<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>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></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 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 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 business analysis initiatives in Manhattan, New York. This Long-term Contract position focuses on transforming project needs into tailored data outputs, delivering clear insights that help project managers make informed decisions. The role also involves evaluating operational workflows, identifying meaningful data points, and using technical tools such as Snowflake and regular expressions to improve reporting accuracy and efficiency.</p><p><br></p><p>Responsibilities:</p><p>• Develop customized data reports based on project specifications and business needs.</p><p>• Manage the full data reporting lifecycle, from gathering requirements through final delivery of actionable outputs.</p><p>• Extract, validate, and organize key information to support project managers in planning and decision-making.</p><p>• Review business processes to identify opportunities where data analysis can improve performance and visibility.</p><p>• Create and maintain regular expression rules to structure, classify, or filter data effectively.</p><p>• Write and execute Snowflake queries to retrieve, analyze, and prepare datasets for reporting purposes.</p><p>• Ensure data results are accurate, consistent, and presented in formats aligned with stakeholder expectations.</p>