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 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 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.
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 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.
<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>The ideal candidate brings a strong blend of data science, mathematical optimization, forecasting, and supply chain expertise, with experience developing and operationalizing scalable models that drive measurable business outcomes.</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 solutions for demand sensing, anomaly detection, predictive analytics, and forecast improvement.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li><li>Design and implement end-to-end data science pipelines, including data preparation, deployment, monitoring, and continuous improvement.</li><li>Evaluate model performance using forecasting and business metrics such as forecast accuracy, bias, attainment, and error measurements.</li><li>Partner with cross-functional teams to scale and productionize advanced analytics solutions.</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><p><br></p>
<p>Benefits:</p><p>full medical coverage and retirement savings plan</p><p><br></p><p>Fast-paced, supply chain logistics company requires a Senior-Level Operations Analyst with data modeling and analysis experience, general finance and accounting knowledge, and strong business partnering skills. The Operations Analyst will interact directly with Finance Leadership to recommend, develop, and implement process and resource efficiencies that drive improving all aspects of Company profitability. This includes data collection, analysis, and modelling operational, labor, and financial data to identify trends, risks, and actionable improvement opportunities. Develop KPI reporting, dashboards, spending analysis, and operational performance tools that improve visibility and decision-making cadence. Analyze labor costs by functional area; perform cost rationalization across all areas of operational expenditures. Coordinate with internal teams and external partners to support product selection, supplier qualification, and competitive purchasing decisions. Locate key suppliers, negotiate pricing, contracts, payment terms, and service levels, and ensure materials, products, and services meet required specifications. Conduct market analysis and monitor pricing trends to identify cost-saving opportunities and supply chain risks. The Operations Analyst should have prior 3PL, Distributions, Logistics or Supply Chain experience, advanced excel, power bi+++, Bachelor’s Degree in Finance or Accounting, Business Management, Supply Chain Management or a related field of study. Salary in the 120-130K range plus bonus and full medical coverage and retirement savings plan. For immediate consideration please email resume to Joseph Imbesi</p>
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.
<p>South Jersey client is looking to hire a Financial Analyst with proven experience utilizing business intelligence and data visualization tools. This role will consist of financial planning, performing ratio analysis, forecasting to support budgeting and planning processes, developing analytical methods, monitoring actual performance against budgeted figures and provide variance analysis, staying up to date on industry trends, economic conditions, and market developments that may impact the organization’s financial performance. The ideal Financial Analyst for this role must have strong analytical skills and proficiency in financial modeling and data analysis tools.</p><p><br></p><p>Major Responsibilities</p><p>· Provide financial analysis, forecasting and reporting </p><p>· Develop strategic initiatives</p><p>· Budgeting & Forecasting</p><p>· Maintain knowledge of regulations and policies</p><p>· Establish possible operational cost savings</p><p>· Prepare financial reports with key metrics</p><p>· Coordinate the annual budgeting process</p><p>· Establish financial trends and make recommendations</p><p>· Partner with supply chain/procurement teams as needed</p><p>· Ensure compliance with relevant financial regulations</p>
<p>We are looking for a detail-oriented <strong>Financial Analyst</strong> to join a growing team. This contract position with permanent potential is ideal for someone who enjoys turning financial data into meaningful business insight and supporting decision-making through thoughtful analysis. The role is primarily onsite, with the possibility of a hybrid schedule after the first 90 days, and offers the opportunity to contribute during a high-demand period while building long-term value for the organization.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Analyze financial results and operational data to identify trends, risks, and opportunities that support business planning.</p><p>• Build and maintain financial models that assist with forecasting, budgeting, and scenario evaluation for management decisions.</p><p>• Perform variance reviews by comparing actual performance against budgets, forecasts, and prior periods, then communicate key findings clearly.</p><p>• Prepare ad hoc analyses and reporting materials to address changing business needs and leadership requests.</p><p>• Use data mining techniques to gather, organize, and interpret large sets of financial information from multiple sources.</p><p>• Partner with internal stakeholders to improve visibility into performance metrics and strengthen financial reporting accuracy.</p><p>• Translate complex financial information into concise summaries and recommendations for non-financial audiences.</p><p>• Support ongoing process improvements within finance operations to increase efficiency, consistency, and data reliability.</p>
<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 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.
<p>Robert Half is seeking a Sales Analytics Lead to turn market and sales data into clear insights that support smarter business decisions at our client's site in South Jersey. This Sales Analytics Lead role blends analytical thinking with strong business communication, making it ideal for someone who can evaluate performance trends, interpret research findings, and present actionable recommendations to stakeholders. The position suits someone who is detail-oriented and comfortable balancing independent work with cross-functional collaboration in a fast-paced consumer-focused environment.</p><p><br></p><p>Responsibilities:</p><ul><li>Analyze sales, market, and customer data to identify trends, performance drivers, and growth opportunities.</li><li>Create reports, dashboards, and presentations that translate complex findings into practical recommendations for business teams.</li><li>Apply statistical methods and modeling techniques to support forecasting, planning, and performance measurement.</li><li>Use tools such as Excel and Power BI to organize data, develop visual insights, and improve reporting accuracy.</li><li>Manage multiple projects at once while maintaining strong follow-through, clear priorities, and timely delivery of results.</li><li>Present findings confidently to stakeholders at different organizational levels, adjusting communication to suit the audience.</li></ul>
We are looking for a Financial Operations Analyst to join a collaborative finance team in Bristol, Pennsylvania. This role blends core accounting responsibilities with treasury support, helping maintain accurate records, manage daily cash activity, and contribute to reliable financial reporting. The ideal candidate brings hands-on experience with reconciliations, journal entries, and cash operations, along with the ability to work effectively across departments in a fast-paced environment.<br><br>Responsibilities:<br>• Record and review journal entries while supporting monthly, quarterly, and annual close activities to keep financial data accurate and current.<br>• Reconcile general ledger, balance sheet, and bank accounts, researching differences and resolving issues in a timely manner.<br>• Track daily cash movement and prepare regular cash position updates to support informed financial decision-making.<br>• Coordinate payment activity, including wire transactions and intercompany transfers, while ensuring proper documentation and control.<br>• Assist with short-range cash forecasting by analyzing balances, expected inflows, and upcoming disbursements.<br>• Contribute to the preparation of financial statements and review fluctuations to identify notable variances or unusual activity.<br>• Partner with accounts payable and accounts receivable teams to support smooth processing of cash receipts and outgoing payments.<br>• Maintain organized banking records, respond to transaction-related inquiries, and work with financial institutions to address account activity issues.<br>• Support audit requests by compiling schedules and documentation that substantiate account balances and transaction history.<br>• Recommend process enhancements that strengthen cash management reporting, improve efficiency, and reinforce internal controls.