<p>We are seeking an experienced <strong>Business Analyst</strong> with a strong background in the <strong>Property & Casualty Insurance</strong> industry to support complex technology initiatives. This role will partner with business stakeholders, technical teams, and third-party vendors to gather, analyze, and document functional requirements for underwriting, claims, and data-focused projects.</p><p>The ideal candidate brings deep knowledge of the <strong>P&C insurance domain</strong>, particularly underwriting operations and policy administration, along with strong technical analysis skills and the ability to translate business needs into clear requirements.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Gather, analyze, and document business and functional requirements for complex IT projects.</li><li>Work closely with business users, developers, architects, QA teams, infrastructure teams, and software vendors to ensure requirements are clearly defined and delivered on time.</li><li>Support initiatives related to <strong>underwriting</strong>, <strong>claims applications</strong>, <strong>data integration</strong>, and <strong>data quality</strong>.</li><li>Translate business processes and needs into detailed functional specifications, workflows, and use cases.</li><li>Partner with stakeholders to improve system functionality and support business objectives across the insurance policy lifecycle.</li><li>Assist with requirements validation, testing support, and issue resolution throughout the project lifecycle.</li><li>Identify opportunities where technology can improve operational efficiency and business outcomes.</li></ul><p><br></p>
<p>We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives.</p><p><br></p><p><strong><em><u>Key Responsibilities</u></em></strong></p><p><br></p><p><strong>Database Design & Management</strong></p><ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul><p><strong>Strategic SQL & Data Engineering</strong></p><ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul><p><strong>Data Pipeline Automation & Orchestration</strong></p><ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul><p><strong>Performance Optimization</strong></p><ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul><p><strong>Data Integrity & Security</strong></p><ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul><p><strong>Documentation</strong></p><ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
<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>
<p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
We are looking for a BI Engineer to join our team and turn complex data into meaningful insights that support smarter decision-making across the business. This contract position with permanent potential is ideal for someone who combines strong technical expertise in Power BI with a thoughtful approach to storytelling through data. The role will focus on creating scalable reporting solutions, applying AI-driven capabilities within the Microsoft ecosystem, and helping business users get more value from analytics tools.<br><br>Responsibilities:<br>• Create and enhance Power BI dashboards, reports, and semantic models that deliver clear, reliable, and business-relevant insights.<br>• Develop robust data models using Power Query and DAX, ensuring calculations, relationships, and transformations support accurate analysis.<br>• Apply built-in AI features within Power BI, such as narrative summaries, anomaly identification, influencer analysis, decomposition views, and natural language querying, to uncover deeper trends.<br>• Write and refine SQL queries to pull, cleanse, and organize data from platforms such as Snowflake, SQL Server, and Azure Synapse for reporting needs.<br>• Partner with analysts, data engineers, and business stakeholders to define reporting goals and translate requirements into effective BI solutions.<br>• Lead user discussions to collect feedback, improve reporting usability, and provide guidance on how to use BI tools effectively.<br>• Manage Power BI Service content, including workspace organization, refresh scheduling, security controls, and deployment processes.<br>• Build automated workflows with Power Automate to streamline report distribution, trigger alerts, and reduce manual effort tied to analytics processes.
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>A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals.</p><p><br></p><p><strong>Primary Responsibilities:</strong></p><ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul><p><br></p>