We are looking for an experienced IT Manager, Data Management to lead the company’s enterprise data strategy in Fairless Hills, Pennsylvania. This role will shape governance practices, reporting standards, and scalable data solutions that improve decision-making across operational and financial functions. The ideal candidate brings strong leadership, deep technical knowledge in data architecture and analytics, and the ability to turn complex information into practical business value.<br><br>Responsibilities:<br>• Create and refine enterprise-wide policies that govern data quality, stewardship, and usage across business systems.<br>• Direct the design of data architecture standards for the organization’s data lake and ensure scalable, reliable information flow between platforms.<br>• Oversee initiatives that improve data consistency, master data alignment, and integration across operational, dispatch, and enterprise applications.<br>• Lead the development of data pipelines, transformation processes, and structured models that support analytics, forecasting, and financial reporting.<br>• Guide the organization’s reporting and business intelligence roadmap, including executive dashboards, scorecards, and standardized performance metrics.<br>• Expand access to trusted insights by introducing appropriate self-service reporting capabilities for business users.<br>• Partner with technology and project leadership to identify automation opportunities and deliver advanced analytics solutions.<br>• Collaborate on future AI initiatives by evaluating predictive use cases, supporting model deployment, and measuring business impact from data-driven products.<br>• Manage, coach, and develop team members while building a scalable data organization aligned with company growth objectives.
<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>We are looking for a Content Manager to support digital content operations for a manufacturing organization based in Parsippany, New Jersey. This Long-term Contract position will focus on maintaining accurate, engaging, and well-organized product content across multiple brand websites while partnering with cross-functional teams to deliver a strong customer experience. The ideal candidate brings hands-on expertise in content publishing platforms, digital asset coordination, and website quality assurance within a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Oversee product onboarding and ongoing content maintenance across several brand websites, ensuring information, imagery, and supporting assets remain current and consistent.</p><p>• Create, edit, and publish web content using platforms such as Adobe Experience Manager, Shopify, and Klaviyo while applying user experience best practices.</p><p>• Coordinate with product, marketing, and global stakeholders to gather pricing, documents, creative assets, and other materials needed for accurate product launches.</p><p>• Lead assigned digital initiatives by tracking milestones, communicating status updates, addressing stakeholder questions, and keeping deliverables aligned with expectations.</p><p>• Monitor project risks and operational challenges, develop practical solutions, and take early action to prevent delays or quality issues.</p><p>• Execute quality checks for landing pages, promotional offers, site copy, and functional site elements to confirm content accuracy and site performance before and after publishing.</p><p>• Maintain an organized library of digital content and creative assets, and share newly available materials with internal teams to support ongoing campaigns and site updates.</p><p>• Investigate and resolve publishing or production problems by partnering with internal technical teams and external development resources to restore timely site operations.</p><p>• Work with cross-functional partners to translate business needs into clear digital requirements and implement content updates that support customer-facing goals.</p><p><br></p><p>02720-0013424624</p><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.
We are looking for a detail-oriented Data Specialist to join a retail food organization in Matawan, New Jersey on a contract basis with the potential for a permanent role. This position supports the accuracy, organization, and upkeep of critical business data while partnering with teams across the company to maintain reliable information and resolve discrepancies. The ideal candidate is analytical, highly organized, and comfortable balancing data administration, issue resolution, and cross-functional communication in a fast-paced office environment.<br><br>Responsibilities:<br>• Maintain accurate product, vendor, store, and employee records across internal databases and business systems.<br>• Set up new item information for merchandising teams and update existing records to reflect current business needs.<br>• Review promotional data and offers carefully, identifying inconsistencies and making corrections before release.<br>• Examine data across multiple applications to verify completeness, consistency, and overall quality standards.<br>• Investigate data-related issues, determine underlying causes, and coordinate fixes with internal stakeholders, including IT when needed.<br>• Perform routine audits and monitor daily reports to detect errors, address exceptions, and support data governance practices.<br>• Assist with system testing, validation activities, and the rollout of data updates to ensure dependable results.<br>• Provide guidance to colleagues on data processes, explain how information flows through business operations, and support training material preparation.
<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>
<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>