We are looking for an experienced Data Engineer to join a long-term contract engagement in Colorado. This position centers on designing and improving cloud-based data solutions that support enterprise analytics and AI-driven initiatives. The role is ideal for a hands-on, detail-oriented individual who excels in preparing reliable, scalable data assets and partnering with technical teams in a modern Microsoft-focused environment.<br><br>Responsibilities:<br>• Design, develop, and enhance scalable data pipelines to support enterprise reporting, analytics, and AI use cases.<br>• Transform, cleanse, and organize complex data from multiple sources so it can be used effectively by downstream engineering and machine learning teams.<br>• Build and maintain robust data workflows in a cloud-based ecosystem using Microsoft Fabric, Synapse Analytics, Azure Data Factory, and Databricks.<br>• Collaborate with data engineers, ML engineers, and other technical stakeholders to create efficient and dependable data architecture.<br>• Monitor pipeline performance and resolve issues related to data quality, reliability, and processing efficiency across platforms.<br>• Orchestrate data ingestion, movement, and transformation processes for large-volume datasets in a backend-focused engineering environment.<br>• Support AI and machine learning initiatives by delivering well-structured datasets optimized for model development and operational use.<br>• Contribute to scalable lakehouse or warehouse-oriented data solutions while helping align engineering practices with cloud data best practices.
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment.<br><br>Responsibilities:<br>• Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI.<br>• Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments.<br>• Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions.<br>• Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization.<br>• Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices.<br>• Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth.<br>• Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions.<br>• Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business.<br>• Administer BI platforms to maintain performance, reliability, and appropriate security controls.<br>• Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
<p>We are partnering with a well-established organization that is investing heavily in its enterprise data platform and analytics capabilities. As they continue to expand their data ecosystem, they are seeking a Business Intelligence Analyst to join a collaborative team responsible for building, maintaining, and enhancing enterprise data models that support critical business operations and decision-making.</p><p>This role is ideal for someone who enjoys working on the technical side of business intelligence, creating scalable data solutions, developing enterprise data models, and ensuring reliable data is available for reporting and analytics across the organization.</p><p>What You'll Be Doing</p><ul><li>Design, develop, and maintain enterprise data models that support reporting and analytics initiatives across the organization.</li><li>Build and enhance data pipelines that integrate multiple business systems and data sources.</li><li>Collaborate with business and technical stakeholders to understand data requirements and implement scalable solutions.</li><li>Support and administer Power BI environments, including semantic models, refresh schedules, capacity management, and performance optimization.</li><li>Develop and maintain SQL and Python-based solutions for data transformation, automation, and data quality initiatives.</li><li>Troubleshoot data issues, resolve defects, and support ongoing enhancements to enterprise data assets.</li><li>Participate in an on-call rotation supporting critical enterprise data platforms and reporting environments.</li><li>Contribute to Agile ceremonies and collaborate closely with team members on backlog prioritization and project delivery.</li></ul><p>Technical Environment</p><ul><li>Snowflake</li><li>dbt</li><li>SQL</li><li>Python</li><li>Power BI</li><li>Terraform</li><li>GitHub Copilot</li></ul><p>Why Consider This Opportunity?</p><ul><li>Join a highly collaborative and technically focused data team.</li><li>Work on enterprise-scale data models that support critical business functions across the organization.</li><li>Contribute to a growing data platform with significant investment and leadership support.</li><li>Influence the future direction of business intelligence, analytics, and data engineering initiatives.</li><li>Opportunity to work with modern cloud data technologies and emerging AI capabilities.</li></ul><p>This position is best suited for a BI professional who enjoys building and maintaining the data foundation behind reporting and analytics rather than focusing solely on dashboard creation and business-facing analysis.</p>
<p>We are seeking a Business Intelligence Analyst with strong experience supporting Microsoft Dynamics 365 Finance & Operations (F&O) and Dynamics 365 Customer Engagement (CE/CRM) environments. This role will be responsible for developing enterprise reporting solutions that provide actionable insights into sales, inventory, and operational performance.</p><p>The ideal candidate understands how data flows through Dynamics 365 modules and can transform that data into meaningful Power BI dashboards and reports. This position will play a key role in ongoing efforts to unify Dynamics F&O and CRM data, delivering a centralized reporting experience for executive leadership and business stakeholders.</p><p><br></p><p>This role is <strong>HYBRID </strong>(3 days onsite) in Irvine, CA</p><p><br></p><p>Key Responsibilities</p><ul><li>Develop and maintain Power BI dashboards and reports that support sales, inventory, finance, and operational reporting.</li><li>Leverage expertise in <strong>Dynamics 365 F&O and Dynamics 365 CE/CRM</strong> to ensure accurate reporting and data interpretation.</li><li>Analyze Dynamics 365 data structures, relationships, and workflows to build scalable reporting solutions.</li><li>Partner with business stakeholders to gather requirements and translate them into executive-level dashboards and self-service reporting tools.</li><li>Support companywide initiatives to integrate and unify data across Dynamics 365 platforms.</li><li>Create reporting solutions that combine ERP and CRM data into a single source of truth.</li><li>Improve report performance, usability, and adoption across the organization.</li><li>Assist with the migration of reporting assets from Azure Synapse to Microsoft Fabric.</li><li>Validate, test, and optimize reporting solutions within Microsoft's modern data ecosystem.</li><li>Help reduce reliance on ad-hoc reporting by delivering trusted, centralized business intelligence solutions.</li></ul>
<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>
<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 & 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 & 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 & 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>
We are looking for a commercially minded Data Analyst to support procurement decision-making within a major real estate environment in Chicago, Illinois. This Long-term Contract position focuses on turning complex procurement and supplier data into practical insights that improve sourcing strategy, performance visibility, and cost control. The role works standard Eastern Hours and partners closely with procurement, finance, and business stakeholders to strengthen reporting, automation, and data quality across the function.<br><br>Responsibilities:<br>• Create and refine Power BI dashboards that provide clear visibility into spend patterns, supplier results, contract activity, and key procurement measures.<br>• Examine procurement data across areas such as property services, facilities, construction, fit-out, and specialized services to uncover trends and improvement opportunities.<br>• Perform detailed spend and benchmarking analysis to highlight savings potential, strengthen category strategies, and support more informed purchasing decisions.<br>• Track compliance-related metrics, identify off-contract purchasing behavior, and prepare reporting that supports governance across procurement activities.<br>• Build and maintain scalable data workflows using Microsoft technologies, including Fabric, Data Factory, Dataflows Gen2, Databricks, and related cloud-based tools.<br>• Develop unified procurement datasets by combining information from enterprise platforms, contract systems, and supplier sources into reliable analytical models.<br>• Use SQL, Python, and PySpark to clean, structure, and transform large volumes of data for reporting and advanced analysis.<br>• Design automation solutions with Power Automate to reduce manual effort, improve accuracy, and increase team productivity.<br>• Work with procurement leaders, finance partners, and other stakeholders to translate business questions into meaningful analysis and present findings in a clear, business-focused way.<br>• Maintain documentation for data definitions, reporting logic, and governance standards while promoting data quality and self-service reporting adoption within the team.
<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 & 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 & 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 & 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 & 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 & 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>
<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 & 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 & 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 & 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 & 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>
We are looking for a detail-oriented Data Analyst with expertise in Microsoft Excel to join our team in Tampa, Florida. In this role, you will work with raw data, transforming it into meaningful insights and actionable reports to support organizational initiatives. The ideal candidate thrives in analyzing complex datasets and has a strong understanding of data integrity, visualization, and reporting standards.<br><br>Responsibilities:<br>• Organize, analyze, and interpret raw data using advanced Excel functionalities, including formulas, macros, and pivot tables.<br>• Consolidate and integrate data from multiple sources to build cohesive reports and dashboards.<br>• Create and deliver detailed presentations and reports tailored to various stakeholders, including executives and board members.<br>• Ensure data accuracy and consistency through regular audits and quality checks.<br>• Collaborate with team members to enhance data collection processes and implement best practices.<br>• Develop and maintain centralized data repositories for streamlined reporting.<br>• Identify trends and patterns in data to provide actionable insights for organizational improvement.<br>• Train staff on data management tools and techniques to promote consistent and efficient data handling.<br>• Monitor performance indicators to detect discrepancies and recommend corrective actions.<br>• Implement protocols to guarantee data security and compliance with organizational standards.
We are looking for a Marketing Data Analyst to turn marketing and customer data into clear insights that strengthen campaign strategy and business decisions for a financial services organization in Troy, Michigan. This role combines reporting, audience analysis, market research, and cross-functional collaboration to improve marketing performance across multiple channels. The ideal candidate brings strong analytical ability, experience working with CRM or marketing data platforms, and a practical understanding of how data can support member-focused growth. <br> Responsibilities: • Serve as the internal expert on the CRM marketing data platform and related tools, helping the team maximize system capabilities and maintain reliable data usage practices. • Create, run, and verify database queries while routinely reviewing data quality to support accurate reporting and dependable campaign execution. • Combine internal financial services information with external and industry data sources to enrich analysis and strengthen marketing initiatives. • Produce recurring reports and dashboards that track campaign outcomes, brand indicators, referral activity, and performance across paid, earned, and owned channels. • Partner with campaign owners and business stakeholders to interpret results, identify trends, and recommend adjustments that improve marketing effectiveness. • Conduct primary and secondary research to support decisions related to brand positioning, product and service opportunities, pricing considerations, and member engagement strategies. • Build audience segments using first-party and third-party data, applying analytical methods to refine targeting for prospecting, onboarding, re-engagement, and automated marketing journeys. • Work with vendors, IT, and internal teams to gather insights, support testing strategies, monitor lead progression from initial response through conversion, and fulfill specialized reporting or research requests.
We are looking for a motivated early-career Data Analyst to support utility and sustainability-related data work for a long-term contract opportunity based in Chicago, Illinois. This position is ideal for an entry-level candidate or a detail-oriented individual who enjoys organizing complex information, improving data quality, and turning numbers into practical business insight. You will work closely with finance, real estate, and sustainability partners to help monitor utility spending, strengthen reporting accuracy, and support informed decision-making in a hybrid environment with three in-office days each week.<br><br>Responsibilities:<br>• Review and maintain large volumes of utility data, including invoices for services such as electricity, gas, water, and waste, to help ensure records are complete and accurate.<br>• Examine billing information against agreements and supporting documents to identify discrepancies, support reconciliations, and promote cost control.<br>• Clean, standardize, and organize data from multiple sources so it can be used reliably for tracking, analysis, and reporting.<br>• Assist with dashboards, summaries, and visual reports that present findings clearly to finance, real estate, sustainability, and leadership stakeholders.<br>• Prepare data for sustainability-related reporting, including utility consumption, emissions tracking, and other environmental performance measures.<br>• Document data sources, assumptions, and review steps to strengthen auditability, consistency, and internal controls.<br>• Partner with internal teams as well as outside vendors or utility providers to resolve data questions and improve reporting quality.<br>• Contribute to process improvements in invoice handling, data validation, and recurring analysis to make reporting more efficient over time.
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'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.
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.
Job Responsibilities Design, build, and maintain scalable ERP data pipelines for platforms such as Workday and enterprise systems Own end‑to‑end lifecycle of ERP data pipelines (ingestion → transformation → delivery) Support data conversion and migration initiatives (e.g., M&A, system integrations) Ensure pipeline reliability, recoverability, and stable production operations Troubleshoot pipeline failures and resolve root causes of data defects and operational issues Partner with business analysts and stakeholders to translate requirements into data solutions Implement and enforce SDLC best practices (version control, code reviews, CI/CD, release management) Develop and maintain data quality controls (freshness, completeness, anomaly detection, schema management) Detect and manage schema drift and downstream data issues proactively Build and maintain monitoring, alerting, and observability for data pipelines Optimize performance, scalability, and cost of data workloads Track operational KPIs (e.g., pipeline success rates, SLAs, incident trends, recovery times) Create runbooks, documentation, and audit‑ready operational processes Collaborate with data governance, security, and compliance teams on controls and data access Support analytics, reporting, and integration teams with reliable, well‑governed datasets Communicate effectively with technical and non‑technical stakeholders and escalate risks early
We are looking for an experienced Healthcare SQL/Python Data Analyst to join our team in Sarasota, Florida. In this role, you will play a critical part in analyzing and integrating healthcare data to support organizational goals. If you have a strong technical background and a passion for leveraging data to improve healthcare solutions, we encourage you to apply.<br><br>Responsibilities:<br>• Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets.<br>• Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs.<br>• Utilize Python for advanced data processing, automation, and analytical tasks.<br>• Integrate and manage data from multiple sources, ensuring accuracy and consistency.<br>• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.<br>• Design and generate reports using SSRS to present findings to internal teams and leadership.<br>• Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems.<br>• Troubleshoot and resolve issues related to data quality, integration, and system performance.<br>• Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.
<p>We are seeking an experienced Business Reporting Analyst to support enterprise contact center operations through the development of reporting, analytics, and business intelligence solutions. This senior-level role is responsible for identifying data requirements, ensuring data integrity, and delivering actionable insights that drive operational performance and strategic decision-making.</p><p><br></p><p>The ideal candidate possesses strong analytical and technical skills, experience with contact center technologies, and the ability to translate complex business requirements into meaningful reports, dashboards, and performance metrics.</p><p><br></p><p>**Position is fully onsite in Newark, CA 94560**</p><p>**Position is potential contract to hire based on performance - 6-month contract to start out**</p><p><br></p><p>Key Responsibilities</p><ul><li>Partner with operational leaders, workforce management teams, project managers, and business stakeholders to understand reporting needs and define key performance metrics.</li><li>Translate business and reporting requirements into technical specifications, report designs, and dashboard solutions.</li><li>Design, develop, maintain, and optimize operational reports, scorecards, dashboards, and data visualizations.</li><li>Extract, integrate, and analyze data from multiple enterprise systems and data sources.</li><li>Develop and maintain databases, reporting repositories, and business intelligence solutions that support organizational objectives.</li><li>Ensure the quality, accuracy, and integrity of data used for reporting and analytics.</li><li>Identify trends, patterns, and opportunities for operational improvement through data analysis.</li><li>Develop new performance metrics and reporting methodologies to measure business outcomes.</li><li>Support ad hoc reporting requests from leadership and departmental stakeholders.</li><li>Conduct report testing, validation, and troubleshooting to ensure reliability and accuracy.</li><li>Document reporting processes, data definitions, and reporting standards.</li><li>Serve as a subject matter expert and mentor to junior analysts when needed.</li></ul><p><br></p>
<p><strong>Smart Connected Warehouse (SCW) Analyst</strong></p><p><strong>Contract | Onsite | Milan, IL</strong></p><p><br></p><p><em>Visa sponsorship is not available now or in the near future.</em></p><p><br></p><p>This onsite <strong>Smart Connected Warehouse (SCW) Analyst</strong> opportunity in Milan, IL offers the chance to be directly involved in warehouse technology transformation. You’ll support modern warehouse management systems while working closely with operations teams in a fast‑paced, real‑world environment.</p><p><br></p><p>If you’re someone who enjoys being close to the floor, partnering with operations teams, and helping people adopt new systems and processes, this role offers meaningful exposure to large‑scale warehouse transformation initiatives.</p><p><br></p><p><strong>What You’ll Do</strong></p><p>As an SCW Analyst, you’ll be embedded with warehouse and IT partners to support Smart Connected Warehouse (SCW) and Parts IT Modernization (PITM) initiatives. Your work will directly impact how facilities operate day‑to‑day.</p><p>You will:</p><ul><li>Provide production support for facilities where modern warehouse solutions are already deployed</li><li>Support the rollout of new system capabilities as they are introduced</li><li>Create training documentation for both warehouse office staff and floor operators</li><li>Deliver end‑user training and provide onsite support during implementations</li><li>Prepare facilities for upcoming PITM implementations</li><li>Train operators on the new Warehouse Management System (WMS)</li><li>Troubleshoot issues during and after system go‑lives</li><li>Partner closely with operations, engineering, and IT stakeholders to ensure successful adoption</li></ul><p><br></p><p><strong>Why This Role Is Worth Considering</strong></p><ul><li>Direct involvement in large‑scale warehouse modernization at a global organization</li><li>Strong exposure to WMS implementations and operational change management</li><li>Opportunity to build experience at the intersection of operations, technology, and training</li><li>Ideal for candidates who prefer being onsite, solving real problems, and working with end users</li></ul><p><br></p><p><strong>Work Environment & Schedule</strong></p><ul><li>Onsite role only (no remote or hybrid option)</li><li>Core hours: 7:30 AM – 4:00 PM</li><li>Overtime may be requested based on project needs</li><li>Travel may include Illinois, Indiana, and Canada</li></ul><p>Connect with Erin, Christin or McKinzie today to learn more - these roles will progress quickly! Call us direct today at (563) 359-3995!</p>
We are looking for a skilled Oracle FDI - Data Reporting Analyst to join a Long-term Contract opportunity in Reading, Pennsylvania. In this role, you will create and improve reporting solutions that help teams understand workforce performance, operational activity, and broader business trends. You will work closely with both business partners and technical teams to turn data needs into practical dashboards, reports, and insights that support informed decision-making.<br><br>Responsibilities:<br>• Design, build, and refine dashboards, recurring reports, and visual analytics that support enterprise reporting objectives.<br>• Use Oracle Fusion Data Intelligence to gather, interpret, and present workforce and business data in a meaningful way.<br>• Collaborate with Workforce Technology leaders and cross-functional stakeholders to define reporting needs and deliver useful data solutions.<br>• Perform data preparation activities such as validation, transformation, and modeling to improve the reliability of reporting outputs.<br>• Connect and organize data from multiple sources to support scalable analytics across reporting environments.<br>• Analyze patterns and reporting results to highlight trends, strengthen data quality, and support business decisions.<br>• Maintain and enhance existing reporting assets to ensure they remain accurate, relevant, and aligned with organizational priorities.
We are looking for a Data/Information Architect to lead the design of advanced AI and data solutions that support strategic business goals in Richardson, Texas. This role blends architecture leadership with hands-on experimentation, requiring someone who can translate complex business needs into scalable technical approaches. The ideal candidate will assess emerging technologies, shape future-state architecture, and guide teams in bringing practical AI and machine learning capabilities into enterprise environments.<br><br>Responsibilities:<br>• Partner with business stakeholders and technical teams to define high-value AI and machine learning use cases and shape solution approaches that align with organizational objectives.<br>• Design enterprise architecture for intelligent systems spanning machine learning, generative AI, deep learning, virtual assistants, and cognitive technologies such as image and language processing.<br>• Produce target-state architecture artifacts and validate proposed designs through prototypes, pilot solutions, and minimum viable products.<br>• Review external platforms, tools, and vendor offerings in the AI/ML landscape and recommend options based on business fit, technical readiness, and long-term value.<br>• Contribute to strategic roadmaps covering AI, machine learning, advanced analytics, large language models, agent-based solutions, computer vision, data platforms, and event-driven processing.<br>• Stay current with industry advancements by continuously researching emerging practices, frameworks, and architectural patterns across AI and cloud-native technologies.<br>• Build proof-of-concept solutions quickly and independently to test models, algorithms, and technical approaches against real business challenges.<br>• Prepare and analyze data for experimentation by scripting data discovery, cleansing, transformation, and feature development activities across varied datasets.<br>• Support engineering and data science teams with architectural guidance for deploying, integrating, and operationalizing AI/ML capabilities within enterprise applications and workflows.
We are looking for an experienced Data Analyst IV (Contractor) to provide senior-level analytical support for a Long-term Contract position based in Philadelphia, Pennsylvania. In this role, you will partner with business teams to turn complex data into practical recommendations that guide decisions, improve performance, and maintain continuity across critical analytics activities. This opportunity is well suited for a self-directed, detail-oriented individual who can balance recurring reporting with deeper investigative analysis while working closely with cross-functional stakeholders.<br><br>Responsibilities:<br>• Partner with business leaders and cross-functional teams to clarify analytical needs and translate them into effective data-driven approaches.<br>• Examine large and complex datasets to uncover patterns, performance drivers, and meaningful business insights.<br>• Lead exploratory analysis and test hypotheses to support strategic planning and informed decision-making.<br>• Retrieve, join, and analyze information from multiple systems and cloud-based data sources to build a complete view of business performance.<br>• Present findings through dashboards, visual storytelling, and concise recommendations tailored to stakeholder audiences.<br>• Measure the impact of business initiatives, marketing efforts, and product enhancements using structured performance analysis.<br>• Work closely with internal partners to align priorities, manage deliverables, and support broader team objectives.<br>• Independently organize workload and make sound analytical judgments based on urgency, business value, and operational needs.
<p>We are looking for a collaborative Business Intelligence (BI) Analyst to support technology operations and data-driven improvements for a construction-focused organization in Honolulu, Hawaii. This position works closely with a hands-on IT team to strengthen daily system performance, assist end users, and contribute to ongoing infrastructure and security enhancements. The role is well suited for someone who enjoys balancing responsive technical support with continuous process improvement in an evolving environment. To apply for this role, please call Melissa at 808.452.0254. Preference will be given to applicants currently residing in Hawaii due to the nature of the job requirements.</p><p><br></p><p>Responsibilities:</p><p>• Partner with internal IT staff to maintain reliable network, server, and end-user technology across the organization.</p><p>• Configure, monitor, and troubleshoot core infrastructure components, including switches, gateways, firewalls, wireless connectivity, VLANs, and IP-based services.</p><p>• Support identity and access administration by managing user accounts, permissions, policy settings, and related directory services.</p><p>• Help administer Microsoft 365, Exchange environments, virtualization platforms, and backup systems to promote stability and recoverability.</p><p>• Resolve Tier 1 and Tier 2 technical issues involving desktops, thin clients, mobile devices, and essential business applications.</p><p>• Prepare, deploy, refresh, and document workstations and other devices throughout the hardware lifecycle.</p><p>• Provide functional support for specialized platforms such as AutoCAD, Trimble solutions, BIM360, CAMduct, and cloud-based operational systems.</p><p>• Maintain asset records, warranty details, equipment assignments, and organized inventory storage for IT hardware.</p><p>• Contribute to infrastructure modernization projects, including server room organization, cable management, equipment retirement, and secure disposal of legacy technology.</p>
<p>Our client is hiring an Entry-Level Analyst for an ongoing temp-to-hire opportunity. This role is ideal for a motivated early-career professional who is eager to gain hands-on experience supporting reporting, data review, and business operations. The right candidate will be detail-oriented, organized, and comfortable working with data in a fast-paced environment.</p><p>Responsibilities:</p><ul><li>Gather, review, and maintain data for reporting purposes</li><li>Assist in preparing spreadsheets, reports, and summaries for internal teams</li><li>Identify inconsistencies, trends, and data issues for follow-up</li><li>Support day-to-day business analysis and operational tasks</li><li>Partner with team members across departments to fulfill reporting needs</li><li>Maintain documentation and ensure accuracy of records</li><li>Assist with process improvement initiatives and ad hoc projects</li></ul><p><br></p>
<p>Robert Half is seeking experienced Entry Level Analysts for contract opportunities with clients in Bothell, WA. Our clients in the local area frequently seek experienced Entry Level Analysts with Workday experience to support reporting, data analysis, system updates, and business operations. These are ongoing contract postings intended to connect with qualified professionals for current and future opportunities in the local market. Based on general knowledge.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Support data entry, reporting, and analysis for business operations</li><li>Use Workday to maintain, review, and update system data</li><li>Generate routine and ad hoc reports for internal stakeholders</li><li>Assist with data validation, auditing, and issue resolution</li><li>Analyze trends and support process improvement initiatives</li><li>Partner with cross-functional teams to ensure data accuracy and consistency</li><li>Provide administrative and analytical support for ongoing projects</li></ul>
<p>Our client is seeking an Entry-Level Analyst for an ongoing temp-to-hire opportunity. This is an excellent role for a detail-oriented professional looking to build experience in analysis, reporting, and business operations while contributing to a fast-paced team environment.</p><p>The Entry-Level Analyst will support day-to-day analytical activities, help organize and interpret data, prepare reports, and assist with identifying trends and process improvements. This role offers strong potential for long-term growth and permanent hire based on performance and business needs.</p><p>Key Responsibilities:</p><ul><li>Collect, review, and analyze data to support business decisions</li><li>Prepare routine reports, summaries, and dashboards</li><li>Assist with identifying trends, discrepancies, and opportunities for improvement</li><li>Maintain accurate records and ensure data integrity</li><li>Support cross-functional teams with research and analysis</li><li>Help streamline processes and improve reporting efficiency</li><li>Perform other administrative and analytical duties as needed</li></ul><p><br></p>