<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 seeking a skilled and motivated Data Engineer to join our team, with deep hands-on experience building and optimizing data pipelines and lakehouse solutions in Databricks. In this role, you will collaborate with cross-functional teams to design, develop, and operate scalable, reliable data products that drive business value.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain batch and streaming data pipelines using Databricks (Spark, Delta Lake, Jobs/Workflows).</li><li>Partner with data scientists, analysts, and application teams to deliver trusted, well-modeled data sets and features in the Databricks Lakehouse.</li><li>Optimize Spark jobs (partitioning, caching, join strategies) and Databricks cluster configurations for performance, scalability, and cost.</li><li>Implement data quality checks, observability, governance, and security controls (e.g., Unity Catalog, access policies) within Databricks.</li><li>Troubleshoot and resolve pipeline failures, data issues, and production incidents; perform root-cause analysis and implement preventative improvements.</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>
<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>
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>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><br></p><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><strong>Data Reporting Analyst</strong></p><p>We are seeking a Data Reporting Analyst to support business reporting and data visualization initiatives. This role will focus on building and maintaining dashboards that provide insight into operational performance, SLAs, and KPIs. The position is an ongoing contract with potential for conversion and follows a hybrid work schedule.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain Power BI dashboards to support business and IT reporting needs</li><li>Analyze and interpret data to track SLAs, KPIs, and operational performance</li><li>Partner closely with the IT Director to review trends, metrics, and reporting requirements</li><li>Ensure data accuracy, consistency, and usability across reports and dashboards</li><li>Support ongoing reporting enhancements and ad-hoc data analysis requests</li></ul><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>
<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>
<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 AML Business Analytics/Data Analyst to join our team in New York, New York. This is a long-term contract position that focuses on evaluating and enhancing data processes within the financial sector. The ideal candidate will have a strong background in data analysis, transaction monitoring, and retail brokerage or wealth management products.<br><br>Responsibilities:<br>• Analyze and monitor financial transactions to identify potential compliance risks and irregularities.<br>• Develop and maintain data requirements and source mapping to support business intelligence and analytics.<br>• Conduct in-depth analysis of retail brokerage and wealth management products to improve operational efficiency.<br>• Document and implement controls to ensure adherence to compliance standards and regulations.<br>• Collaborate with cross-functional teams to draft and refine data requirements for reporting and analysis.<br>• Utilize Microsoft SQL and BusinessObjects technologies to extract and manipulate data for actionable insights.<br>• Leverage business intelligence tools to create comprehensive reports and visualizations.<br>• Apply knowledge of Erwin Data for database modeling and management.<br>• Support compliance and anti-money laundering (AML) efforts through advanced analytics.<br>• Provide insights and recommendations based on data trends and patterns.