We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools.<br><br>Responsibilities:<br>• Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.<br>• Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.<br>• Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.<br>• Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.<br>• Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.<br>• Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.<br>• Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.<br>• Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.<br>• Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
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 Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
We are looking for a detail-oriented analyst to support quality oversight and speech analytics initiatives for a compliance-focused environment in Fort Washington, Pennsylvania. This Long-term Contract position will partner with business teams to turn call data into actionable insights, strengthen audit readiness, and improve monitoring programs. The role is well suited for someone who combines analytical thinking, strong communication skills, and hands-on experience with reporting tools and post-call review platforms.<br><br>Responsibilities:<br>• Design and refine speech and keyword searches that help uncover trends, exceptions, and potential compliance concerns within recorded interactions.<br>• Partner with cross-functional stakeholders to evaluate business processes, review audit selections, and recommend practical improvements based on findings.<br>• Lead conversations with managers and operational teams to clarify updates, reinforce expectations, and support adoption of revised procedures.<br>• Produce monitoring results and analytic insights that contribute to training materials and enterprise-wide education efforts.<br>• Maintain organized records and classification structures to support data accuracy, traceability, and dependable system performance.<br>• Prepare recurring and ad hoc reports, assist with workflow reviews, and document observations from quality and compliance audits.<br>• Investigate recurring issues by performing root cause analysis and identifying drivers behind underperforming categories or trends.<br>• Support internal departments with monthly audit activities, audit response coordination, and follow-up actions tied to findings.<br>• Collaborate with analysts on reporting enhancements, dashboard development, and data visualization improvements using tools such as Tableau.<br>• Provide day-to-day guidance to less experienced team members and serve as a knowledgeable resource for analytics and quality-related questions.
<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 contract opportunity with a path to a permanent role supporting supply chain and finance initiatives in Wayne, Pennsylvania. This position offers broad exposure to operational workflows, client connectivity efforts, enterprise applications, and innovative AI-driven business solutions. The ideal candidate will partner with stakeholders across business and technical teams to clarify needs, improve processes, and help drive successful project outcomes.<br><br>Responsibilities:<br>• Partner with senior analysts and cross-functional teams to support initiatives related to client setup, application rollouts, systems integration, and workflow enhancement.<br>• Elicit, organize, and document business and functional needs so stakeholders and technical teams share a clear understanding of project goals.<br>• Act as a central point of coordination among internal users, operations staff, external clients, vendors, and technology teams to keep work aligned and moving forward.<br>• Convert operational challenges and business objectives into practical, well-defined requirements that guide solution planning and execution.<br>• Facilitate user acceptance testing activities by preparing test scenarios, tracking outcomes, and investigating issues when results do not match expectations.<br>• Oversee several assignments at once while maintaining strong attention to detail, accurate documentation, and consistent follow-through.<br>• Analyze both day-to-day process details and larger business objectives, asking thoughtful questions to uncover gaps, risks, or incorrect assumptions.<br>• Contribute to projects involving supply chain operations, finance-related processes, and emerging AI applications where business value can be improved.
We are looking for a Digital Marketing Analyst to support data-driven marketing decisions for a global organization based in Newark, Delaware. This Long-term Contract position will focus on turning digital performance data into practical insights that strengthen campaign outcomes, improve audience engagement, and guide smarter budget allocation. The role works closely with marketing, digital, agency, and technical partners, with primary support directed toward the Americas while also contributing to broader international initiatives. Success in this position will come from building consistent measurement practices, uncovering meaningful trends, and helping teams act on performance findings with confidence.<br><br>Responsibilities:<br>• Examine results across campaigns, website activity, audience engagement, and marketing channels to uncover patterns, gaps, and areas for improvement.<br>• Create quarterly business reviews and performance summaries that clearly connect marketing efforts to business objectives and measurable outcomes.<br>• Monitor core success metrics and comparative benchmarks across regions, channels, content, and campaigns to evaluate effectiveness over time.<br>• Turn complex datasets into practical recommendations that enhance campaign execution, strengthen user experience, and improve content and media investment decisions.<br>• Detect weak-performing initiatives early and advise on adjustments that can improve efficiency and limit unnecessary spending.<br>• Design, refine, and maintain dashboards and recurring reports that expand visibility into performance while reducing manual reporting work.<br>• Work with cross-functional stakeholders in marketing, digital, regional, and business teams to align reporting standards and measurement methods.<br>• Help scale the organization’s campaign measurement approach by encouraging consistency, documenting insights, and supporting adoption across teams and geographies.
<p>We are seeking a detail-oriented Financial Data Analyst to support financial data validation, quality control, reporting, and analysis. This role is well suited for someone with a strong foundation in finance, excellent Excel skills, and the ability to work accurately with large volumes of financial information.</p><p><br></p><p>Bilingual Korean fluency is required for this position. Candidates must be able to communicate effectively in both Korean and English in a professional business environment.</p><p><br></p><ul><li>Validate, update, and maintain financial data with a high level of accuracy.</li><li>Perform quality control checks and identify discrepancies in financial information.</li><li>Research and resolve data, calculation, and formula discrepancies.</li><li>Use Excel to organize, analyze, and report financial information.</li><li>Review company filings, financial statements, corporate events, and other financial data.</li><li>Support ongoing financial data and reporting projects.</li><li>Manage high-volume and repetitive data tasks efficiently while maintaining quality standards.</li><li>Adapt to changing priorities and time-sensitive workloads.</li><li>Communicate effectively with internal teams and business partners in both English and Korean.</li><li>Maintain organized documentation and follow established data-quality procedures.</li></ul><p><br></p>
<p>We are seeking a detail-oriented Financial Data Analyst to support financial data validation, quality control, reporting, and analysis. This role is well suited for someone with a strong foundation in finance, excellent Excel skills, and the ability to work accurately with large volumes of financial information.</p><p><br></p><p><br></p><ul><li>Validate, update, and maintain financial data with a high level of accuracy.</li><li>Perform quality control checks and identify discrepancies in financial information.</li><li>Research and resolve data, calculation, and formula discrepancies.</li><li>Use Excel to organize, analyze, and report financial information.</li><li>Review company filings, financial statements, corporate events, and other financial data.</li><li>Support ongoing financial data and reporting projects.</li><li>Manage high-volume and repetitive data tasks efficiently while maintaining quality standards.</li><li>Adapt to changing priorities and time-sensitive workloads.</li><li>Maintain organized documentation and follow established data-quality procedures.</li></ul><p><br></p>
<p>We are seeking a detail-oriented Financial Data Analyst to support data quality, research, and analysis initiatives. This role involves reviewing financial information, applying knowledge of financial concepts, and completing high-volume data-related tasks with a strong focus on accuracy and consistency.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Review and analyze financial documents, research materials, and related data.</li><li>Apply financial and accounting knowledge to evaluate and categorize information accurately.</li><li>Complete detailed, repetitive data review and annotation tasks in accordance with established guidelines.</li><li>Maintain consistent quality and attention to detail across high-volume workloads.</li><li>Collaborate with internal teams to meet project deadlines and quality standards.</li><li>Work independently while following established processes and procedures.</li></ul><p><br></p>
<p>We are seeking a detail-oriented Financial Data Analyst to support financial data validation, quality control, reporting, and analysis. This role is well suited for someone with a strong foundation in finance, excellent Excel skills, and the ability to work accurately with large volumes of financial information.</p><p>Bilingual Japanese fluency is required for this position. Candidates must be able to communicate effectively in both Japanese and English in a professional business environment.</p><p><br></p><ul><li>Validate, update, and maintain financial data with a high level of accuracy.</li><li>Perform quality control checks and identify discrepancies in financial information.</li><li>Research and resolve data, calculation, and formula discrepancies.</li><li>Use Excel to organize, analyze, and report financial information.</li><li>Review company filings, financial statements, corporate events, and other financial data.</li><li>Support ongoing financial data and reporting projects.</li><li>Manage high-volume and repetitive data tasks efficiently while maintaining quality standards.</li><li>Adapt to changing priorities and time-sensitive workloads.</li><li>Communicate effectively with internal teams and business partners in both English and Japanese.</li><li>Maintain organized documentation and follow established data-quality procedures.</li></ul><p><br></p><p><br></p>
<p>We are seeking a detail-oriented Financial Data Analyst to support financial data validation, quality control, reporting, and analysis. This role is well suited for someone with a strong foundation in finance, excellent Excel skills, and the ability to work accurately with large volumes of financial information.</p><p>Bilingual Chinese fluency is required for this position. Candidates must be able to communicate effectively in both Chinese and English in a professional business environment.</p><p><br></p><ul><li>Validate, update, and maintain financial data with a high level of accuracy.</li><li>Perform quality control checks and identify discrepancies in financial information.</li><li>Research and resolve data, calculation, and formula discrepancies.</li><li>Use Excel to organize, analyze, and report financial information.</li><li>Review company filings, financial statements, corporate events, and other financial data.</li><li>Support ongoing financial data and reporting projects.</li><li>Manage high-volume and repetitive data tasks efficiently while maintaining quality standards.</li><li>Adapt to changing priorities and time-sensitive workloads.</li><li>Communicate effectively with internal teams and business partners in both English and Chinese.</li><li>Maintain organized documentation and follow established data-quality procedures.</li></ul><p><br></p>
We are looking for an experienced Sr. Business Intelligence Architect to shape and advance enterprise reporting and analytics capabilities for a higher education environment in Philadelphia, Pennsylvania. This role will guide the design of secure, scalable data solutions, partner closely with technical and business stakeholders, and help establish strong standards for business intelligence delivery. The ideal candidate brings deep expertise in Microsoft BI technologies, a strategic mindset for architecture, and a proven background leading business intelligence excellence across an organization.<br><br>Responsibilities:<br>• Architect enterprise-scale BI and analytics solutions using Microsoft Fabric technologies, including OneLake, Data Factory, Synapse, and Power BI.<br>• Build, refine, and support data models, ingestion workflows, and semantic structures that enable reliable analysis and reporting.<br>• Direct major data platform enhancement efforts, including initiatives involving modernization and migration to Microsoft Fabric.<br>• Work closely with analysts, engineers, and business partners to convert reporting goals into practical data architecture designs.<br>• Establish governance, design standards, and best practices to improve the quality, security, and scalability of BI solutions.<br>• Lead and mentor business intelligence teams or center-of-excellence functions to strengthen delivery consistency and technical capability.<br>• Develop reporting frameworks and dashboard strategies that provide stakeholders with clear, actionable insights.<br>• Evaluate existing BI environments and recommend architectural improvements that increase performance and long-term maintainability.