<p>This role is responsible for data aggregation, data quality, reporting, and trend analysis to evaluate program and pharmacy performance. The individual must be skilled in querying and analyzing data, while also supporting end users in interpreting and visualizing insights. Success in this role requires translating business needs into technical solutions that drive accurate and actionable reporting.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Translate business requirements into technical specifications to support data analysis and visualization</li><li>Develop a strong understanding of stakeholder objectives to create clear, impactful dashboards and reports</li><li>Write SQL queries and generate reports by extracting accurate data from multiple databases</li><li>Design and build interactive dashboards and reports using Power BI</li><li>Analyze data to identify trends, optimize processes, and deliver timely insights</li><li>Evaluate datasets for accuracy, completeness, and scope; explain anomalies or inconsistencies</li><li>Support pharmaceutical manufacturer clients with data requests, reporting, and insights</li><li>Aggregate data from multiple sources to support reporting needs</li><li>Investigate and resolve data discrepancies using SQL or statistical analysis tools</li><li>Manage daily reporting and trend analysis for multiple programs</li><li>Ensure reports meet program requirements and are delivered accurately and on time</li><li>Collaborate effectively with cross-functional teams to achieve shared objectives</li><li>Develop reporting solutions by assessing information needs, consulting with users, analyzing workflows, and following the software development lifecycle</li><li>Maintain compliance with all applicable healthcare data privacy regulations, including HIPAA</li></ul><p><strong>Performance Criteria</strong></p><p>Performance is measured by the accuracy, quality, and timeliness of reporting, as well as effective communication with internal teams and external stakeholders. Meeting performance targets across assigned programs is essential.</p>
We are looking for an experienced Senior Business Analyst- Actimize to support complex analytics and financial technology initiatives. This Long-term Contract opportunity is ideal for a detail-oriented candidate who can translate business needs into detailed documentation, partner closely with technical teams, and drive data-focused Actimize implementation efforts. The role requires strong analytical thinking, hands-on experience with reporting and visualization tools, and the ability to contribute to testing and solution validation across the project lifecycle.<br><br>Responsibilities:<br>• Gather stakeholder needs and convert business objectives into well-structured business requirement documents for Actimize-related initiatives.<br>• Work with technical and functional teams to define data requirements, process flows, and solution specifications that support successful implementation outcomes.<br>• Analyze large and complex data sets using SQL and related tools to identify trends, validate requirements, and support decision-making.<br>• Create dashboards and reporting outputs in Power BI to communicate project insights, operational metrics, and implementation progress.<br>• Support testing activities by developing test scenarios, coordinating validation efforts, and confirming that Actimize solutions align with documented requirements.<br>• Collaborate with cross-functional partners to resolve gaps, clarify business rules, and improve the quality of deliverables throughout the project.<br>• Leverage business intelligence and data modeling tools to document source-to-target relationships and support solution design discussions.
We are looking for a Senior Financial Analyst to join a high-performing finance team in Pennsylvania. In this role, you will work closely with operations leaders and senior management to deliver planning support, performance insights, and financial guidance that shape business decisions. This opportunity is well suited for someone in finance who enjoys combining analytical depth with cross-functional partnership in a manufacturing setting.<br><br>Responsibilities:<br>• Develop a strong command of the company’s operating model, product portfolio, and key financial drivers to improve analysis and recommendations.<br>• Collaborate with plant and business leaders to evaluate performance trends, model scenarios, and support informed decision-making.<br>• Interpret operating and financial data to identify meaningful trends, explain business results, and recommend practical actions.<br>• Monitor key performance indicators, investigate variances against budget and forecast, and prepare concise monthly performance commentary.<br>• Assess the financial impact of cost improvement initiatives and track results against expected savings.<br>• Create monthly reporting packages and presentation materials for leadership, highlighting risks, opportunities, and emerging priorities.<br>• Contribute to the annual budgeting and forecasting cycle through detailed analysis, forecasting support, and executive-ready presentations.<br>• Support product cost updates, capital investment evaluations, and business cases tied to process improvements, new offerings, capacity needs, or acquisition activity.<br>• Build and maintain financial models and deliver ad hoc analysis to support strategic and operational initiatives across the organization.
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.