, including handling escalated issues and assisting frontline support when needed.<br>• Prepare and update technical documentation for reports, integrations, databases, automated processes, and other data solutions.<br>• Contribute to ETL and pipeline activities that support consistent data transformation, movement, and accessibility across platforms.
  • 2026-07-10T00:00:00Z
Data Analyst
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are seeking a <strong>Data Analyst</strong> with strong <strong>Power BI</strong> experience to transform data into actionable insights that drive business decisions. This role will be responsible for gathering requirements, analyzing complex datasets, developing dashboards and reports, and partnering with stakeholders across the organization to improve business performance.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain interactive <strong>Power BI dashboards and reports</strong></li><li>Collect, analyze, and interpret large datasets from multiple sources</li><li>Translate business requirements into meaningful data visualizations and reporting solutions</li><li>Create and optimize data models, measures, and calculations using <strong>DAX</strong></li><li>Develop and maintain data extraction, transformation, and loading (ETL) processes</li><li>Perform data validation and quality assurance to ensure reporting accuracy</li><li>Identify trends, patterns, and opportunities through data analysis</li><li>Partner with business stakeholders to understand reporting needs and provide recommendations</li><li>Automate recurring reports and improve reporting efficiency</li><li>Document data definitions, reporting processes, and business logic</li></ul><p><br></p>
  • 2026-06-29T00:00:00Z
Data Analyst
  • Washington, DC
  • onsite
  • Temporary / Contract
  • 33 - 37 USD / Hourly
  • <p>We are looking for a Data Analyst to support the creation, maintenance, and analysis of custom-formatted data reports that drive business decisions and operational improvements. This role will be responsible for transforming project requirements into actionable reporting solutions, managing the complete data lifecycle, and providing meaningful insights to Project Managers and stakeholders.</p><p>The ideal candidate will have experience working with large and complex datasets, strong SQL skills, excellent analytical abilities, and prior experience within the banking or financial services industry. This role requires a detail-oriented professional who can evaluate business processes, identify opportunities for improvement, and recommend data-driven solutions.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>·        Translate business and project requirements into customized data reports and dashboards.</p><p>·        Manage the end-to-end data generation lifecycle, including data extraction, validation, transformation, reporting, and documentation.</p><p>·        Analyze business processes and identify data-driven opportunities to improve efficiency, accuracy, and decision-making.</p><p>·        Develop, create, and maintain SQL queries to extract, manipulate, and analyze large datasets.</p><p>·        Perform data audits to ensure completeness, consistency, and accuracy across multiple data sources.</p><p>·        Identify data anomalies, gaps, quality issues, and reporting discrepancies and coordinate resolution efforts with stakeholders.</p><p>·        Provide critical insights and reporting summaries to Project Managers and business leaders.</p><p>·        Support data quality initiatives through systematic review processes and implementation of data controls.</p><p>·        Analyze trends, metrics, and operational performance indicators to support strategic business decisions.</p><p>·        Maintain thorough process documentation, reporting standards, and data governance practices.</p><p>·        Collaborate with cross-functional teams to validate business requirements and reporting outputs.</p>
  • 2026-07-10T00:00:00Z
Data Analyst
  • New York, NY
  • onsite
  • Temporary to Hire
  • 22.1635 - 25.663 USD / Hourly
  • We are looking for a detail-oriented Data Analyst to join a fast-paced airport hospitality organization. This contract position with permanent potential supports purchasing and financial operations by ensuring data is entered accurately, documentation is complete, and internal teams have the information needed to keep projects and payments moving efficiently. The role offers a strong opportunity to build experience across procurement, accounts payable, and supply chain activities while working in a collaborative environment with a hybrid onsite schedule.<br><br>Responsibilities:<br>• Enter and update purchase order information with a high degree of accuracy while maintaining well-organized records.<br>• Review purchase order submissions and provide the accounts payable team with complete coding, allocation, and supporting details for timely processing.<br>• Work across business platforms such as Oracle, Sage, Procore, and Koreigo to track requests and maintain reliable data.<br>• Partner with construction and capital expenditure teams to support active projects and follow up with departments on outstanding information.<br>• Upload and organize backup documentation tied to purchase order activity to ensure files are complete and accessible.<br>• Identify data inconsistencies, missing information, or workflow concerns and communicate them promptly to leadership.<br>• Assist with administrative and operational tasks that support day-to-day purchasing and financial processes.<br>• Contribute to evolving procurement workflows, including work connected to system implementation activities where needed.
  • 2026-07-13T00:00:00Z
Data Analyst
  • Centreville, MI
  • onsite
  • Temporary to Hire
  • 31.6635 - 36.663 USD / Hourly
  • We are looking for a Data Analyst to join a non-profit organization in a contract-to-permanent capacity. This position will focus on building and improving data integration processes that support reporting, analytics, and day-to-day business operations. The role is ideal for someone who can turn complex data needs into dependable technical solutions while helping maintain strong data quality, performance, and governance standards.<br><br>Responsibilities:<br>• Develop and support data integration workflows that move information from internal systems, cloud environments, and external applications into centralized reporting platforms.<br>• Create, refine, and maintain scalable data pipelines that deliver accurate and timely datasets for analytics, operational reporting, and business intelligence tools.<br>• Investigate data inconsistencies, resolve processing issues, and establish validation checks to improve reliability and integrity across data assets.<br>• Contribute to data warehouse and data lake efforts by shaping transformation rules, supporting data models, and improving overall processing performance.<br>• Partner with stakeholders to understand reporting and analytical needs, then translate those needs into efficient and sustainable data solutions.<br>• Prepare and maintain clear technical documentation covering data mappings, process logic, workflow design, and integration steps.<br>• Enhance database and query performance while supporting scheduling, automation, and operational stability for recurring data jobs.<br>• Provide dependable data support for visualization and reporting platforms such as Power BI, Tableau, and similar business intelligence tools.<br>• Participate in data migration, application integration, and master data management initiatives as part of broader enterprise data projects.<br>• Help uphold data governance, security, and retention standards across integration and reporting processes.
  • 2026-07-09T00:00:00Z
Data Analyst
  • Lewisville, TX
  • onsite
  • Permanent / Full Time
  • 75000 - 78000 USD / Yearly
  • <p>We are looking for a Data Analyst to support reporting, data interpretation, and decision making. This role turns business questions into clear data plans, builds practical reporting solutions, and delivers insights that non-technical stakeholders can use confidently. The position works across multiple databases and reporting tools to organize information, evaluate trends, and present findings in a concise and meaningful way.</p><p><br></p><p>Responsibilities:</p><p>• Translate stakeholder needs into organized data extraction and reporting approaches that support business decisions.</p><p>• Develop clear reports, analytical summaries, and impact models that make complex information accessible to operational teams.</p><p>• Query source systems and work with database structures, tables, and stored procedures across multiple platforms to gather accurate data.</p><p>• Combine information from different datasets to create reliable measures, validate results, and connect summary trends to detailed records.</p><p>• Build and maintain Excel-based dashboards, pivot-driven analyses, and presentation materials for business review discussions.</p><p>• Use SQL, Excel, Power BI, and presentation tools to deliver recurring and ad hoc analysis for business partners.</p><p>• Interpret relational data structures and support reporting solutions that align with data warehouse and schema design principles.</p><p>• Ensure all analytical work is completed with accuracy, professionalism, and consistency with organizational standarss</p>
  • 2026-06-11T00:00:00Z
Data Engineer I
  • Washington, DC
  • remote
  • Temporary / Contract
  • 44 - 47 USD / Hourly
  • <p>Data Automation Engineer – AI / AWS / Azure</p><p>Work Arrangement: Remote</p><p>Clearance Requirement: Ability to obtain Public Trust</p><p><br></p><p>Position Overview</p><p>We are seeking a highly skilled Data Automation Engineer to design and implement advanced, AI-driven automation solutions across hybrid AWS and Azure environments. This role is focused on building scalable data pipelines, integrating modern cloud services, and leveraging Generative AI technologies to enhance enterprise analytics and operational workflows.</p><p>The ideal candidate is a hands-on engineer with strong expertise in data engineering, cloud platforms, and automation, combined with the ability to innovate and solve complex technical challenges. This role provides the opportunity to work on mission-critical systems, supporting large-scale data processing, reporting, and AI-enabled applications.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering &amp; Pipeline Development</p><ul><li>Design, build, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, EMR, DynamoDB)</li><li>Develop and optimize ETL/ELT workflows across hybrid AWS and Azure environments</li><li>Integrate structured, unstructured, and streaming data across enterprise systems</li></ul><p>AI &amp; Automation Engineering</p><ul><li>Leverage Generative AI frameworks (AWS Bedrock, Azure OpenAI, LangChain, Hugging Face) to build intelligent automation</li><li>Implement solutions for embeddings, vector generation, and RAG workflows</li><li>Develop AI-driven tools for data quality, anomaly detection, and pipeline optimization</li><li>Build AI-powered copilots for monitoring, troubleshooting, and workflow automation</li></ul><p>Data Platform Integration &amp; Optimization</p><ul><li>Engineer real-time and batch ingestion pipelines using Spark, Kafka, and Flume</li><li>Integrate enterprise platforms and CRM data into data pipelines for analytics and reporting</li><li>Optimize SQL performance through stored procedures, indexing, and query tuning</li></ul><p>Cloud &amp; DevOps Practices</p><ul><li>Implement CI/CD pipelines using tools such as GitHub, Jenkins, or Azure DevOps</li><li>Develop infrastructure solutions using Infrastructure-as-Code (IaC)</li><li>Ensure cloud security through IAM, RBAC, encryption, and network isolation</li></ul><p>Collaboration &amp; Delivery</p><ul><li>Partner with cross-functional teams to gather requirements and deliver solutions</li><li>Support Agile delivery processes and continuous improvement initiatives</li><li>Provide technical troubleshooting and performance optimization across data systems</li></ul>
  • 2026-06-15T00:00:00Z
Data Engineer I
  • Houston, TX
  • remote
  • Temporary / Contract
  • 39 - 44 USD / Hourly
  • <p>Data Automation Engineer – Azure / AI / Data Platforms</p><p>Clearance Requirement: ability to obtain Public Trust</p><p><br></p><p>Position Overview</p><p>We are seeking a highly motivated Data Automation Engineer to design and implement modern, AI‑driven data solutions within a Microsoft Azure-based analytics ecosystem. This role focuses on building scalable pipelines, automating workflows, and integrating advanced analytics and AI capabilities across enterprise data platforms.</p><p>The ideal candidate brings strong experience in Azure data services, ETL pipeline development, and automation, along with a delivery-focused mindset and the ability to translate complex business requirements into technical solutions. This role supports mission-critical environments and requires eligibility for a Public Trust clearance.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering &amp; Pipeline Development</p><ul><li>Design and implement data pipelines using Azure Data Factory, Synapse, Spark, SQL, and Python</li><li>Build and maintain ETL/ELT workflows across structured and unstructured data sources</li><li>Support data ingestion, transformation, and integration for enterprise analytics platforms</li></ul><p>Automation &amp; AI Integration</p><ul><li>Develop automation solutions to improve efficiency, scalability, and reliability of data workflows</li><li>Research and implement AI/ML and Generative AI tools to enhance data processing and insights</li><li>Eliminate bottlenecks through intelligent automation and workflow optimization</li></ul><p>Data Quality, Governance &amp; Performance</p><ul><li>Implement data quality, integrity, and metadata management practices</li><li>Monitor and troubleshoot pipelines to ensure high availability and performance</li><li>Perform performance testing, tuning (query optimization, indexing), and pipeline benchmarking</li></ul><p>Collaboration &amp; Delivery</p><ul><li>Partner with engineering, DevOps, and business stakeholders to develop solutions</li><li>Participate in Agile/DevOps processes and continuous delivery cycles</li><li>Document pipeline performance, test results, and system improvements</li></ul>
  • 2026-06-15T00:00:00Z
Data Scientist II
  • San Ramon, CA
  • remote
  • Permanent / Full Time
  • 119000 - 180000 USD / Yearly
  • <p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
  • 2026-07-11T00:00:00Z
Data Analyst I
  • Phoenix, AZ
  • onsite
  • Temporary / Contract
  • 20 - 24 USD / Hourly
  • <p>We are looking for a Data Analyst I to support operational reporting and continuous improvement efforts in Phoenix, AZ. This is a long-term contract position for someone who enjoys examining data, uncovering patterns, and turning findings into practical process enhancements. The role suits a proactive individual who investigates issues thoroughly, works well with cross-functional partners, and brings a thoughtful approach to solving business problems.</p><p><br></p><p>Responsibilities:</p><p>• Review reporting outputs and workflow activity to spot recurring issues, performance patterns, and opportunities to improve efficiency.</p><p>• Examine underlying causes of operational challenges and recommend practical changes that reduce repeat work and support lasting improvement.</p><p>• Analyze ticket and process data to identify bottlenecks, highlight trends, and inform better day-to-day business decisions.</p><p>• Research unfamiliar or complex issues independently and work toward timely, well-supported resolution.</p><p>• Create clear documentation for findings, recommendations, and updated procedures so improvements can be consistently applied.</p><p>• Partner with internal stakeholders to simplify workflows, remove unnecessary steps, and strengthen overall operational effectiveness.</p><p>• Support ongoing refinement of reporting and business processes through structured analysis and follow-through on identified actions.</p>
  • 2026-07-08T00:00:00Z
Data Architect
  • Glendale, AZ
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p><strong>Data Architect</strong></p><p><em>Contract-to-permanent</em></p><p>The Data Architect is responsible for defining, governing, and evolving the organization’s enterprise data architecture across ERP, operational systems, and analytics platforms. This role ensures data consistency, scalability, and integrity as the organization executes ERP implementations and OpCo rollouts.</p><p>This position does <strong>not</strong> perform day-to-day reporting or operational data fixes. Instead, it defines the structure, standards, and guardrails that others operate within.</p><p><strong>Key Responsibilities</strong></p><p> </p><p>Data Architecture and Design</p><ul><li>Define and maintain enterprise data models across ERP, operational, and analytics platforms.</li><li>Design canonical data models for core domains such as customers, vendors, jobs, projects, financials, and assets.</li><li>Define data relationships and ownership across BuildOps, Procore, ERP finance, and downstream analytics systems.</li><li>Establish standards for master data, reference data, and transactional data.</li></ul><p>Data Governance and Quality</p><ul><li>Define data ownership, stewardship, and accountability by domain.</li><li>Establish data quality rules, validation standards, and reconciliation frameworks.</li><li>Partner with Applications Management and Operations Success Managers to align system configuration with data standards.</li><li>Define auditability and traceability standards for financial and operational data.</li></ul><p>Integration and Analytics Enablement</p><ul><li>Partner with integration engineers to define data contracts, schemas, and transformation rules.</li><li>Ensure data models support reporting, business intelligence, and downstream analytics use cases.</li><li>Review and approve data design decisions for new integrations and ERP modules.</li></ul><p>ERP and Implementation Support</p><ul><li>Support ERP implementations by validating data design, mappings, and cutover readiness.</li><li>Review data migration strategies to ensure alignment with target-state architecture.</li><li>Provide architectural guidance during fit-gap, design, and testing phases.</li></ul><p><br></p>
  • 2026-07-02T00:00:00Z
IT Data Analyst
  • Grand Rapids, MI
  • onsite
  • Permanent / Full Time
  • 90000 - 110000 USD / Yearly
  • We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions.<br><br>Responsibilities:<br>• Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders.<br>• Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction.<br>• Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs.<br>• Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities.<br>• Investigate system-related issues through root cause analysis and present recommendations backed by data findings.<br>• Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments.<br>• Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making.<br>• Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
  • 2026-06-18T00:00:00Z
Director of Data Science
  • San Antonio, TX
  • onsite
  • Permanent / Full Time
  • 120000 - 150000 USD / Yearly
  • We are looking for an accomplished Director of Data Science to lead enterprise data strategy and build strong governance, quality, and management practices across the organization. This role will partner with leaders in business and technology to ensure data is reliable, secure, and readily available to support operational performance and long-term planning. The ideal candidate brings a strategic mindset, strong leadership capability, and deep experience guiding teams through data-driven improvement initiatives.<br><br>Responsibilities:<br>• Shape and execute a company-wide data strategy that aligns data capabilities with business priorities and measurable outcomes.<br>• Direct governance programs that strengthen data ownership, stewardship, quality standards, and policy adherence across functions.<br>• Collaborate with cross-functional leaders to expand the use of trusted data in planning, analysis, and decision-making.<br>• Establish and refine controls, workflows, and standards that improve data accuracy, consistency, security, and regulatory compliance.<br>• Lead data-focused initiatives from planning through delivery, ensuring priorities, timelines, and results remain on track.<br>• Mentor and develop data professionals while promoting a culture of accountability, collaboration, and continuous learning.<br>• Track key performance indicators for data health and operational effectiveness, then recommend improvements based on findings.<br>• Support enterprise reporting, business intelligence, and broader data modernization efforts, including large-scale transformation initiatives when needed.
  • 2026-07-06T00:00:00Z
Data Engineer III
  • San Ramon, CA
  • remote
  • Permanent / Full Time
  • 104000 - 153000 USD / Yearly
  • <p>Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department.</p><p><br></p><p>Solution Design &amp; Technical Leadership</p><ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul><p>Data Infrastructure &amp; Platform</p><ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul><p>Data Quality, Governance &amp; Collaboration</p><ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul><p><br></p>
  • 2026-06-11T00:00:00Z
Data Reporting Analyst
  • Cleveland, OH
  • onsite
  • Temporary / Contract
  • 28.5 - 33 USD / Hourly
  • We are looking for a Data Reporting Analyst to support critical HR-related data, reporting, and system operations for an organization based in Cleveland, Ohio. This Long-term Contract position offers the opportunity to work in a hybrid environment while helping maintain reliable data processes, reporting accuracy, and day-to-day system performance across multiple functional areas. The role is well suited for someone who combines strong analytical ability with hands-on experience in enterprise HR systems and can contribute to both operational support and process improvement.<br><br>Responsibilities:<br>• Oversee daily support activities for HR, payroll, benefits, student employment, and related data systems to help ensure consistent operations.<br>• Investigate and resolve system and data issues across enterprise platforms, partnering with technical teams and business stakeholders as needed.<br>• Coordinate testing efforts for updates, patches, and system enhancements to confirm functionality, accuracy, and compliance.<br>• Administer user access, approval structures, and organizational security settings that affect HR and payroll processes.<br>• Perform data validation, cleanup, reconciliation, and documentation activities to support accuracy across PeopleSoft, Workday, and connected systems.<br>• Develop recurring and on-demand reports, including compliance-focused reporting and responses to formal data requests.<br>• Analyze workflows, reporting structures, and system controls to identify opportunities for stronger efficiency and data quality.<br>• Support activities related to system transition efforts by helping maintain clean data, reliable reporting, and documented processes across platforms.
  • 2026-07-13T00:00:00Z
Analytics Engineer
  • Des Moines, IA
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for an Analytics Engineer to join a business services team in Urbandale, Iowa on a contract basis with the potential for a permanent role. This role focuses on building scalable data models and business intelligence solutions that turn complex information into clear, reliable insights. The ideal candidate brings strong experience in data warehousing concepts, BI semantic modeling, and modern analytics platforms across both on-premises and cloud environments.<br><br>Responsibilities:<br>• Design and maintain dimensional data models that support reporting needs, including star and snowflake structures, fact tables, dimension tables, and slowly changing dimensions.<br>• Develop relational models using sound database design principles, ensuring appropriate use of keys, entity relationships, and data integrity standards.<br>• Create and enhance semantic layers for reporting and analytics in Power BI, Microsoft Fabric, and tabular modeling environments.<br>• Build calculations, measures, and reusable logic that improve reporting consistency and support trusted business definitions.<br>• Partner with stakeholders to translate business questions into scalable BI models and actionable analytical solutions.<br>• Apply data governance practices to improve model quality, consistency, and alignment with enterprise reporting standards.<br>• Use DAX and Power Query to prepare, model, and optimize data for dashboards, reporting, and self-service analytics.<br>• Contribute to analytics solutions that connect on-premises data environments with cloud-based platforms such as Fabric, Synapse, Databricks, or similar technologies.
  • 2026-07-08T00:00:00Z
Data Analyst III
  • Windsor, CT
  • onsite
  • Temporary / Contract
  • 33 - 38 USD / Hourly
  • We are looking for a Data Analyst III to join a team in Windsor, Connecticut, where you will help connect data sources, support reporting needs, and resolve integration-related issues across business systems. This Long-term Contract position is well suited for someone with early to mid-level experience who is comfortable working with databases, APIs, and Power BI while partnering with both business and technical teams. The role offers the opportunity to turn operational needs into practical reporting solutions, improve data reliability, and assist users through clear communication and analysis.<br><br>Responsibilities:<br>• Build, revise, and support SQL queries and stored procedures to deliver reliable data for reporting and operational use.<br>• Contribute to system integration efforts by assisting with API connectivity, monitoring data flows, and investigating interface problems.<br>• Create and refine Power BI dashboards and reports that present meaningful insights for business users and stakeholders.<br>• Gather business needs from cross-functional partners and convert those needs into clear technical specifications and data solutions.<br>• Work closely with IT and project teams during development, testing, deployment, and follow-up issue resolution activities.<br>• Provide support to internal teams and external customers by answering questions, researching data concerns, and clarifying integration behavior.<br>• Perform initial debugging and help identify root causes for reporting discrepancies, data defects, and system-related errors.<br>• Review data outputs for consistency and accuracy to help maintain strong data quality across reports and integrated platforms.
  • 2026-07-09T00:00:00Z
Data Analytics Lead
  • Tallahassee, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Data Analytics Lead to join our team in Ft Lauderdale, Florida, on a contract basis. In this role, you will take on a pivotal position overseeing analytics initiatives, combining technical expertise with strategic leadership. This opportunity is ideal for professionals who excel in dynamic environments and are eager to shape the future of data-driven decision-making.<br><br>Responsibilities:<br>• Lead comprehensive analytics projects spanning data engineering, reporting, and strategic insights.<br>• Develop and maintain scalable data pipelines using tools such as Azure Data Factory and Azure Synapse.<br>• Create and optimize dashboards and reports utilizing Power BI to support business objectives.<br>• Collaborate closely with leadership to translate business requirements into actionable insights.<br>• Enhance and manage the organization&#39;s data architecture and analytics infrastructure.<br>• Offer strategic guidance on data practices and analytics methodologies.<br>• Balance hands-on technical tasks with leadership responsibilities to drive team success.
  • 2026-06-17T00:00:00Z
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