<p><strong>Business Analyst - AI Chatbots (Contract)</strong></p><p><strong>Employment Type:</strong> 28 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>Hybrid/Onsite Philadelphia, PA</p><p><br></p><p><strong>Position Overview</strong></p><p>We are seeking a highly analytical Business Analyst to support the strategy, optimization, and delivery of conversational AI experiences, including chatbot solutions. In this role, you will uncover insights from transcripts, customer journeys, and cross channel behavior; translate those insights into clear use cases and requirements; and ensure chatbot features are grounded in data, customer needs, and measurable business value.</p><p><br></p><p>In this position, you will serve as a measurement and insights lead and a trusted subject matter expert, elevating how we track performance and use analysis to drive product improvements. This requires strong independent judgment and ownership: you will identify the next best steps, proactively propose improvements to processes and ways of working, and drive alignment to move work forward.</p><p>You will also partner closely with Product, Engineering, and Conversational Design to define requirements and support delivery through user stories and UAT to drive continuous improvement across AI powered interactions.</p><p><br></p><p>This role is ideal for an independent thinker who excels at blending data analysis, customer experience understanding, and structured business requirements to help bring high impact conversational AI features to life.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p>• Define KPIs and success metrics for conversational AI features, establish a reporting cadence, and proactively translate results into clear next actions</p><p>• Independently conduct deep dive analysis of transcripts, customer journeys, and cross channel behaviors; form hypotheses, validate root causes, and recommend high impact automation opportunities</p><p>• Own ongoing intent performance monitoring to spot trends early, diagnose issues, and proactively drive prioritization of next best improvements (with clear rationale and expected impact)</p><p>• Proactively surface gaps, risks, and decision points; bring options with a recommended path forward, align stakeholders, and drive decisions to closure</p><p>• Lead cross functional synthesis across unassisted channels (chatbots, voice) to identify integration needs, propose solutions, and drive alignment on the path forward</p><p>• Perform competitive and SWOT analysis to benchmark conversational AI experiences, identify strategic gaps, and recommend where to invest or change course</p><p>• Develop and socialize data driven roadmap recommendations—sizing opportunities, clarifying tradeoffs, and proposing a prioritized sequence of work tied to business goals</p><p>• Translate insights into clear requirements, user stories, and acceptance criteria—anticipating questions, driving clarity on business rules, and unblocking delivery teams</p><p>• Collaborate with Conversational Designers and Authors to refine intents, optimize journeys, and tune prompts based on insights</p><p>• Participate in backlog grooming, story writing, sprint planning, and support UAT cycles to ensure features meet business and conversational requirements</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 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 an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
<p><strong>Data Analyst III (Contract)</strong></p><p><strong>Job Type:</strong> 26 Week Contract / Temporary</p><p><strong>Location:</strong> Remote - Philadelphia, PA</p><p><strong>Overview</strong></p><p>Seeking a highly analytical <strong>Data Analyst III</strong> to drive business decisions through advanced data analysis, strategic insights, and KPI optimization. This role is responsible for transforming large, complex datasets into actionable recommendations that support business strategy, operational improvements, and performance measurement.</p><p>The ideal candidate brings strong technical expertise, business acumen, and the ability to clearly communicate insights to stakeholders at multiple levels.</p><p><strong>Key Responsibilities</strong></p><ul><li>Perform advanced data analysis on large, complex datasets using multiple analytical techniques to drive improvements in KPIs and business objectives</li><li>Develop methodologies, establish baselines, and independently execute recurring or related analytical projects</li><li>Apply industry best practices to ensure accurate measurement, KPI development, and statistical significance</li><li>Write and optimize complex SQL queries across multiple platforms while maintaining performance best practices</li><li>Serve as a subject matter expert (SME) for data sources, owning data selection, methodology, and validation processes</li><li>Conduct data validation and identify inconsistencies; collaborate with stakeholders to implement solutions and resolve anomalies</li><li>Partner with data quality and architecture teams to support data ingestion, automation, and reporting needs</li><li>Create reports, dashboards, and presentations that effectively communicate analytical findings and business recommendations</li><li>Develop compelling data visualizations that clearly convey insights and support strategic decision-making</li><li>Translate technical methodologies into clear, concise messaging tailored to various audiences</li><li>Identify trends, shifts in performance, and relationships between dependent KPIs to inform business strategy</li><li>Plan, manage, and execute projects independently; proactively communicate progress, risks, and timelines</li><li>Utilize tools such as JIRA to track tasks, manage workflows, and ensure project transparency</li><li>Participate in cross-functional initiatives, team processes, and knowledge-sharing activities</li><li>Support continuous improvement in reporting, analytics, and operational processes</li></ul>
We are looking for a DevOps Engineer to support the delivery, reliability, and security of mission-critical platforms in Princeton, New Jersey. This role focuses on building and sustaining containerized environments, improving deployment processes, and strengthening operational visibility across distributed systems. The ideal candidate brings strong infrastructure automation experience and can work effectively with engineering and support teams to maintain stable, scalable services.<br><br>Responsibilities:<br>• Design, implement, and maintain resilient container-based platforms using Kubernetes and OpenShift across cloud, data center, and edge environments.<br>• Manage application deployment, configuration, patching, and ongoing lifecycle support for distributed systems operating in both connected and restricted networks.<br>• Develop and optimize monitoring solutions with Prometheus and Grafana, including dashboards, alerts, and service health indicators that improve incident response.<br>• Install and validate software releases in development and test environments, support regression testing, and coordinate production rollouts with minimal service disruption.<br>• Build and scale containerized services with Docker and Kubernetes to support enterprise and edge-ready architectures.<br>• Configure and support identity and access integrations with enterprise authentication platforms such as Microsoft Entra ID and related infrastructure services.<br>• Investigate user-reported issues through ticketing workflows, document resolutions, and maintain operational runbooks and knowledge resources.<br>• Partner with analysts, engineers, and technical stakeholders to convert operational needs into deployable solutions and feed production issues back into product improvements.<br>• Apply DevSecOps practices including vulnerability remediation, image hardening, secrets handling, and support for secure compliance-oriented environments.<br>• Participate in after-hours support and on-call rotations to address outages, performance issues, and other high-priority production events.
Key Responsibilities<br>• Provide Tier 1 and Tier 2 support for end users across voice, data, applications, and desktop systems<br>• Troubleshoot and resolve hardware, software, and network-related issues both remotely and onsite<br>• Support and administer Windows Server environments and Active Directory<br>• Manage and maintain Microsoft 365 (O365) including Exchange, SharePoint, OneDrive, and MFA<br>• Configure, deploy, and support Windows 10/11 workstations and peripherals<br>• Support and troubleshoot LAN/WAN connectivity, VOIP systems, and network devices<br>• Monitor and manage system backups, disaster recovery processes, and infrastructure performance<br>• Lead and participate in IT projects, including site setups, upgrades, and deployments<br>• Evaluate hardware/software needs and recommend solutions aligned with business requirements<br>• Collaborate with vendors, procurement, and internal teams on technology solutions and services<br>• Maintain accurate documentation of systems, processes, and infrastructure<br>• Manage hardware/software inventory and ensure proper asset tracking<br>• Provide technical guidance to team members and act as an escalation point when needed<br>• Deliver regular updates on project status and system performance to leadership
<p><strong>Senior Security Engineer (Cybersecurity Integration) – Contract</strong></p><p><strong>Employment Type:</strong> Contract</p><p><strong>Duration:</strong> Long-term engagement (anticipated through next year)</p><p><strong>Work Arrangement:</strong> Hybrid, Onsite Philadelphia, PA</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Senior Security Engineer</strong> to lead cybersecurity integration efforts for newly acquired organizations. This role is critical to maintaining and enhancing enterprise security standards during integration initiatives by ensuring alignment with existing cybersecurity operations, monitoring, and response capabilities.</p><p>This position requires a strong background in <strong>cybersecurity engineering, SOC operations, incident response, and threat detection</strong>, with the ability to manage integrations end-to-end—from initial assessment through full operational onboarding.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead <strong>cybersecurity integration efforts</strong> for newly onboarded organizations, ensuring alignment with enterprise security standards</li><li>Gather and document cybersecurity requirements in collaboration with stakeholders and security operations teams</li><li>Oversee <strong>vulnerability management integration</strong>, including deployment of host agents, scanner setup, and authenticated scanning</li><li>Support <strong>threat intelligence initiatives</strong>, including onboarding of new domains, brands, or assets for monitoring</li><li>Guide ingestion of critical <strong>log sources into centralized security platforms</strong></li><li>Contribute to <strong>threat detection engineering</strong>, including development and tuning of detection rules</li><li>Support <strong>migration and implementation of security services</strong>, ensuring continuity of alerting, monitoring, and automation capabilities</li><li>Develop and maintain <strong>incident response playbooks</strong>, ensuring alignment with internal standards and audit requirements</li><li>Lead and coordinate <strong>incident response efforts</strong>, including root cause analysis and post-incident reviews</li><li>Conduct <strong>after-action reviews</strong> and implement improvements to prevent recurrence</li><li>Collaborate with cross-functional teams including GRC, operations, and engineering to support onboarding and security processes</li><li>Provide regular updates to leadership, track progress, and maintain documentation and reporting artifacts</li></ul>
<p>Senior Software Engineer, Backend (Python / Cloud Security Platforms)</p><p>Location: Philadelphia, PA</p><p>Work Arrangement: Hybrid – 2-4 days per week onsite</p><p>Schedule: Standard business hours</p><p><br></p><p>Key Responsibilities</p><p>Backend Engineering & Platform Development</p><ul><li>Design, build, and maintain backend services and data pipelines that ingest, normalize, and analyze large volumes of cloud and security data.</li><li>Write production‑quality Python code using established architectural patterns, testing practices, and documentation standards.</li><li>Design and own medium‑complexity systems, including data models, API contracts, orchestration logic, and integrations.</li></ul><p>AI‑Augmented Development</p><ul><li>Leverage AI coding agents daily to accelerate development while maintaining code quality and architectural consistency.</li><li>Craft structured prompts aligned with project conventions and critically evaluate AI‑generated output for correctness, security, and maintainability.</li><li>Apply judgment to determine when to hand‑code versus delegate tasks to AI agents.</li></ul><p>Cloud, Infrastructure & Reliability</p><ul><li>Build and maintain services running on AWS, including containerized workloads and supporting cloud services.</li><li>Implement resilient, long‑running processes with robust retry logic, progress tracking, and failure handling.</li><li>Contribute to Infrastructure as Code and CI/CD pipelines supporting multi‑environment deployments and security scanning.</li></ul><p>Collaboration, Quality & Operations</p><ul><li>Conduct thorough code reviews evaluating design intent, correctness, security, and long‑term sustainability.</li><li>Collaborate closely with security analysts, platform teams, and leadership to refine requirements and technical solutions.</li><li>Participate in support rotations, monitor service health, and respond to operational issues.</li><li>Maintain documentation, runbooks, and architectural decision records.</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>
We are looking for an experienced Business Analyst III (Contractor) to support cross-functional initiatives by connecting business objectives with effective technology solutions in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can evaluate operational needs, shape clear requirements, and guide collaboration between business stakeholders and IT teams. The role calls for strong analytical thinking, effective communication, and the ability to turn broad business goals into practical, well-defined outcomes.<br><br>Responsibilities:<br>• Partner with business stakeholders and technology teams to clarify objectives, identify needs, and align solution planning with operational priorities.<br>• Examine current business processes to uncover inefficiencies, risks, and opportunities for improved automation and performance.<br>• Produce clear business and functional documentation that translates stakeholder expectations into actionable guidance for technical teams.<br>• Support process redesign efforts by mapping workflows, defining future-state approaches, and documenting recommended changes.<br>• Facilitate discussions among business units and IT partners to build consensus, resolve issues, and maintain forward progress from requirements through delivery.<br>• Manage updates to requirements and specifications as project needs evolve, ensuring documentation remains accurate and traceable.<br>• Communicate business strategy, priorities, and operational context to technical teams so proposed solutions reflect organizational goals.<br>• Assess available technology options and contribute informed recommendations, including input on whether solutions should be purchased or developed internally.<br>• Assist with implementation activities by validating that delivered solutions meet agreed business needs and functional expectations.
<p><strong>Machine Learning Engineer</strong></p><p><strong>Pay: </strong>Available on W2 Basis</p><p><strong>Consultant I (Contractor)</strong></p><p><strong>Work Location:</strong> Philadelphia, PA Hybrid, 4x Onsite</p><p><strong>Engagement Type: </strong>34 Week Contract, Potential for Extension or Conversion</p><p><strong>Position Overview</strong></p><p>We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>