<p>Robert Half is seeking a detail-oriented <strong>Data Entry Specialist</strong> with hands-on <strong>ERP system experience</strong> to join a local team. This role is ideal for someone who is highly accurate, organized, and comfortable managing large volumes of data in a fast-paced environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Enter, update, and maintain data in internal databases and ERP systems</li><li>Review source documents for accuracy and completeness before inputting information</li><li>Verify, correct, and reconcile data discrepancies</li><li>Generate routine reports and assist with data audits</li><li>Maintain confidentiality and security of sensitive information</li><li>Collaborate with accounting, operations, procurement, and other departments to ensure data integrity</li><li>Support system clean-up, record maintenance, and administrative projects as needed</li></ul><p><br></p>
We are looking for a highly organized Data Entry Clerk to support reporting and record management efforts in Denver, Pennsylvania. This Long-term Contract opportunity is ideal for someone who works carefully with large volumes of information, enjoys using Excel, and can maintain accuracy in a busy office environment. The right candidate will help keep operational data current, accessible, and reliable for day-to-day decision-making.<br><br>Responsibilities:<br>• Build and update spreadsheets, logs, and routine reports to support daily business activities.<br>• Input, verify, and revise information in databases and files with close attention to detail and accuracy.<br>• Gather production and inventory data from multiple sources and prepare clear summaries for leadership review.<br>• Monitor data for inconsistencies, investigate variances, and flag issues that require correction.<br>• Organize and maintain electronic records so information remains easy to retrieve and properly documented.<br>• Provide administrative support on departmental tasks and contribute to special assignments as needed.
We are looking for a Medical Receptionist to support daily front-desk operations in New Jersey. This Long-term Contract position is ideal for someone who enjoys creating a welcoming experience for patients while keeping appointments, records, and administrative tasks organized. The role requires strong communication skills, attention to detail, and the ability to manage patient intake, insurance verification, and payment processing in a detail-focused healthcare setting.<br><br>Responsibilities:<br>• Welcome patients and visitors warmly, ensuring each interaction reflects courtesy and respect.<br>• Manage incoming phone calls and direct inquiries to the appropriate staff members in a timely manner.<br>• Coordinate appointment scheduling and provide patients with clear instructions regarding forms and visit preparation.<br>• Confirm demographic and insurance details, updating records accurately within the office system.<br>• Organize patient charts and documentation ahead of scheduled visits to support efficient clinical workflows.<br>• Collect copays and other payments, document transactions accurately, and assist patients with payment plan arrangements when needed.<br>• Gather required insurance and billing documentation to help facilitate timely claims processing.<br>• Communicate with patients, providers, and external contacts to obtain missing information and resolve administrative questions.<br>• Monitor front-office inventory and place orders for essential supplies to maintain daily operations.<br>• Perform additional administrative support duties as needed to assist the practice.
We are looking for a Medical Receptionist to join a welcoming healthcare office. This contract-to-permanent opportunity is ideal for someone who enjoys creating a positive patient experience while keeping front-desk operations organized and efficient. In this role, you will support appointment coordination, handle incoming inquiries, and serve as a key point of contact for patients, providers, and referral partners.<br><br>Responsibilities:<br>• Welcome patients and visitors professionally, ensuring a smooth and courteous front-desk experience.<br>• Coordinate appointments by matching patient needs with provider and staff availability.<br>• Answer phone calls, relay messages accurately, and respond to routine questions in a timely manner.<br>• Communicate with referral sources, patients, and insurance representatives to support continuity of care.<br>• Address scheduling or service concerns promptly and escalate patient complaints to the appropriate quality or leadership contacts.<br>• Work closely with practitioners and office leadership to help meet patient access and service needs.<br>• Maintain clear and organized documentation related to appointments, communications, and office activity.<br>• Provide additional administrative support as needed to keep daily operations running efficiently.
Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. <br><br><br><br>The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. <br><br><br><br>Key Responsibilities<br><br>Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. <br>Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms.<br>Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. <br>Design, develop, and support operational dashboards and reporting solutions using Power BI. <br>Assist with migration of legacy reporting processes to modern business intelligence platforms. <br>Manage datasets, semantic models, report distributions, and reporting governance processes. <br>Collaborate with business leaders to define reporting requirements and establish data standards. <br>Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. <br>Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness.<br><br><br>Qualifications<br><br>Experience within the Property & Casualty insurance industry is required<br>Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. <br>8+ years of data analytics, data operations, or business intelligence <br>Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. <br>Experience with Microsoft Fabric and Medallion Architecture methodologies.<br>Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements.<br>Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. <br>Experience with Origami and/or DXC Assure Claims is a plus.
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.