<p>We are looking for a Marketing Analyst to support attribution strategy and marketing performance measurement for an industrial cleaning organization based in New Jersey. This Long-term Contract position will focus on creating a scalable call tracking taxonomy, improving reporting consistency, and aligning marketing data with business goals. The ideal candidate brings strong analytics expertise, can work effectively with cross-functional stakeholders, and is comfortable turning complex campaign structures into clear, usable frameworks.</p><p><br></p><p>Responsibilities:</p><p>• Meet with marketing and business partners to gather context around current call tracking labels, identify inconsistencies, and uncover reporting gaps.</p><p>• Establish attribution standards by defining the key data points needed to evaluate performance across services, markets, campaigns, channels, ad groups, and landing pages.</p><p>• Create a structured naming framework and recommend an account hierarchy that supports future growth and simplifies ongoing management.</p><p>• Produce detailed documentation that outlines taxonomy rules, usage examples, and governance practices for maintaining accurate number assignment over time.</p><p>• Update existing call tracking assets by applying revised labels, tags, and account mappings across active numbers.</p><p>• Partner with reporting and operational stakeholders to test changes and confirm that attribution data is flowing correctly into business intelligence and call center reporting.</p><p>• Support marketing measurement efforts by helping connect call tracking practices with broader digital analytics and campaign reporting needs.</p><p><br></p><p>02720-0013427708</p><p><br></p>
<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>
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.