We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem.<br><br>Responsibilities:<br>• Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance.<br>• Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting.<br>• Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets.<br>• Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework.<br>• Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs.<br>• Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs.<br>• Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability.<br>• Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
We are looking for an experienced Software Architect to provide deep technical leadership for a Db2 environment that supports a transportation management platform in Burlingame, California. This Long-term Contract position focuses on evaluating the current database and infrastructure landscape, strengthening performance and reliability, and recommending practical improvements that support critical business operations. The role also partners with technical stakeholders to solve complex platform issues, document findings, and guide modernization efforts while maintaining application stability.<br><br>Responsibilities:<br>• Evaluate the existing Db2 platform, operating model, and supporting architecture to uncover performance gaps, capacity concerns, security risks, and reliability issues.<br>• Analyze workload behavior across transactional processes and reporting activity, using execution plans, indexing strategy, locking patterns, memory settings, logging, and storage usage to recommend measurable improvements.<br>• Review custom SQL and related application workflows, then refine inefficient queries or propose alternative functional approaches when database changes alone are not the best solution.<br>• Resolve production-facing database and platform problems, including slowdowns, failed scheduled processing, storage limitations, replication concerns, backup or recovery issues, and interruptions to availability.<br>• Improve the Windows-based environment currently supporting Db2 by assessing server configuration, memory utilization, disk and file system performance, network settings, service permissions, and security controls.<br>• Build and enhance automation for recurring operational checks, configuration validation, backup confirmation, and ongoing monitoring using PowerShell or similar scripting tools.<br>• Support the migration of a large production Db2 database from Windows to Linux by defining readiness criteria, dependency reviews, data movement strategy, testing plans, cutover activities, rollback steps, and post-go-live stabilization.<br>• Configure and tune Linux infrastructure for Db2, including storage mounts, permissions, resource thresholds, networking, service management, and monitoring integration.<br>• Work closely with vendor support and engineering teams to investigate open cases, accelerate issue resolution, and validate platform changes through benchmarking and documented runbooks.
<p>We are looking for a Staff Data Engineer to shape the direction of enterprise data platforms in Brookfield, Wisconsin. In this role, you will guide technical decisions, partner with engineering and leadership teams, and build scalable solutions across hybrid environments. This position focuses on delivering secure, high-performing data capabilities that support both internal operations and client-facing data products while maintaining strong governance and privacy standards. <strong><em>Health care industry experience is strongly desired. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Provide senior technical guidance on data platform architecture, serving as a key advisor to engineering partners and business leaders.</p><p>• Design and evolve scalable frameworks for ingesting, transforming, storing, and governing high-value data across warehouse and lakehouse environments.</p><p>• Lead delivery of complex data initiatives by aligning project scope, coordinating contributors, and communicating progress, risks, and outcomes to stakeholders.</p><p>• Establish and uphold data governance, lineage, auditability, and stewardship practices, including administration of cataloging capabilities that improve visibility and control.</p><p>• Develop and enforce data security standards, including least-privilege access models and protections for sensitive and de-identified healthcare information.</p><p>• Architect and optimize robust batch, streaming, and event-driven pipelines that improve reliability, resilience, and processing efficiency at enterprise scale.</p><p>• Build and enhance cloud-based data solutions using Databricks, Delta Live Tables, Python, Scala, and ETL technologies to support diverse structured and unstructured datasets.</p><p>• Create and maintain infrastructure as code with Terraform and related deployment assets to strengthen platform consistency, scalability, and operational efficiency.</p><p>• Develop APIs and integration patterns that connect internal platforms and external systems, enabling dependable data exchange with third-party applications and client solutions.</p><p>• Monitor platform performance, manage pipeline health, and partner with the business on cost-conscious designs that balance transparency, value, and long-term sustainability.</p>
<p>We are looking for a detail-oriented Data Specialist to support operations through accurate reporting, data analysis, and cross-functional coordination in South Carolina. This contract position with permanent potential is ideal for someone who enjoys working with spreadsheets, maintaining data integrity, and helping improve supply chain visibility through organized, reliable information. The selected candidate will play an important role in tracking logistics activity, supporting distribution processes, and communicating clearly with internal stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Build and manage Excel-based reports using functions such as VLOOKUP to organize large data sets and present findings clearly.</p><p>• Support data integration activities between reporting tools and operational platforms to improve consistency and accessibility.</p><p>• Monitor product and transportation cost information, helping teams track expenses and maintain reliable cost-related records.</p><p>• Review data for errors or missing details and resolve issues through careful research, follow-up, and documentation.</p><p>• Assist with logistics-related process updates and system-related data changes as needed while maintaining continuity in daily reporting activities.</p>
<p>Job Summary</p><p>We are seeking a detail-oriented Data Specialist to join a growing organization and support critical data management and administrative functions. This role is responsible for accurately entering, updating, maintaining, and verifying information across multiple systems while ensuring data integrity and confidentiality. The ideal candidate is highly organized, possesses strong attention to detail, and thrives in a fast-paced environment where accuracy and efficiency are essential. This position offers an opportunity to contribute to operational success by supporting reporting, record maintenance, and administrative processes.</p><p><br></p><p>Responsibilities</p><ul><li>Enter, update, and maintain data within company databases and internal systems with a high degree of accuracy.</li><li>Review records for completeness and accuracy, identifying and correcting discrepancies as needed.</li><li>Process large volumes of information while meeting productivity and quality standards.</li><li>Generate routine reports and assist with data audits as requested.</li><li>Organize and manage digital and physical documentation.</li><li>Support administrative projects, recordkeeping initiatives, and operational tasks.</li><li>Respond to data-related inquiries and research missing or incomplete information.</li><li>Assist with general office and administrative duties as needed.</li></ul><p><br></p>
<p> Administer production and nonproduction Oracle EBS environments, including application services, concurrent managers, Workflow Mailer, and application-tier components. • Install, configure, patch, upgrade, and clone Oracle EBS environments and supporting Oracle databases using Oracle-supported tools and procedures. • Manage EBS R12.2 online patching using ADOP, including readiness checks, execution, validation, and troubleshooting. • Maintain AutoConfig settings, context files, Oracle WebLogic Server, and Oracle HTTP Server. • Apply database patches and perform upgrades in accordance with Oracle EBS certification and compatibility requirements. • Monitor application, database, and server health, availability, capacity, and performance; troubleshoot application errors, failed concurrent requests, workflow issues, and connectivity problems. • Analyze and tune SQL, execution plans, database wait events, memory usage, and I/O performance. • Manage database storage, tablespaces, datafiles, temporary space, undo, and archive logs. • Configure, monitor, and validate RMAN backups; perform restoration and recovery testing. • Perform database and application cloning, environment refreshes, and approved data transfers using tools such as Rapid Clone, RMAN, and Data Pump. • Maintain database statistics and scheduled maintenance tasks using EBS-supported procedures. • Manage database users, roles, privileges, service accounts, and auditing in accordance with security policies and EBS requirements. • Support EBS users, responsibilities, profile options, and access controls in coordination with application owners and security teams. • Administer Linux/Unix servers supporting Oracle EBS and Oracle Database, including services, permissions, storage, and scheduled jobs. • Develop shell scripts to automate monitoring, maintenance, reporting, and routine administration. • Coordinate operating system patching and configuration changes; maintain certificates and support enterprise authentication and single sign-on integrations. • Support Oracle Data Guard, RAC, and ASM where deployed, including replication monitoring and availability testing. 1 Oracle EBS/DB Administrator | Memphis, TN | Contract • Coordinate application and database recovery to meet established recovery time and recovery point objectives. • Support deployments and follow incident, problem, and change management procedures, including validation and rollback planning. • Work with Oracle Support to investigate issues, manage service requests, and implement approved fixes. • Maintain operational runbooks, configuration records, recovery procedures, and capacity plans. • Participate in scheduled maintenance and an on-call rotation as required.</p>
<p><strong>Data Scientist/Senior Analyst, Search Measurement & Analytics (Contract)</strong></p><p><strong>6 Month Contract </strong>(Potential for Extension or Conversion) </p><p><strong>Location: </strong>Richmond, VA (Remote Potential, Contract only) </p><p><strong>About the Opportunity</strong></p><p>We are seeking a highly analytical professional to join a Marketing Analytics team focused on measuring and optimizing the effectiveness of a large-scale paid search program. This role sits at the intersection of <strong>marketing analytics, business analytics, strategy, and data science</strong>, helping stakeholders answer complex business questions and make data-driven investment decisions.</p><p>This position is ideal for someone who enjoys translating data into actionable recommendations, designing experiments, evaluating marketing effectiveness, and influencing business strategy through analytical insights.</p><p><strong>What You'll Do</strong></p><ul><li>Design and execute incrementality tests, holdout experiments, and pre/post analyses to measure marketing effectiveness.</li><li>Apply statistical methodologies to determine whether observed results are causal or simply correlated.</li><li>Translate ambiguous business questions into structured analyses and actionable recommendations.</li><li>Support budget planning and investment decisions through marketing performance measurement and ROI analysis.</li><li>Build and maintain trusted datasets, reporting frameworks, and analytical models.</li><li>Evaluate campaign performance and identify opportunities for optimization and growth.</li><li>Contribute to channel strategy discussions through data-backed recommendations.</li><li>Validate findings, challenge assumptions, and communicate insights to both technical and non-technical stakeholders.</li><li>Collaborate closely with marketing, analytics, and business teams to influence decision-making.</li></ul><p><br></p>
We are looking for a Data Scientist to support advanced data initiatives in Dover, Delaware. This Long-term Contract position focuses on building scalable data solutions, uncovering actionable insights, and helping stakeholders make informed decisions through reliable analysis. The ideal candidate brings strong technical depth across modern data platforms and is comfortable working with large, complex datasets in a collaborative environment.<br><br>Responsibilities:<br>• Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use.<br>• Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy.<br>• Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations.<br>• Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads.<br>• Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability.<br>• Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes.<br>• Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms.<br>• Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
<p>For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.</p>
<p>We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication.</p><p><br></p><p>Responsibilities:</p><p>• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.</p><p>• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.</p><p>• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.</p><p>• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.</p><p>• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.</p><p>• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.</p><p>• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.</p><p>• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.</p>
<p><strong>Data Analyst</strong></p><p>Location: Miami, FL</p><p><strong>About the Role</strong></p><p>Our client is looking for a Data Analyst to turn raw data into clear, actionable insights that guide business decisions. You will work closely with stakeholders across the organization to build reports, uncover trends, and improve how data is collected and used. This is a great fit for someone who enjoys solving problems, asking good questions, and telling a story with numbers.</p><p><strong>What You’ll Do</strong></p><ul><li>Gather, clean, and validate data from multiple sources to ensure accuracy and consistency</li><li>Write SQL queries to extract and analyze data from relational databases</li><li>Build and maintain dashboards and reports in Power BI, Tableau, or similar tools</li><li>Identify trends, patterns, and opportunities, and present findings to technical and non technical audiences</li><li>Partner with business teams to define KPIs and translate questions into analysis</li><li>Automate recurring reports and streamline data workflows</li><li>Support ad hoc requests and deeper dive projects as business needs evolve</li><li>Document data sources, definitions, and processes</li></ul><p><br></p>
<p>Robert Half is working with a client seeking a Data Analyst.</p><p><br></p><ul><li>Assist in developing, maintaining, and updating dashboards and recurring daily, weekly, and monthly reports.</li><li>Analyze operational, financial, sales, and customer data to identify trends and discrepancies.</li><li>Perform data validation, reconciliation, and quality checks; investigate missing, duplicate, or inconsistent records and escalate findings.</li><li>Write and modify basic to intermediate SQL queries to retrieve and summarize data.</li><li>Support Power BI report development, enhancements, testing, and validation.</li><li>Work with structured datasets and gain exposure to data warehouses and ETL/ELT processes.</li><li>Collaborate with business stakeholders to clarify reporting needs and communicate findings.</li><li>Maintain documentation of reports, business definitions, validation steps, and procedures.</li></ul><p><br></p>
We are seeking a detail-oriented Data Analyst to support material and vendor master data management for a well-established organization. This position is responsible for maintaining accurate data within SAP, processing material and vendor updates, supporting data governance initiatives, and ensuring data integrity across business operations. The ideal candidate brings experience in SAP, master data management, data validation, and process improvement, along with strong analytical and organizational skills. Key Responsibilities Create, update, and maintain material and vendor master records within SAP. Ensure accuracy, completeness, and consistency of master data across systems. Process vendor setup requests, changes, and updates while verifying required documentation and approvals. Maintain material records throughout the product lifecycle, including status changes and updates. Support data governance policies, procedures, and quality standards. Research and resolve data discrepancies, errors, and system-related issues. Collaborate with cross-functional teams to address data requests and operational needs. Support data synchronization and publication processes, including GDSN, 1WorldSync, and GS1 standards. Monitor shared mailboxes, manage incoming requests, and meet established service-level agreements (SLAs). Assist with data cleanup, reporting, and process improvement initiative
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy.<br><br>Responsibilities:<br>• Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions.<br>• Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities.<br>• Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information.<br>• Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting.<br>• Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation.<br>• Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly.<br>• Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements.<br>• Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes.<br><br>Responsibilities:<br>• Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts.<br>• Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy.<br>• Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders.<br>• Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability.<br>• Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity.<br>• Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting.<br>• Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
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.
We are looking for a Data Analyst to support data-driven decision-making for a growing organization in Avon, Ohio. This role is ideal for someone who combines strong analytical thinking with hands-on experience in reporting, pricing data, and process improvement. You will work across business systems and datasets to build reliable insights, streamline recurring work, and deliver clear outputs that help teams operate more effectively.<br><br>Responsibilities:<br>• Develop and maintain reports, dashboards, and analytical outputs that turn business data into actionable insights for stakeholders.<br>• Manage pricing-related information and core master data, helping ensure accuracy, consistency, and usability across operational processes.<br>• Build and enhance automated reporting solutions that connect with back-office platforms and reduce dependence on manual data preparation.<br>• Review existing workflows to identify inefficiencies, then apply Excel, AI-enabled tools, or system integrations to improve speed and reliability.<br>• Partner with cross-functional teams to gather reporting needs, clarify business questions, and translate requirements into practical analytics solutions.<br>• Monitor data quality across source systems and resolve inconsistencies that could affect reporting, forecasting, or operational decision-making.<br>• Create presentations and summary materials that clearly communicate findings, trends, and recommendations to business audiences.<br>• Iterate quickly on deliverables by incorporating feedback, refining outputs, and continuously improving the usefulness of analytical work.
<p>We are seeking a Data Analyst to support the design, development, implementation, and maintenance of software applications and data management solutions. This role requires close collaboration with cross-functional teams to deliver scalable technology solutions that meet business and operational needs.</p><p>Responsibilities</p><ul><li>Gather, analyze, and document business and technical requirements.</li><li>Translate requirements into functional specifications, technical designs, and implementation plans.</li><li>Research, evaluate, and recommend technologies, platforms, tools, and development approaches.</li><li>Design, develop, test, and deploy software applications, integrations, and database solutions.</li><li>Collaborate with project teams to define priorities, estimate effort, and support project delivery.</li><li>Assist with identifying, tracking, and resolving project risks, issues, and dependencies.</li><li>Work with stakeholders to provide status updates, gather feedback, and ensure alignment with project objectives.</li><li>Develop and maintain technical documentation, including system designs, processes, configurations, and support materials.</li><li>Troubleshoot, maintain, and enhance existing applications and systems.</li><li>Support cloud-based and enterprise technology environments as needed.</li><li>Participate in quality assurance, testing, and continuous improvement activities.</li><li>Perform other related duties and responsibilities as assigned.</li></ul><p>Qualifications</p><ul><li>Experience in software development, application support, or systems implementation.</li><li>Knowledge of software development methodologies and best practices.</li><li>Experience with databases, application design, and system integration concepts.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Ability to manage multiple priorities and work effectively in a team environment.</li><li>Strong written and verbal communication skills.</li><li>Ability to learn new technologies and adapt to changing business needs.</li></ul><p><br></p>
<p>Robert Half is seeking an<strong> IFS Enterprise Asset Management (EAM) Solution Architect</strong> to support a strategic asset management transformation initiative for a large asset-intensive client. This consultant will serve as a trusted advisor responsible for evaluating the client's current-state IFS EAM environment and designing a scalable future-state framework that improves asset reliability, maintenance effectiveness, governance, reporting, and operational decision-making. Apply today! </p><p><br></p><p><strong>Duration:</strong> 3 months contract with potential to extend, depending on performance </p><p><strong>Location:</strong> 100% Remote, occasional travel to Seattle</p><p><strong>Schedule:</strong> Open to candidates who’d be interested in Part Time or Full Time work</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Assess current-state IFS EAM configuration, business processes, data structures, and governance practices.</li><li>Lead discovery sessions and workshops with maintenance, operations, supply chain, engineering, IT, and business stakeholders.</li><li>Design scalable asset hierarchy models, equipment structures, and master data governance frameworks.</li><li>Evaluate and optimize maintenance planning, preventive maintenance, work order management, scheduling, and execution processes.</li><li>Develop recommendations for warehouse operations, spare parts management, BOM governance, and inventory controls.</li><li>Establish reliability and performance measurement frameworks, including KPIs, reporting models, and asset lifecycle metrics.</li><li>Identify opportunities to leverage standard IFS capabilities while reducing reliance on custom processes and workarounds.</li><li>Create future-state operating models, implementation roadmaps, and prioritized improvement initiatives.</li><li>Support organizational readiness, training, knowledge transfer, and adoption activities.</li><li>Provide strategic guidance throughout assessment, design, and optimization phases of the engagement.</li></ul>
We are looking for a detail-focused Data Analyst to join a long-term contract opportunity based in Salt Lake City, Utah. This role supports finance and business data operations by improving the quality, accuracy, and completeness of critical customer and vendor information. The ideal candidate brings hands-on experience with financial records, strong Excel skills, and the ability to work across teams to keep large data sets organized, validated, and ready for business use.<br><br>Responsibilities:<br>• Review, validate, and refine customer, vendor, and finance-related records to maintain accurate and reliable master data.<br>• Analyze large data sets in Excel to identify discrepancies, compare source information, and resolve data quality issues.<br>• Partner with finance, procurement, and other business teams to gather missing details and clarify record inconsistencies.<br>• Prepare structured data files and supporting documentation for system-related projects, testing activities, and ongoing governance needs.<br>• Maintain clear audit trails by documenting updates, decisions, and data handling steps throughout the project lifecycle.<br>• Support high-volume record management while meeting established timelines in a fast-paced project environment.<br>• Monitor data compliance standards and help ensure records align with internal controls and documentation requirements.<br>• Assist with project activities related to data conversion and validation as part of broader business transformation efforts.
We are looking for a Data Analyst to support fraud-focused data initiatives in Pittsburgh, Pennsylvania. This Long-term Contract position is ideal for someone who can turn complex information into clear insights that help identify suspicious activity and strengthen anti-fraud efforts. The role combines analytical problem-solving with investigative support, requiring close attention to patterns, anomalies, and data quality.<br><br>Responsibilities:<br>• Analyze large datasets to detect unusual trends, irregular transactions, and indicators of potentially fraudulent activity.<br>• Develop reports and dashboards that translate fraud-related data into actionable findings for business and risk stakeholders.<br>• Partner with investigation and compliance teams to support case reviews with accurate data analysis and documented insights.<br>• Examine data sources for consistency and reliability to ensure fraud monitoring outputs are based on high-quality information.<br>• Identify emerging patterns and recommend adjustments to analytical approaches that improve fraud detection effectiveness.<br>• Perform ad hoc analysis to answer urgent business questions related to anti-fraud controls, losses, and suspicious behavior.<br>• Maintain clear records of analytical methods, assumptions, and findings to support auditability and ongoing investigations.
<p>We are looking for a Data Analyst to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. <strong><em>Local candidates to the Greater Milwaukee area are encouraged to apply. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Applicants must have experience building data pipelines. </p><p>• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.</p><p>• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.</p><p>• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.</p><p>• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.</p><p>• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.</p><p>• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.</p><p>• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.</p>
<p>Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business.<br><br>Responsibilities:<br>• Create analytical models and decision-support templates to assess new business and converted opportunities.<br>• Evaluate deal economics by examining margins, pricing structures, and overall commercial viability.<br>• Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points.<br>• Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability.<br>• Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes.<br>• Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
We are looking for an experienced Systems Administrator to support core infrastructure and end-user technology in Laconia, New Hampshire. This role oversees server environments, desktop systems, connected devices, and helpdesk support while helping the business translate operational needs into practical technical solutions. The ideal candidate brings strong troubleshooting ability, sound judgment, and a hands-on background managing both Windows and Linux-based environments.<br><br>Responsibilities:<br>• Partner with business teams to gather requirements, define technical scope, and outline workflows for infrastructure-related projects and system improvements.<br>• Plan and carry out testing for operating system, hardware, and software changes, documenting results to promote stable production releases.<br>• Execute system installations, updates, migrations, and production deployments across server and end-user computing environments.<br>• Create and maintain accurate technical documentation, including network diagrams, process flows, operating procedures, recovery steps, and user guidance materials.<br>• Investigate and resolve issues involving applications, hardware, servers, and network communications to minimize disruption to business operations.<br>• Provide instruction to end users on procedures and best practices needed to effectively operate assigned technology and equipment.<br>• Build, configure, upgrade, and repair personal computers and related systems to meet organizational standards and user needs.<br>• Contribute technical expertise to special projects and keep leadership informed through regular status updates and progress reporting.<br>• Participate in a rotating on-call schedule to support systems during and outside standard business hours as needed.