<p>Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization.</p><p><br></p><p>The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable.</p><p><br></p><p><strong>This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri).</strong></p><p><br></p><p>Key Responsibilities</p><ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul><p><br></p>
We are looking for a Data Analyst to join a machinery manufacturing organization in San Antonio, Texas, and turn complex business data into practical insights that support company-wide decision-making. This role will focus on building reliable business intelligence solutions, strengthening data governance standards, and partnering with teams across the business to improve reporting capabilities. The ideal candidate brings strong technical depth in modern Microsoft data platforms, a thoughtful approach to data quality, and the ability to translate operational needs into scalable analytics solutions.<br><br>Responsibilities:<br>• Partner with business intelligence colleagues to shape and deliver analytics initiatives that support organizational objectives.<br>• Build, enhance, and optimize Power BI semantic models, dashboards, and reporting assets for accuracy, usability, and performance.<br>• Establish and reinforce standards for data governance, access control, compliance, and stewardship across reporting environments.<br>• Advance DevOps and CI/CD methods to improve the consistency and efficiency of Power BI development and deployment processes.<br>• Maintain strong data quality practices by tracking lineage, improving documentation, and validating key data assets.<br>• Contribute to data integration and transformation efforts involving both established platforms and newer cloud-based environments.<br>• Meet with stakeholders across departments to gather reporting needs and convert them into scalable business intelligence solutions.<br>• Offer technical guidance to teammates and collaborate across functions to support enterprise reporting goals.<br>• Assist with planning activities tied to business intelligence and broader data strategy initiatives.<br>• Provide after-hours assistance when needed and support additional priority projects as assigned.
We are looking for a Data Analyst to support ongoing reporting, data coordination, and operational analysis for a service-focused organization in Minneapolis, Minnesota. This Long-term Contract position is ideal for someone who enjoys managing recurring data tasks, maintaining accurate records, and delivering timely insights to business leaders. The role combines daily reporting support with periodic analytical assignments that require strong attention to detail, organization, and comfort working with Excel and Salesforce.<br><br>Responsibilities:<br>• Gather information from multiple sources, organize it into usable formats, and distribute updates to leadership and key stakeholders on a regular basis.<br>• Maintain and refresh routine data outputs tied to business activity, including areas such as opportunities, customer accounts, and credit-related records.<br>• Perform recurring operational tasks that keep reporting processes accurate, current, and on schedule each day.<br>• Complete monthly and quarterly analysis using spreadsheets, including reconciling figures and validating that data aligns across reports.<br>• Support quota-related tracking by working within established templates and applying a practical understanding of capacity and performance metrics.<br>• Update and manage administrative records in Salesforce to help ensure data quality and reliable reporting.<br>• Prepare and maintain standard reports that help teams monitor activity, identify issues, and support business decisions.<br>• Review datasets for inconsistencies, investigate discrepancies, and follow through to keep information dependable and actionable.
<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 healthcare organization in Morristown, New Jersey. This Long-term Contract position will focus on shaping scalable data structures that support analytics, reporting, and enterprise data initiatives. The role works closely with technical and business teams to turn complex information needs into well-organized, high-performing data solutions. This opportunity is ideal for someone who is detail oriented, brings strong data modeling expertise, and can contribute in a regulated environment.<br><br>Responsibilities:<br>• Create and refine conceptual, logical, and physical data models across relational, dimensional, and non-relational platforms.<br>• Produce and maintain entity relationship diagrams, data flow artifacts, and supporting documentation that align with organizational standards.<br>• Work alongside engineers, architects, and analysts to ensure data designs enable reliable ingestion, transformation, and reporting processes.<br>• Convert business needs into efficient database structures that support performance, scalability, and long-term usability.<br>• Review model designs for consistency and quality while promoting sound modeling practices across the team.<br>• Maintain metadata, business definitions, lineage details, and data dictionaries to improve transparency and governance.<br>• Support warehouse and mart design by developing schemas suited for analytics and downstream reporting needs.<br>• Investigate and address issues related to data integrity, duplication, and quality through thoughtful structural design.<br>• Contribute to governance and cataloging efforts that improve standardization and enterprise data management.<br>• Deliver modeling outputs within an Agile framework, partnering with teams through iterative sprint cycles.
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting.<br><br>Responsibilities:<br>• Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement.<br>• Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms.<br>• Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions.<br>• Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks.<br>• Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting.<br>• Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions.<br>• Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies.<br>• Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards.<br>• Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
<p>On behalf of our client, a healthcare organization in the Memphis area, Robert Half is seeking an <strong>HRIS Analyst with strong Paycom experience</strong> to help stabilize, support, and optimize its HR and payroll systems following a recent Paycom implementation.</p><p>The organization is <strong>approaching one year post‑go‑live</strong> and continues to experience <strong>significant system and data challenges</strong> impacting HR operations, payroll processing, and internal stakeholders. Support is currently shared across multiple teams, and this role will serve as a <strong>central HRIS and data owner</strong> for Paycom.</p><p>This position is focused on <strong>data integrity, system functionality, and cross‑functional coordination</strong>, rather than general IT support.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Act as the <strong>primary HRIS resource</strong> for Paycom</li><li>Troubleshoot and resolve Paycom issues related to:</li><li>Employee data</li><li>Payroll processing</li><li>HR workflows, configurations, and reporting</li><li>Ensure <strong>accuracy, consistency, and integrity</strong> of HR and payroll data</li><li>Partner with <strong>HR, Payroll, and IT</strong> teams to identify root causes and drive solutions</li><li>Support system configuration changes, testing, and validation</li><li>Assist with security roles, permissions, and access management within Paycom</li><li>Create and maintain HRIS documentation, workflows, and process guides</li><li>Coordinate with Paycom vendor support as needed and help drive issues to resolution</li><li>Identify recurring issues and recommend <strong>process and data‑driven improvements</strong></li></ul><p><br></p>
We are looking for a meticulous Data Analyst to support a Long-term Contract assignment based in Old Hickory, Tennessee. In this role, you will help improve the quality, accuracy, and usability of finance-related data while contributing to a collaborative, remote project environment. This opportunity is well suited for someone who enjoys working with complex datasets, solving data integrity issues, and partnering with business and technical teams to deliver reliable reporting outcomes.<br><br>Responsibilities:<br>• Review and refine large volumes of financial and operational data to improve consistency, completeness, and overall accuracy.<br>• Contribute to data conversion efforts involving the movement of information from Oracle Hyperion into Tagetik, ensuring records are prepared and validated for use.<br>• Examine datasets to uncover duplicate entries, missing values, mismatches, and other integrity concerns, then help resolve identified issues.<br>• Support annual data rollforward activities by carrying historical information forward and confirming that records remain aligned across reporting periods.<br>• Use advanced Excel functions to reconcile files, organize data, verify results, and prepare clear outputs for analysis and reporting.<br>• Partner with finance, accounting, and technical contributors to clarify data needs, address exceptions, and maintain progress throughout the project lifecycle.<br>• Assist with data mapping, test preparation, reconciliation reviews, and validation steps tied to migration-related workstreams.<br>• Produce and update project documentation covering data standards, validation results, issue tracking, and reporting expectations.<br>• Share key observations, potential risks, and recommended actions with stakeholders to support informed project decisions.
We are looking for a Data Analyst to support a nonprofit organization in Battle Creek, Michigan by turning raw information into clear, meaningful insights. This role focuses on producing accurate reports and visual summaries that help teams understand demographic trends, measure outcomes, and make informed decisions. The ideal candidate will be skilled at spotting inconsistencies, improving data quality, and helping strengthen confidence in how data is used across the organization.<br><br>Responsibilities:<br>• Analyze organizational data to develop reports, dashboards, and visual presentations that highlight demographic patterns and program results.<br>• Review datasets for irregularities, missing information, or trends that may signal reporting concerns or potential fraud-related issues.<br>• Monitor how data tools and processes are being used across teams and follow up on gaps to support stronger adoption and issue resolution.<br>• Gather information from multiple sources, organize it into usable formats, and prepare it for analysis and reporting.<br>• Clean, validate, and reconcile data to improve accuracy, consistency, and reliability in reporting outputs.<br>• Create charts, graphs, and summary materials that translate complex findings into accessible information for stakeholders.<br>• Investigate data discrepancies and recommend practical corrections to reduce errors and strengthen reporting integrity.<br>• Maintain documentation of data definitions, reporting methods, and quality checks to support consistent analysis practices.
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.
<p>We are looking for a detail-oriented Data Analyst to support data management and quality efforts in San Antonio, Texas. This is a 2-3 month Contract position focused on maintaining accurate records, refining spreadsheet-based information, and preparing data for reliable use across business needs. The ideal candidate is comfortable working independently, handling repetitive tasks with precision, and using Excel to identify issues and improve dataset quality.</p><p><br></p><p>Responsibilities:</p><p>• Transform raw Excel files into organized, reliable datasets by standardizing content and improving overall usability</p><p>• Examine data for inconsistencies, duplicate entries, formatting problems, and incomplete records, then resolve identified issues</p><p>• Input new information and maintain existing records within the local database system while ensuring a high degree of accuracy</p><p>• Perform routine checks to confirm data quality, validate entries, and help preserve the integrity of stored information</p><p>• Prepare data for reporting needs and provide basic analytical support for assigned projects</p><p>• Apply Excel tools such as sorting, filtering, formulas, and pivot tables to clean and structure large volumes of information</p>
<p>Robert Half is seeking a results-driven Data Analyst for a dynamic organization in St. Louis, Missouri. If you have a passion for uncovering actionable insights, proficiency with advanced analytics tools, and enjoy collaborating to support business strategy, we want to hear from you. This opportunity offers the chance to join a team shaping the future of data-driven decision making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>· Collect, analyze, and interpret complex data sets utilizing advanced statistical methods and data visualization tools.</p><p>· Generate business insights and present clear, actionable recommendations to stakeholders.</p><p>· Develop and maintain dashboards and reports using tools such as Power BI, SQL, Excel, and others.</p><p>· Collaborate cross-functionally with IT, Finance, Operations, and other business units to solve critical business challenges.</p><p>· Identify trends, patterns, and opportunities for process improvements and new initiatives.</p>
<p>We are seeking a detail-oriented Data Analyst with at least 1 year of experience to support data-driven decision-making. This role is ideal for someone who enjoys working with data, identifying trends, and collaborating with business stakeholders to deliver actionable insights.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze, interpret, and validate data to identify trends, patterns, and key insights</li><li>Write and execute SQL queries to extract, manipulate, and analyze data from relational databases</li><li>Clean, transform, and organize large datasets to ensure data accuracy and integrity</li><li>Develop reports, dashboards, and visualizations to support business needs</li><li>Translate business requirements into clear, data-driven solutions</li><li>Collaborate with cross-functional teams to understand data needs and deliver actionable insights</li></ul><p><br></p>
<p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Glendale, California. The ideal candidate will play a pivotal role in analyzing data to identify trends, detect fraudulent activity, and support decision-making processes. This position offers an excellent opportunity to work on meaningful projects while leveraging your expertise in fraud analytics and data investigation.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.</p><p>• Develop and implement fraud detection models and algorithms to enhance risk management.</p><p>• Investigate suspicious transactions and activities to identify potential fraud cases.</p><p>• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.</p><p>• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.</p><p>• Monitor and refine anti-fraud systems based on emerging threats and trends.</p><p>• Conduct research to stay informed about new fraud schemes and data analysis techniques.</p><p>• Ensure data integrity and accuracy while working with sensitive information.</p><p>• Provide actionable insights that help drive business decisions and improve operational efficiency.</p>
<p>Job Summary</p><p>A large, well‑known technology organization is seeking a <strong>Data Analyst I</strong> to support an engineering and operations team focused on hardware systems and large‑scale deployment programs. This role supports data analysis, reporting, and cross‑functional decision‑making in a fast‑paced environment.</p><p>Key Responsibilities</p><ul><li>Analyze operational, engineering, and process data to support program execution and decision‑making</li><li>Build and maintain reports, dashboards, and data summaries for stakeholders</li><li>Partner with engineering, supply chain, and operations teams to validate data accuracy</li><li>Support tracking of metrics, trends, and performance indicators</li><li>Assist with documentation, data audits, and ad‑hoc analysis requests</li><li>Ensure data consistency across systems and reporting tools</li></ul><p><br></p>
<p>We are looking for an AI Data Analyst to join our team in Greater Milwaukee. In this role, you will turn business challenges into practical data, automation, and AI solutions that improve daily operations and support stronger decision-making. You will work closely with internal stakeholders to evaluate processes, uncover meaningful insights, and deliver scalable tools that align technology with organizational goals. <strong>This role requires the candidate to be onsite, with a hybrid schedule.</strong></p><p><br></p><p>Responsibilities:</p><p>• Create and launch AI-enabled processes, tools, and agents that streamline operational activities and improve team productivity.</p><p>• Develop and support connections between internal applications and third-party platforms using APIs, data flows, and related integration methods.</p><p>• Evaluate business and operational data to surface patterns, identify gaps, and recommend opportunities for process improvement.</p><p>• Produce dashboards, reporting assets, and analytical tools that help teams monitor performance and make informed decisions.</p><p>• Partner with stakeholders across the organization to gather requirements, define success measures, and convert business needs into technical solutions.</p><p>• Test, refine, and deploy solutions in real-world environments, making ongoing enhancements based on user feedback and results.</p><p>• Investigate and resolve issues involving systems, workflows, and integrations to maintain reliable performance.</p><p>• Promote sound practices for data quality, governance, security, and long-term scalability across tools and workflows.</p><p>• Build a strong understanding of company operations, systems, and industry-specific processes to ensure solutions are accurate and relevant.</p>
We are looking for a Data Analytics Consultant to lead the design and delivery of modern data engineering and business intelligence solutions for client engagements in Pennsylvania. This Long-term Contract position is ideal for a client-facing consultant who can combine technical architecture expertise with strong communication and consulting skills to guide data strategy, platform design, and analytics adoption. The role will partner with stakeholders across business and technical teams to create scalable data environments, translate complex requirements into practical solutions, and support the continued advancement of enterprise analytics capabilities.<br><br>Responsibilities:<br>• Act as a trusted advisor to clients by evaluating technical options and recommending data and analytics solutions aligned with business goals.<br>• Architect, build, and launch scalable data platforms across cloud and on-premises environments using modern engineering and business intelligence technologies.<br>• Lead discovery meetings, stakeholder workshops, and solution presentations to uncover needs and define effective analytics strategies.<br>• Establish frameworks for data ingestion, transformation, storage, governance, and reporting to support reliable decision-making.<br>• Develop implementation roadmaps and delivery plans for data initiatives, ensuring technical solutions support long-term business priorities.<br>• Assess current data ecosystems, identify improvement opportunities, and produce clear architectural documentation and technical recommendations.<br>• Engage with audiences ranging from executive leadership to delivery teams to explain solution choices, tradeoffs, and expected business impact.<br>• Contribute across multiple phases of delivery, including consulting, architecture, hands-on development, and pre-sales support when needed.<br>• Provide deep technical expertise in analytics, data integration, visualization, and modern lakehouse or warehouse design, including security considerations such as row-level access.<br>• Use tools such as Microsoft Fabric, Azure, Python, Spark, Hadoop, Kafka, SQL, and ETL frameworks to build high-quality analytics and data processing solutions.
We are looking for a Data Analytics Consultant to help organizations shape and deliver modern data solutions that turn complex information into actionable business insight. This role partners with stakeholders across technical and executive teams to define data strategies, recommend scalable platforms, and guide implementation across cloud-based environments. Based in Wyomissing, Pennsylvania, the position combines advisory expertise with hands-on architecture and analytics leadership to support impactful client outcomes.<br><br>Responsibilities:<br>• Partner with clients as a technical advisor, helping them evaluate options and make informed decisions on analytics and data platform solutions.<br>• Architect and deliver data environments across public and private cloud ecosystems, ensuring solutions are scalable, secure, and aligned with business goals.<br>• Lead discussions on data governance, quality standards, architecture direction, and long-term analytics strategy for client organizations.<br>• Facilitate discovery meetings, workshops, and executive presentations to gather requirements and translate business needs into practical technical plans.<br>• Explain emerging data technologies and analytics capabilities in a way that highlights measurable value for both business and technical audiences.<br>• Establish effective approaches for collecting, storing, transforming, and analyzing data to support reporting, operational insight, and decision-making.<br>• Create implementation roadmaps and phased delivery plans for analytics initiatives, including assessments of current-state environments and future-state architecture.<br>• Review existing data solutions, identify improvement opportunities, and produce clear documentation that supports design decisions and project execution.<br>• Collaborate with stakeholders ranging from senior executives to engineering teams while contributing across multiple phases of the project lifecycle, including pre-sales support.<br>• Apply analytics expertise to use cases involving risk monitoring, fraud-related analysis, and investigative data interpretation where business needs require it.
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.
<p>We are looking for an experienced <strong><u>Epicor Kinetic Consultant</u></strong> to support manufacturing scheduling and operational reporting initiatives. This Long-term Contract position is ideal for someone with hands-on expertise in <strong><u>Epicor Kinetic</u></strong> within a job shop environment and a strong understanding of how scheduling data drives production performance. The role will focus on improving scheduling structure, building meaningful dashboards, and delivering insights that help teams manage capacity, materials, and priorities effectively.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><p>• Lead the setup and optimization of <strong><u>Epicor Kinetic</u></strong> scheduling practices for a manufacturing job shop environment.</p><p>• Evaluate how jobs are structured to improve scheduling accuracy, production flow, and operational efficiency.</p><p>• Configure and assess key scheduling inputs such as resources, material availability, subcontract timing, staffing levels, and working calendars.</p><p>• Analyze critical path, margin impact, and supply-versus-demand factors to help establish practical production priorities.</p><p>• Partner with stakeholders on-site over an extended period to support scheduling adoption, process alignment, and ongoing performance improvements.</p><p>• Design custom dashboards and reporting tools in Kinetic to provide clear visibility into production status, constraints, and business metrics.</p><p>• Perform data analysis to identify scheduling bottlenecks, inventory impacts, and lead-time risks across manufacturing operations.</p><p>• Support database update activities and data migration tasks using designated tools when required.</p>
We are seeking a highly analytical, hands-on Data Analyst to support a business operating in a highly customized, non-standard environment. Every order, workflow, and dataset is unique creating complexity across quoting, production, shipping, and billing.<br><br>This role is not just about analyzing data, you will play a critical role in identifying where revenue is leaking, quantifying the impact, and helping fix the underlying process issues driving it. This is a 6-9 month project opportunity with the potential to extend. This project required 4 days on site. <br><br>What You’ll Be Solving<br><br>Revenue leakage caused by disconnects across quoting, production, shipping, and invoicing<br>Inaccuracies in freight billing and internal invoicing<br>Misalignment between front-end quoting systems and ERP execution.<br>Heavy reliance on manual Excel workarounds instead of scalable processes<br>Missed billing opportunities, including inflation adjustments and unbilled work<br>High variability in order structures, making data matching and reconciliation challenging<br><br><br>Key Responsibilities<br><br>Extract, integrate, and analyze data across operational systems.<br>Build and optimize SQL-based data models to align quoting, production, and billing data<br>Perform data matching and reconciliation<br>Identify and quantify revenue slippage across the Order-to-Cash (OTC) lifecycle<br>Analyze operational and sales data to uncover missed revenue opportunities<br>Develop advanced analytics using Excel and Python to validate findings<br>Partner with stakeholders across Finance, Operations, and IT to translate insights into action<br>Support improvements in data governance, reporting standards, and BI frameworks<br>Contribute to scalable, long-term solutions that eliminate manual workarounds<br><br>Required Experience<br><br>7–15+ years of experience in data analytics, business analysis, or related roles<br>Advanced SQL expertise (required)<br>Strong proficiency in Excel and Python for data analysis and automation<br>Experience working with ERP systems and quoting/order management platforms<br>Proven ability to work with messy, inconsistent datasets and derive actionable insights<br>Experience identifying and quantifying financial or operational leakage<br>Understanding of Order-to-Cash (OTC) processes and downstream impacts<br>Strong problem-solving mindset with the ability to work independently and drive analysis<br><br><br>Preferred (Nice to Have)<br><br>Exposure to AI-driven analytics or automation<br>Experience in manufacturing, custom production, or highly variable environments<br>Background improving data governance, reporting structures, or BI frameworks<br>Strong collaboration skills and willingness to ask questions and challenge assumptions<br><br>If you are interested in learning more about this opportunity, please reach out to Robert Half. <br><br>Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
We are looking for a Business Intelligence and Data Analyst to join a collaborative analytics team supporting enterprise performance initiatives in Boston, Massachusetts. In this role, you will work closely with data engineering and business stakeholders to turn complex operational information into clear, actionable reporting. This position is ideal for an early-career analyst who enjoys building dashboards, improving reporting accuracy, and helping leaders make informed decisions through data.<br><br>Responsibilities:<br>• Create and refine Power BI dashboards and recurring reports that give teams clear visibility into performance trends and operational results.<br>• Analyze large and varied datasets to uncover meaningful patterns, explain performance drivers, and support business decision-making.<br>• Partner with data engineers and cross-functional teams to gather reporting needs, validate data sources, and improve the reliability of analytics outputs.<br>• Maintain, update, and enhance existing business intelligence solutions to ensure reporting remains accurate, relevant, and easy to use.<br>• Deliver both scheduled reporting and ad hoc analysis to help leadership monitor priorities and respond to emerging business questions.<br>• Develop and track key performance indicators that measure outcomes across departments and highlight opportunities for improvement.<br>• Present findings in a concise, business-friendly way so that both technical and non-technical stakeholders can act on the insights provided.<br>• Support broader analytics adoption by helping users understand reporting tools, metrics, and dashboard functionality.<br>• Contribute to technical assessments and problem-solving efforts related to reporting processes, data quality, and dashboard performance.
<p>Robert Half Management Resources is looking for a Revenue & Accounting Data Analyst to support one of our healthcare clients through detailed financial analysis, revenue reporting, and data-driven insight generation. This interim position is ideal for someone who can connect accounting fundamentals with healthcare revenue performance and reporting accuracy. The role focuses on turning complex financial and billing data into clear findings that help strengthen decision-making, improve visibility into trends, and support operational efficiency.</p><p><br></p><p><u>Responsibilities:</u></p><p>• Examine financial and revenue data to identify inconsistencies, validate reporting accuracy, and support timely reconciliations across accounting activities.</p><p>• Analyze healthcare billing and collections performance to uncover trends, variances, and opportunities to improve revenue cycle outcomes.</p><p>• Use SQL and related data tools to extract, organize, and evaluate large datasets from financial and operational systems.</p><p>• Build dashboards and reporting assets in Tableau or similar business intelligence platforms to present key revenue and accounting metrics.</p><p>• Leverage advanced Excel capabilities, including complex formulas and Power Query, to prepare, reconcile, and interpret financial information.</p><p>• Partner with finance and operational stakeholders to explain findings, answer reporting questions, and support informed business decisions.</p><p>• Streamline recurring reporting and reconciliation work through data preparation and automation tools such as Alteryx or comparable platforms.</p><p>• Support analysis tied to systems such as Microsoft Dynamics 365 when reviewing financial records, reporting outputs, or workflow-related data.</p><p>• Apply GAAP-based accounting knowledge and healthcare revenue cycle understanding to maintain reliable analysis and reporting standards.</p>
<p><em>The salary range for this position is $100,000 - $115,000 plus bonus, and it comes with benefits, including medical, vision, dental, life, and disability insurance. To apply to this hybrid role please send your resume to [email protected].</em></p><p><br></p><p><br></p><p>The Portfolio Data & Analytics team is responsible for ongoing portfolio company performance monitoring and analysis, FP&A and complex financial modeling, valuing the investment positions in each of the firm’s portfolio companies, and content creation and analysis supporting investor relations. The Reporting Assurance Analyst will play a critical role in ensuring the accuracy and integrity of all external investor communications, including LP emails, press releases, and quarterly investor presentations. This process entails building out supporting documentation that is easily traceable and orderly. While the primary focus will be on compliance and documentation for investor communications, the role will also support the broader functions of the Portfolio Data & Analytics team. </p><p><br></p><p><strong>Key Responsibilities: </strong></p><p>• Help prepare various presentations and supporting analyses for the firm’s most critical investor meetings, including the annual meeting, semi-annual advisory board meetings and investor conference calls</p><p>• Ensure all external communications are accurate and compliant with regulatory standards</p><p>• Develop and maintain detailed supporting documentation and tie-out work for investor communications</p><p>• Collaborate with investment teams and senior leadership to verify data and content accuracy</p><p>• Assist the Investor Relations team with fundraising and diligence requests from LPs and prospective LPs</p><p>• Support the broader Portfolio Data & Analytics team ensure accuracy on various quarterly and ad hoc outputs</p><p><em>Other responsibilities and opportunities: </em></p><p>• Continually evaluate possible new technology solutions and propose process revisions to assist in data aggregation as the firm continues to expand portfolio investments in both number and complexity</p>
<p>We are looking for a detail-oriented Risk Analyst to join our team in North Dallas, Texas. This role is vital in ensuring compliance with insurance, bonding, and licensing requirements across various projects. The ideal candidate will excel in analyzing financial data and managing documentation to maintain regulatory standards.</p><p><br></p><p>Responsibilities:</p><p>• Ensure compliance with insurance requirements by reviewing contracts and certificates of coverage.</p><p>• Assess subcontractor insurance and compliance documentation to verify adherence to standards.</p><p>• Manage commercial insurance compliance, including general liability and casualty coverage.</p><p>• Coordinate with insurance brokers to obtain certificates, endorsements, and renewal documents.</p><p>• Assist with bond requests and evaluate contract values to ensure proper coverage.</p><p>• Oversee licensing applications, renewals, and compliance documentation for business and city requirements.</p><p>• Process certificate requests by reviewing contracts, assessing subcontractor compliance, and managing related invoices.</p><p>• Collaborate with divisions, controllers, and project teams to address compliance needs effectively.</p>