<p>Robert Half is seeking a detail-oriented Data Entry Specialist to support accurate and timely data management for a local and growing team. This role is responsible for entering, updating and maintaining information in company systems, verifying data for accuracy and supporting administrative processes. The ideal candidate is organized, dependable and able to work efficiently while maintaining a high level of accuracy.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Enter, update and maintain data in internal databases, spreadsheets and software systems. </li><li>Review source documents for accuracy and completeness before entering information. </li><li>Verify, correct and audit data to ensure consistency and accuracy.</li><li>Organize and maintain electronic and paper records as needed. </li><li>Generate routine reports and assist with data tracking. </li><li>Respond to internal requests for information and provide administrative support as needed. </li><li>Protect confidential and sensitive information in accordance with company policies. </li><li>Assist with other clerical or administrative tasks as assigned. </li></ul><p><br></p>
<p>We have teamed up with a growing client on their search for a Data Entry Clerk with solid technology skills. In this role, you will be responsible for reviewing and auditing customer data, entering and updating data within company systems and databases, processing data cleanups, preparing weekly and monthly reports, reviewing source documents, and providing administrative support as needed. The ideal Data Entry Clerk should have a flair for numbers, excellent research abilities, thorough communication skills, and an expertise in time management.</p><p><br></p><p>What you get to do daily</p><p>· System data entry</p><p>· Process operational cleanup in CRM</p><p>· Database Maintenance</p><p>· Assist with administrative activities</p><p>· Account Reconciliation </p><p>· Maintain and update customer accounts</p><p>· Resolve customer service issues</p><p>· Assist with special projects as needed</p>
We are looking for a detail-oriented Medical Charge Entry Specialist to join a healthcare revenue cycle team. This contract opportunity focuses on accurate patient intake, insurance validation, and precise charge posting to support efficient claims processing. The ideal candidate will help maintain billing integrity, reduce claim errors, and contribute to a high-quality, fast-paced administrative environment.<br><br>Responsibilities:<br>• Verify patient demographic details and insurance coverage during registration to help ensure complete and accurate account setup.<br>• Post medical charges and related coding information into billing platforms with a strong focus on timeliness and precision.<br>• Prepare claims for submission to payers and assist with follow-up corrections or resubmissions when issues are identified.<br>• Investigate claims that are pending or held, resolve discrepancies, and clear them for processing.<br>• Work closely with billing, registration, and other internal teams to keep revenue cycle activities moving efficiently.<br>• Compare charge entries against supporting records to confirm consistency and billing accuracy.<br>• Maintain thorough and well-organized patient account documentation in accordance with operational standards.<br>• Achieve established productivity and quality benchmarks while managing a high-volume workload.
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.
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
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.