<p><strong>Job Summary</strong></p><p>We are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.</p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul><p><br></p>
<p>We are seeking a Senior Analyst who can take complex, raw datasets and deliver clear, actionable answers to business-critical questions. In this role, you will work with large, messy data environments, design the logic and models powering trend analysis and forecasting, and translate findings into strategic recommendations for client stakeholders.</p><p><br></p><p>Joining a agile, senior intelligence team, you will take the lead on analytical operations and onboarding for new clients.</p><p><br></p><p><strong><em><u>What You Will Do</u></em></strong></p><p><br></p><p>Data Onboarding & Preparation</p><ul><li><strong>Ingest Client Data:</strong> Ingest multi-source datasets (CRM, transactions, enrollment, web, media, and third-party files), assess data hygiene, and define analytical parameters and limitations.</li><li><strong>Data Wrangling:</strong> Clean, join, and structure large datasets (millions of records) into robust analytical tables.</li><li><strong>Automation:</strong> Build repeatable data pipelines and logic to streamline recurring monthly analyses.</li></ul><p>Analysis & Modeling</p><ul><li><strong>Performance Analysis:</strong> Evaluate business and marketing trends to uncover key drivers, business impacts, and progress toward client goals.</li><li><strong>Predictive Analytics:</strong> Build forecasting and predictive models (e.g., regression, time series, propensity, LTV) to project outcomes and quantify strategic opportunities.</li><li><strong>Customer & Campaign Insights:</strong> Conduct audience segmentation, cohort analysis, retention studies, and multi-channel performance evaluations.</li><li><strong>Experimentation & Testing:</strong> Design measurement frameworks for campaigns and A/B tests, ensuring robust control groups and incrementality measurement.</li></ul><p>Insight & Storytelling</p><ul><li><strong>Actionable Reporting:</strong> Translate findings into executive-ready narratives that lead with key takeaways, backed by data evidence and clear next steps.</li><li><strong>Stakeholder Presentation:</strong> Present findings directly to executive client stakeholders and internal cross-functional teams (account, media, creative).</li><li><strong>Reporting Integration:</strong> Collaborate with dashboard and automation leads to integrate recurring key metrics into automated reporting suites.</li></ul><p><br></p>
<p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
<p>The Business Intelligence (BI) Analyst translates business needs into actionable insights through reliable reports and dashboards. Working closely with Finance, Operations, Customer Service, and Manufacturing teams, this individual will gather reporting requirements, develop and maintain Power BI dashboards, and support data modeling efforts for a future centralized data warehouse.</p><p> </p><p>This entry-level opportunity offers structured mentorship, hands-on experience, and opportunities to grow into data engineering, advanced analytics, or broader IT application responsibilities.</p><p> </p><p><strong>Key Responsibilities</strong></p><p><strong> </strong></p><p><strong>Requirements Gathering & Business Collaboration</strong></p><ul><li>Partner with business users to understand reporting needs, business objectives, and key performance metrics.</li><li>Document requirements, data sources, metric definitions, and acceptance criteria using standardized templates.</li><li>Maintain a backlog of reporting requests and collaborate with IT leadership on prioritization.</li><li>Train end users on dashboards, gather feedback, and recommend improvements.</li></ul><p><strong>Reporting & Dashboard Development</strong></p><ul><li>Develop, publish, and maintain Power BI reports and interactive dashboards.</li><li>Automate manual Excel-based reporting processes to improve efficiency and accuracy.</li><li>Validate report data against source systems, including Monarch ERP and Smartsheet, before publishing.</li><li>Manage Power BI workspaces, user access, and scheduled data refreshes.</li></ul><p><strong>Data Warehouse & Data Quality Support</strong></p><ul><li>Inventory and document data sources, tables, and fields used across reporting solutions.</li><li>Maintain a business glossary and data dictionary with standardized definitions and metrics.</li><li>Identify data quality issues, inconsistencies, and conflicting metric definitions across departments.</li><li>Document business requirements and source-to-report mappings to support the development of a centralized data warehouse.</li></ul>
<p>We are looking for a motivated Business Analyst. This Long-term Contract opportunity is well suited for an early-career candidate who can translate business needs into clear project documentation and help keep cross-functional work on track. The role offers the chance to collaborate with both internal stakeholders and technical partners while contributing to the delivery of customer-focused digital solutions.</p><p><br></p><p>Responsibilities:</p><p>• Gather and clarify business needs from stakeholders to help define priorities for eCommerce and digital product work.</p><p>• Create organized documentation such as user stories, process notes, and project materials that support accurate execution.</p><p>• Write and maintain Jira tickets with clear acceptance criteria so development teams can move work forward efficiently.</p><p>• Coordinate communication across business teams, technical resources, and external partners to keep initiatives aligned.</p><p>• Review workflows and identify gaps, risks, or process improvement opportunities that may affect project outcomes.</p><p>• Assist Agile Scrum activities by supporting backlog updates, status tracking, and follow-up on action items.</p><p>• Monitor project details and timelines to help ensure deliverables are completed according to expectations.</p><p>• Provide document review and business support for digital initiatives, including work connected to operational or platform changes when needed.</p>
We are looking for a Business Analyst to join a fast-moving advisory environment in New York, where you will contribute to high-impact transaction and strategic projects across healthcare and technology. This position offers close collaboration with senior executives, founders, and investors while providing meaningful exposure to mergers and acquisitions, capital raising efforts, and market intelligence work. The ideal candidate brings strong analytical judgment, effective communication skills, and the ability to manage several priorities with a high degree of independence.<br><br>Responsibilities:<br>• Contribute to merger, acquisition, and fundraising engagements through each stage of the deal lifecycle, from initial planning to closing activities.<br>• Join discussions with client leadership, including founders, chief executives, and investors, to capture priorities and support transaction progress.<br>• Create clear briefing documents, presentation materials, and other decision-support content for client and investor audiences.<br>• Develop and update lists of prospective buyers, investors, and strategic targets to support outreach and transaction strategy.<br>• Assist with due diligence coordination by organizing information, monitoring requests, and helping move execution workstreams forward.<br>• Review financial forecasts provided by clients and refine Excel-based models to support analysis and scenario evaluation.<br>• Monitor active opportunities, transaction timelines, and key milestones to help maintain visibility across multiple concurrent projects.<br>• Perform industry, market, and competitive research using modern AI-enabled tools, including Claude, to produce relevant business insights.<br>• Deliver client-ready materials in PowerPoint and other formats while balancing multiple assignments with minimal day-to-day supervision.
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>The Healthcare Business Analyst – Pharmacy API Integrations is responsible for managing and improving API integrations between the organization and external pharmacy partners. This role serves as a key point of contact for API-related initiatives, ensuring integrations are well-documented, reliable, secure, and designed to support efficient pharmacy operations and a positive customer experience.</p><p><br></p><p>The individual will collaborate with external partners and internal teams across software engineering, quality assurance, project management, and operations to define requirements, resolve integration challenges, and deliver effective technical solutions. A major focus will be monitoring operational KPIs and identifying opportunities to improve performance, including faster prescription fulfillment, fewer escalations, and reduced manual intervention.</p><p><br></p><p>The ideal candidate combines strong technical and analytical skills with excellent communication, customer service, and project ownership capabilities.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Oversee pharmacy API integrations and continuously improve the experience for internal users, external pharmacy partners, and software implementation teams.</li><li>Consult with external customers and technology partners to provide guidance on API integration requirements, implementation, and best practices.</li><li>Maintain accurate, comprehensive, and up-to-date API documentation for external partners and internal stakeholders.</li><li>Collaborate with business analysts, project managers, software engineers, QA, and operations teams to define integration designs, data requirements, and workflows.</li><li>Translate business needs into clear technical requirements and develop integration solutions that support customer and operational objectives.</li><li>Investigate and troubleshoot integration issues, identify system gaps, and recommend solutions to improve reliability and performance.</li><li>Evaluate proposed solutions for technical and operational feasibility, ensuring they meet business requirements.</li><li>Monitor integration performance and operational KPIs, identifying opportunities to improve prescription fulfillment speed, reduce escalations, and minimize manual processes.</li><li>Apply a strong understanding of software development principles and API technologies to connect systems across organizations.</li><li>Stay current with emerging API technologies, industry standards, and integration best practices.</li><li>Maintain technical knowledge through ongoing professional development, industry research, and participation in relevant professional networks.</li><li>Follow established security, privacy, and administrative safeguards when performing job responsibilities.</li><li>Ensure compliance with HIPAA requirements and applicable healthcare data protection standards.</li></ul><p><strong>Performance Expectations</strong></p><p>Success in this role will be measured by the quality and accuracy of API documentation, effectiveness and reliability of integration solutions, and timely communication with external partners, vendors, business users, and internal IT teams. Additional performance measures include code resiliency, defect rates, integration stability, and improvements in operational efficiency.</p>
We are looking for an experienced AI Business Analyst/Consultant to lead data science, analytics, and product insight initiatives for a growing organization in Edison, New Jersey. This Long-term Contract position will shape how data, experimentation, and AI are used to guide product strategy, improve decision-making, and deliver measurable business value. The role works closely with cross-functional leaders to turn complex information into practical recommendations while advancing scalable analytics capabilities across the business.<br><br>Responsibilities:<br>• Direct and strengthen a team of data science and product analytics professionals, encouraging high standards, collaboration, and ongoing development.<br>• Establish the vision and execution plan for analytics and data science initiatives so product and business decisions are supported by reliable insights.<br>• Act as the product lead for the data platform by setting priorities, refining requirements, and guiding roadmap delivery.<br>• Drive the broader AI and analytics roadmap, including initiatives that support customer-facing intelligence and data-enabled product enhancements.<br>• Oversee the lifecycle of machine learning and analytical solutions, from design and deployment through performance tracking and continuous optimization.<br>• Guide the product analytics environment, including Amplitude, to create scalable measurement approaches and deliver actionable reporting.<br>• Promote disciplined experimentation and evidence-based decision-making by introducing strong analytics practices and performance frameworks.<br>• Define and monitor key product and divisional metrics to ensure outcomes remain aligned with strategic business objectives.<br>• Partner with stakeholders across product, design, engineering, marketing, and leadership teams to translate data findings into growth-focused actions.<br>• Evaluate emerging AI technologies and modern tools such as Databricks, Python, and Azure-based solutions to expand organizational analytics capability.