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 support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting.<br><br>Responsibilities:<br>• Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement.<br>• Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms.<br>• Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions.<br>• Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks.<br>• Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting.<br>• Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions.<br>• Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies.<br>• Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards.<br>• Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
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>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 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.
We are looking for an experienced Cloud Engineer to join our team in King of Prussia, Pennsylvania. In this long-term contract role, you will play a key part in building and securing a new Azure cloud environment from the ground up. This position offers a unique opportunity to design and implement robust security measures, ensuring a strong foundation for organizational compliance and performance.<br><br>Responsibilities:<br>• Deploy and configure Microsoft Defender for Cloud across multiple Azure subscriptions to enhance security monitoring and threat protection.<br>• Develop and implement Azure Policy definitions and assignments to meet organizational and regulatory standards.<br>• Design a comprehensive Log Analytics workspace architecture and configure diagnostic settings for consistent data collection.<br>• Create and enforce Conditional Access policies within the Azure Active Directory environment.<br>• Set up and manage network security groups, flow logs, and network monitoring tools to safeguard cloud-based resources.<br>• Provide technical support for compliance controls to meet organizational and regulatory requirements.<br>• Prepare detailed security architecture documentation, including policy baselines and operational procedures, to guide ongoing team operations.
We are looking for an experienced Cloud Engineer to lead the development of a robust Azure environment within a hub-and-spoke architecture. This long-term contract position is based in King of Prussia, Pennsylvania, and offers an exciting opportunity to design and implement scalable cloud solutions. The role involves hands-on engineering, collaboration with architects, and the supervision of a small team to deliver high-quality infrastructure-as-code (IaC) solutions.<br><br>Responsibilities:<br>• Lead the creation and implementation of eight Azure subscriptions using Terraform or Bicep, following a hub-and-spoke model.<br>• Develop, maintain, and optimize infrastructure-as-code modules for a variety of services including networking, Key Vault, storage, compute, container services, and monitoring.<br>• Design, test, and execute migration and remediation scripts to support workload transitions.<br>• Oversee and guide the daily activities of two Cloud Engineers working on environment replication and build tasks.<br>• Collaborate with the Databricks vendor to ensure seamless platform integration and address infrastructure needs.<br>• Participate in architecture reviews, offering actionable feedback to align designs with implementation goals.<br>• Create detailed documentation, runbooks, and knowledge transfer materials to support long-term team operations.
<p>We are looking for a detail-oriented Data Analyst to support business analysis initiatives in Manhattan, New York. This Long-term Contract position focuses on transforming project needs into tailored data outputs, delivering clear insights that help project managers make informed decisions. The role also involves evaluating operational workflows, identifying meaningful data points, and using technical tools such as Snowflake and regular expressions to improve reporting accuracy and efficiency.</p><p><br></p><p>Responsibilities:</p><p>• Develop customized data reports based on project specifications and business needs.</p><p>• Manage the full data reporting lifecycle, from gathering requirements through final delivery of actionable outputs.</p><p>• Extract, validate, and organize key information to support project managers in planning and decision-making.</p><p>• Review business processes to identify opportunities where data analysis can improve performance and visibility.</p><p>• Create and maintain regular expression rules to structure, classify, or filter data effectively.</p><p>• Write and execute Snowflake queries to retrieve, analyze, and prepare datasets for reporting purposes.</p><p>• Ensure data results are accurate, consistent, and presented in formats aligned with stakeholder expectations.</p>
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>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><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><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 an experienced Network Engineer to support and enhance enterprise network infrastructure in Flemington, New Jersey. This Long-term Contract position is ideal for a detail-oriented individual who is confident working with routing, firewall administration, and core networking technologies in a dynamic environment. The role will focus on maintaining secure, reliable connectivity while contributing to network performance, stability, and ongoing technical improvements.<br><br>Responsibilities:<br>• Manage and support enterprise network environments built on Cisco routing and switching technologies.<br>• Configure, maintain, and troubleshoot Palo Alto and Cisco ASA firewall platforms to uphold network security and access control.<br>• Monitor network performance and resolve connectivity issues to minimize downtime and maintain operational reliability.<br>• Administer and optimize Border Gateway Protocol (BGP) configurations to ensure efficient external routing.<br>• Perform network analysis, incident response, and root-cause investigation for infrastructure-related problems.<br>• Implement configuration updates and infrastructure changes in accordance with operational and security standards.<br>• Collaborate with internal technical teams to plan, test, and deploy network enhancements and upgrades.
We are looking for a Network Engineer to provide hands-on infrastructure support for a pharmaceutical manufacturing campus in New Jersey. This long-term contract position is best suited for someone who enjoys solving technical issues directly in a fast-moving, onsite environment and can work across networking, systems, and plant technology with confidence. The role supports critical operations across multiple buildings and requires a practical, service-oriented individual who can keep connectivity and infrastructure running reliably in a 24/7 setting.<br><br>Responsibilities:<br>• Deliver daily technical support for infrastructure across a multi-building manufacturing site, ensuring reliable operation of network and related systems.<br>• Diagnose and resolve network performance, connectivity, and administration issues with an emphasis on maintaining stable campus-wide service.<br>• Administer and support Cisco platforms, including Catalyst and Meraki, as well as Alcatel network equipment used throughout the environment.<br>• Investigate wireless access problems, port-level issues, and physical connectivity concerns by performing hands-on cabling, patching, and trace work.<br>• Partner with external vendors and service providers to address telecom and infrastructure-related incidents, maintenance, and escalations.<br>• Provide Windows-based systems support involving Active Directory, virtualization platforms, and enterprise server hardware in operational environments.<br>• Assist manufacturing and laboratory users by troubleshooting infrastructure and endpoint technology issues that affect day-to-day production support.<br>• Participate in after-hours and weekend on-call coverage for a continuously operating facility, responding to urgent technical needs as required.<br>• Take ownership of issues through resolution while recognizing when coordination or escalation is necessary to restore service efficiently.
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery.<br><br>Responsibilities:<br>• Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations.<br>• Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles.<br>• Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities.<br>• Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices.<br>• Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams.<br>• Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance.<br>• Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences.<br>• Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency.<br>• Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization.<br>• Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
We are looking for a Web Developer to support and enhance a modern eCommerce environment in Easton, Pennsylvania. This position focuses on building scalable web solutions across commerce platforms and storefront experiences, with an emphasis on performance, stability, and code quality. The ideal candidate will contribute to both backend and frontend development while partnering with teammates to deliver reliable digital experiences.<br><br>Responsibilities:<br>• Create and support headless Adobe Commerce solutions that connect through GraphQL and platform APIs.<br>• Develop custom backend functionality, modules, and service integrations within Magento and Adobe Commerce environments.<br>• Build and enhance storefront features using React.js and Next.js in a headless commerce architecture.<br>• Partner with frontend developers and cross-functional teammates to deliver cohesive, high-quality web experiences.<br>• Improve site speed and platform efficiency by refining caching, indexing, and query performance.<br>• Develop and maintain connections with external platforms such as payment providers, loyalty tools, and other third-party services.<br>• Investigate and resolve live production issues to strengthen uptime, reliability, and overall application performance.<br>• Produce organized, maintainable, and well-documented code that supports testing and long-term scalability.<br>• Configure and tailor checkout experiences, including customization of Hyvä Checkout functionality.
We are looking for a Cloud Engineering Specialist to support a university technology environment in New Jersey. This long-term contract position will focus on strengthening secure, reliable, and scalable cloud services while supporting core identity and collaboration platforms used across the institution. The role is well suited for a hands-on cloud specialist who can balance administration, automation, and troubleshooting in a complex enterprise setting.<br><br>Responsibilities:<br>• Manage and support the Microsoft 365 environment to maintain dependable collaboration, messaging, and productivity services.<br>• Administer cloud and identity platforms such as Microsoft Azure, Active Directory, Exchange Online, SharePoint, and Okta to ensure stable access and secure operations.<br>• Develop and maintain automation scripts and configuration workflows using PowerShell and tools such as Ansible to improve efficiency and consistency.<br>• Monitor platform performance, availability, and security, then address incidents and service issues in a timely manner.<br>• Partner with technical teams and business stakeholders to implement cloud solutions that align with institutional needs and security expectations.<br>• Investigate authentication, access, and integration issues across enterprise applications and resolve them with sound technical judgment.<br>• Produce reports, system documentation, and operational records to support audits, service management, and ongoing platform improvement.<br>• Contribute to cloud transformation and modernization efforts by recommending practical enhancements for resilience, scalability, and governance.
We are looking for an experienced Manager, Data Governance to lead enterprise data governance efforts for a higher education organization in Philadelphia, Pennsylvania. This role will shape the framework, policies, and operating model that improve data quality, accountability, and compliance across departments. The ideal candidate brings deep experience guiding governance programs in complex environments and can connect technical data issues to practical institutional impact.<br><br>Responsibilities:<br>• Create and maintain enterprise data governance standards, policy documentation, and operating procedures that support consistent data practices across the organization.<br>• Partner with data stewards and business stakeholders to roll out governance processes covering metadata, cataloging, data quality, privacy, and policy adoption.<br>• Work closely with technology teams to evaluate, implement, and optimize governance platforms and supporting data management tools.<br>• Review datasets and data definitions to detect quality concerns, resolve inconsistencies, and strengthen trust in institutional information.<br>• Build governance structures and decision-making forums that address cross-functional dependencies, escalate issues, and reinforce compliance expectations.<br>• Lead governance councils, working groups, and project teams to coordinate initiatives, assign ownership, and drive alignment on shared data priorities.<br>• Develop and execute short- and long-range data governance plans that support organizational goals and sustainable program maturity.<br>• Monitor adherence to governance policies and promote the accuracy, completeness, and consistency of data assets throughout the enterprise.