Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. <br><br><br><br>The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. <br><br><br><br>Key Responsibilities<br><br>Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. <br>Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms.<br>Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. <br>Design, develop, and support operational dashboards and reporting solutions using Power BI. <br>Assist with migration of legacy reporting processes to modern business intelligence platforms. <br>Manage datasets, semantic models, report distributions, and reporting governance processes. <br>Collaborate with business leaders to define reporting requirements and establish data standards. <br>Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. <br>Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness.<br><br><br>Qualifications<br><br>Experience within the Property & Casualty insurance industry is required<br>Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. <br>8+ years of data analytics, data operations, or business intelligence <br>Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. <br>Experience with Microsoft Fabric and Medallion Architecture methodologies.<br>Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements.<br>Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. <br>Experience with Origami and/or DXC Assure Claims is a plus.
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 Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.<br>• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.<br>• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.<br>• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.<br>• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.<br>• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.<br>• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.<br>• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
<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 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.
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 Business Analyst to join a team focused on improving internal technology solutions, strengthening data connectivity, and refining business processes across a largely custom software environment. This contract opportunity with potential for a permanent role is based in Reading, Pennsylvania, and will partner closely with business stakeholders across North America as well as a development team to turn operational needs into well-defined solutions. The role is ideal for someone who can quickly understand new systems, balance multiple initiatives, and communicate clearly in a dynamic setting.<br><br>Responsibilities:<br>• Partner with business teams to uncover needs, define objectives, and translate requests into detailed functional and technical requirements.<br>• Contribute to data integration efforts by helping organize, analyze, and support the movement of commercial and customer information between systems.<br>• Plan and facilitate user acceptance testing by preparing test scenarios, tracking defects, and confirming that delivered solutions align with expected outcomes.<br>• Monitor project activity by coordinating priorities, maintaining timelines, and keeping stakeholders informed on progress and next steps.<br>• Produce clear internal documentation, including intranet content and end-user guides, to encourage effective use of company applications.<br>• Attend cross-functional meetings to build knowledge of internal platforms and provide day-to-day support for business applications.<br>• Work with technical teams to clarify business intent, answer requirement questions, and help move enhancements through delivery.<br>• Help identify process improvement opportunities that increase efficiency and support stronger application adoption across the organization.
<p>We are looking for a Business Analyst to join a collaborative team on a contract basis. This position will partner closely with business stakeholders and cross-functional teams to translate operational needs into clear, actionable requirements. The ideal candidate brings strong experience with Salesforce and nCino, along with the ability to support agile planning, documentation, and ongoing process improvement.</p><p><br></p><p>Responsibilities:</p><p>• Lead discovery sessions with business partners to identify goals, capture needs, and clarify functional expectations.</p><p>• Convert business input into organized requirements, user stories, and supporting documentation for delivery teams.</p><p>• Refine and manage the requirements backlog to keep work items current, well-defined, and ready for development.</p><p>• Contribute to prioritization conversations by evaluating business value, urgency, and implementation considerations.</p><p>• Administer and update the Salesforce and nCino SharePoint repository to ensure materials remain accurate and accessible.</p><p>• Collaborate closely with experienced business analysis and scrum team members to support agile ceremonies and day-to-day delivery activities.</p><p>• Review existing documents and workflows to identify gaps, inconsistencies, and opportunities for improved alignment.</p><p>• Act as a liaison between stakeholders and project teams to promote shared understanding throughout the project lifecycle.</p>
We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem.<br><br>Responsibilities:<br>• Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance.<br>• Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting.<br>• Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets.<br>• Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework.<br>• Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs.<br>• Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs.<br>• Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability.<br>• Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
We are looking for a skilled Oracle FDI - Data Reporting Analyst to join a Long-term Contract opportunity in Reading, Pennsylvania. In this role, you will create and improve reporting solutions that help teams understand workforce performance, operational activity, and broader business trends. You will work closely with both business partners and technical teams to turn data needs into practical dashboards, reports, and insights that support informed decision-making.<br><br>Responsibilities:<br>• Design, build, and refine dashboards, recurring reports, and visual analytics that support enterprise reporting objectives.<br>• Use Oracle Fusion Data Intelligence to gather, interpret, and present workforce and business data in a meaningful way.<br>• Collaborate with Workforce Technology leaders and cross-functional stakeholders to define reporting needs and deliver useful data solutions.<br>• Perform data preparation activities such as validation, transformation, and modeling to improve the reliability of reporting outputs.<br>• Connect and organize data from multiple sources to support scalable analytics across reporting environments.<br>• Analyze patterns and reporting results to highlight trends, strengthen data quality, and support business decisions.<br>• Maintain and enhance existing reporting assets to ensure they remain accurate, relevant, and aligned with organizational priorities.
<p><strong>Data Scientist III </strong>(Supply Chain Optimization & Forecasting)</p><p>Long Term Contract</p><p>Hybrid Philadelphia, PA</p><p>Pay: Available on W2</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Data Scientist III</strong> to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.</p><p>This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.</p><p><strong>Key Responsibilities</strong></p><p>Forecasting & Data Science</p><ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul><p>Inventory Optimization & MEIO</p><ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul><p>Optimization Engineering</p><ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul><p>Data Engineering & Operationalization</p><ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
We are looking for a Help Desk Analyst to support end users with day-to-day technical issues in Pennsylvania. This contract opportunity with potential for a permanent role is ideal for someone who enjoys solving problems, delivering responsive customer support, and maintaining reliable desktop performance across a Microsoft Windows environment. The person in this role will handle incoming service requests, troubleshoot system and access issues, and help ensure users can work efficiently with minimal disruption.<br><br>Responsibilities:<br>• Provide first-level technical support for hardware, software, and Windows-related issues reported by end users.<br>• Manage and resolve service desk tickets in a timely manner, documenting steps taken and outcomes clearly.<br>• Troubleshoot desktop and account-access problems, identifying root causes and escalating more complex issues when needed.<br>• Support user administration tasks within Active Directory, including account updates and access-related assistance.<br>• Assist team members with Windows 10 functionality, system settings, and common workstation problems.<br>• Communicate with users throughout the support process to set expectations and confirm issue resolution.<br>• Maintain accurate records of incidents, requests, and recurring technical concerns to support service improvement.
We are looking for a Web Analytics Specialist to support digital measurement and insight generation for a healthcare-focused organization in Philadelphia, Pennsylvania. This Long-term Contract role is ideal for a mid-level analyst who combines strong technical capabilities with sharp business judgment, turning complex web data into clear recommendations for cross-functional partners. The person in this position will help shape how marketing, campaign, and paid media performance are measured while contributing to a collaborative, insight-driven team environment.<br><br>Responsibilities:<br>• Design, update, and optimize Power BI dashboards that give stakeholders clear visibility into website, campaign, and funnel performance.<br>• Analyze digital behavior and marketing results to uncover trends, explain performance shifts, and translate findings into practical recommendations.<br>• Develop meaningful measurement frameworks and introduce new KPIs that improve how online engagement and conversion activity are evaluated.<br>• Use website analytics data to answer detailed business questions, including page-level interaction patterns and audience engagement across digital properties.<br>• Work closely with marketing, web, data, and engineering partners to align reporting needs, improve data usability, and support informed decision-making.<br>• Oversee recurring performance reporting while also responding to ad hoc analytical requests tied to evolving business priorities.<br>• Manage multiple stakeholder needs at once, ensuring deadlines are met without losing focus on quality or strategic value.<br>• Query and interpret data within Databricks and collaborate with engineering teams on data accessibility, structure, and analytics readiness.<br>• Support analytics tagging and tracking initiatives through tools such as Tealium and contribute to reporting environments connected to layered data models, including Silver and Gold data assets.
We are looking for an experienced IT Financial Analyst to join a waste and environmental services organization in Pennsylvania. This contract opportunity with permanent potential is ideal for someone who can bridge technology finance, vendor oversight, and contract administration while helping leaders maintain visibility into IT spending. The role will support budgeting accuracy, financial reporting, and cross-functional coordination with procurement and legal partners in a fast-paced environment.<br><br>Responsibilities:<br>• Lead analysis of IT expenditures by comparing forecasts, budgets, and actual results to identify trends, gaps, and corrective actions.<br>• Review accruals and reconcile financial records to improve accuracy in monthly and periodic technology spend reporting.<br>• Partner with procurement stakeholders to monitor purchase requests, vendor quotes, contract terms, and agreement status across the purchasing lifecycle.<br>• Coordinate with legal and procurement teams to support contract evaluations, renewal planning, and documentation follow-up for technology vendors.<br>• Build and maintain reporting models, reconciliations, and financial tracking tools using advanced spreadsheet capabilities and enterprise systems.<br>• Produce clear summaries and dashboards that help stakeholders understand portfolio costs, vendor commitments, and budget performance.<br>• Support governance of IT financial data by organizing spend details, contract information, and supporting records for ongoing review.<br>• Work with business and technology teams to improve the quality, consistency, and usability of financial and procurement-related data.<br>• Use tools such as SQL, SAP, BusinessObjects, and Google Sheets to analyze information and deliver actionable insights for decision-making.
<p>We are looking for an Financial Analyst to support a financial services organization in Philadelphia, PA. This Long-term Contract opportunity is ideal for a detail-oriented candidate who can evaluate transactional activity, identify potential financial crime risks, and produce clear investigative documentation. The role works closely with compliance, operations, and related teams to assess alerts, validate customer activity, and support due diligence efforts in a regulated environment.</p><p><br></p><p>Responsibilities:</p><p>• Evaluate alerts generated through transaction surveillance tools and assess account activity for indicators of unusual or suspicious behavior.</p><p>• Analyze customer transactions against expected usage patterns, escalating and researching variances that require deeper review.</p><p>• Conduct investigations into flagged activity and complete follow-up analysis to determine whether transactions are legitimate and adequately explained.</p><p>• Create thorough case records, investigative summaries, and supporting documentation for internal stakeholders and potential regulatory needs.</p><p>• Work with compliance, operations, and partner teams to collect information necessary for customer due diligence and enhanced due diligence reviews.</p><p>• Apply regulatory expectations, internal policies, and established controls when reviewing activity and recording conclusions.</p><p>• Participate in training and career development to stay informed on changing compliance obligations, emerging threats, and industry standards.</p><p>• Coordinate with technology and support teams to strengthen monitoring logic, improve alert effectiveness, and enhance investigative workflows.</p>
We are looking for an Oracle HCM Systems Analyst to support learning and system enablement initiatives for HR technology programs in Reading, Pennsylvania. This Long-term Contract position is best suited for someone who can blend instructional design expertise with strong systems knowledge to improve user adoption, training effectiveness, and operational consistency. The person in this role will work onsite and partner with stakeholders to create impactful learning solutions, evaluate training needs, and strengthen governance across Oracle HCM-related processes.<br><br>Responsibilities:<br>• Create and maintain engaging training resources such as digital learning modules, reference materials, standard work documents, and awareness communications that support Oracle HCM users.<br>• Partner with business stakeholders to analyze audience needs, identify skill gaps, and recommend practical learning approaches aligned with operational goals.<br>• Use instructional design methods and user-focused content strategies to build clear, effective training experiences for different employee groups.<br>• Track training performance through metrics and reporting, using data insights to improve content quality, adoption rates, and overall program effectiveness.<br>• Support governance efforts by refining documentation practices, reviewing training materials for consistency, and helping establish sustainable learning standards.<br>• Coordinate system education efforts tied to Oracle HCM initiatives, including user outreach, learning event promotion, and readiness activities.<br>• Participate in upgrade and change-impact reviews to determine how system updates affect current training assets and where new materials are needed.<br>• Lead communication and change-support activities that help users adapt to new processes, tools, and system enhancements.<br>• Identify opportunities to modernize learning delivery by incorporating emerging technologies, AI-enabled tools, and innovative content development practices.
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 an IT Security Analyst to support and strengthen daily security operations for a financial services environment in Bensalem, Pennsylvania. This role focuses on monitoring security activity, managing risk and compliance tasks, and helping ensure timely response to incidents, vulnerabilities, and access-related concerns. The ideal candidate brings a strong service mindset, solid technical judgment, and the ability to collaborate across technology teams while maintaining a secure and well-documented operating environment.<br><br>Responsibilities:<br>• Manage incoming security-related support requests, resolve issues within established service expectations, and provide responsive assistance to internal users and IT partners.<br>• Perform recurring reviews of security devices, system settings, and user access controls to confirm appropriate protection and identify areas requiring remediation.<br>• Use governance, risk, and compliance tools to track vulnerability findings, coordinate follow-up actions, and work with infrastructure teams to keep patching efforts on schedule.<br>• Conduct third-party security assessments and prepare clear reporting to support vendor risk visibility and decision-making.<br>• Gather and organize evidence for internal and external audits, ensuring materials are accurate, complete, and available when needed.<br>• Contribute to the improvement of security monitoring capabilities by evaluating SIEM performance and recommending enhancements to alerting and visibility.<br>• Record and help investigate security events, malware alerts, and related incidents while supporting escalation and coordination across technical teams.<br>• Review information security policies on a regular basis, update existing standards, and draft new documentation to address control gaps or regulatory changes.<br>• Provide security-focused support for Windows environments and business applications, while helping maintain procedures and improve operational processes.<br>• Work with cross-functional technology teams on security initiatives, deployments, and broader projects involving firewalls, web filtering, intrusion prevention, and data protection controls.