We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
<p>We are looking for a skilled Data Analyst to join our team. In this role, you will transform complex datasets into actionable insights that drive business decisions. This position offers an exciting opportunity to collaborate with stakeholders while leveraging advanced tools and techniques to optimize data processes.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage data pipelines and reporting systems to support strategic decision-making.</p><p>• Develop and maintain interactive dashboards and reports using Power BI to monitor and visualize key metrics.</p><p>• Utilize SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and consistency.</p><p>• Create Python scripts to automate data workflows, perform analysis, and improve operational efficiency.</p><p>• Partner with stakeholders to understand reporting requirements and translate them into effective technical solutions.</p><p>• Conduct data quality assessments and establish validation protocols to ensure data reliability.</p><p>• Document data processes, methodologies, and technical specifications for future reference.</p><p>• Analyze datasets to uncover trends, patterns, and anomalies, providing actionable insights and recommendations.</p>
<p>We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives.</p><p><br></p><p><strong><em><u>Key Responsibilities</u></em></strong></p><p><br></p><p><strong>Database Design & Management</strong></p><ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul><p><strong>Strategic SQL & Data Engineering</strong></p><ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul><p><strong>Data Pipeline Automation & Orchestration</strong></p><ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul><p><strong>Performance Optimization</strong></p><ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul><p><strong>Data Integrity & Security</strong></p><ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul><p><strong>Documentation</strong></p><ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
We are looking for an experienced Data Engineer to join our team in Newtown Square, Pennsylvania. In this long-term contract position, you will play a pivotal role in designing and implementing robust data solutions to support organizational goals. This is an exciting opportunity to lead the development of modern data architectures and collaborate with diverse teams to drive impactful results.<br><br>Responsibilities:<br>• Lead the implementation of an enterprise Snowflake data lake, ensuring timely delivery and optimal performance.<br>• Oversee the integration of multiple data sources, including Oracle Financials, PostgreSQL, and Salesforce, into a unified data platform.<br>• Collaborate with finance teams to facilitate a transition to a 12-month accounting calendar and support accelerated financial close processes.<br>• Develop and maintain multi-source analytics dashboards to enhance operational insights and decision-making.<br>• Manage day-to-day operations of the Snowflake platform, focusing on performance tuning and cost optimization.<br>• Ensure data quality and reliability, providing business users with a trustworthy platform.<br>• Document architectural designs, data workflows, and operational procedures to support sustainable data management.<br>• Coordinate with external vendors to meet project deadlines and ensure successful implementations.
We are looking for a skilled Data Engineer to join our team in Wayne, Pennsylvania, on a contract to permanent basis. This role offers an exciting opportunity to design, implement, and optimize data pipelines while integrating applications with various digital marketplaces. The ideal candidate will bring strong technical expertise and a collaborative mindset to support business insights and analytics effectively.<br><br>Responsibilities:<br>• Develop and maintain data pipelines and ensure seamless application connectivity with digital marketplaces such as TikTok Shop, Shopify, and Amazon.<br>• Collaborate closely with business teams to understand requirements and provide actionable analytics.<br>• Lead the creation of scalable and efficient data solutions tailored to business needs.<br>• Apply expertise in Python, Snowflake, and other relevant technologies to deliver high-quality results.<br>• Facilitate and support integrations with e-commerce platforms, leveraging previous experience where applicable.<br>• Build robust APIs and ensure their effective implementation.<br>• Utilize Microsoft SQL for database management and optimization.<br>• Provide technical guidance and mentorship to ensure project success.<br>• Troubleshoot and resolve issues related to data workflows and integrations.<br>• Continuously evaluate and improve processes to enhance efficiency and performance.
We are looking for a skilled Salesforce Data Reporting Analyst to join our team on a contract basis in West Conshohocken, Pennsylvania. In this role, you will transform sales performance data into actionable insights, enabling leadership to refine processes and achieve measurable results. This position requires expertise in data analysis, reporting, and visualization, with a strong focus on tools like Power BI, Excel, and Salesforce platforms.<br><br>Responsibilities:<br>• Evaluate and measure the success of sales-enabled programs, including campaigns, events, promotions, and onboarding initiatives.<br>• Develop and maintain measurement frameworks, scorecards, and dashboards to track program performance and identify improvement opportunities.<br>• Analyze customer and practitioner behaviors to uncover trends that drive conversion, retention, and engagement.<br>• Provide insights into optimizing sales and marketing processes, including segmentation, timing, and follow-up strategies.<br>• Create and manage dashboards and data models in Power BI, ensuring accurate and up-to-date reporting.<br>• Perform ad-hoc analyses using advanced Excel techniques, including PivotTables and Power Query, to address leadership inquiries.<br>• Design and deliver thorough and well-structured presentations in PowerPoint, effectively translating complex data into clear recommendations.<br>• Extract and interpret data from Salesforce, leveraging its reporting tools and analytics capabilities.<br>• Maintain consistent documentation of reporting logic and data definitions to ensure reliability and trust in the numbers.<br>• Manage multiple priorities efficiently while delivering high-quality results within deadlines.
<p><strong>Senior Data Engineer</strong></p><p><strong>Location:</strong> Philadelphia, PA (Hybrid/Onsite as required)</p><p><strong>Employment Type: </strong>39 Week Contract, Potential for Extension</p><p><strong>Position Overview</strong></p><p>We are seeking an experienced <strong>Data Engineer</strong> to support the development and ongoing operation of a large-scale, cloud-based IoT platform. This role focuses on building and supporting scalable, secure, and high‑performance infrastructure, tooling, and frameworks that enable engineering teams to efficiently develop, test, deploy, and operate modern microservices.</p><p>The ideal candidate brings strong cloud engineering experience, a passion for quality and security, and the ability to collaborate in a fast‑paced Agile environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop, operate, and support DevOps and platform engineering tools that enable cloud-based IoT services</li><li>Build and promote horizontal tools, frameworks, and best practices supporting microservices, CI/CD, security, monitoring, and performance</li><li>Collaborate with engineering teams to define development standards, workflows, and methodologies</li><li>Design and implement shared libraries and frameworks to support scalable and highly available systems</li><li>Support production platform operations, troubleshooting, and continuous improvement with focus on quality, performance, and security</li><li>Translate system architecture and product requirements into well-designed, tested software solutions</li><li>Work in an Agile environment delivering incremental, high-quality software</li><li>Provide technical guidance and promote modern engineering practices across teams</li></ul>
We are looking for an experienced AML Business Analytics/Data Analyst to join our team in New York, New York. This is a long-term contract position that focuses on evaluating and enhancing data processes within the financial sector. The ideal candidate will have a strong background in data analysis, transaction monitoring, and retail brokerage or wealth management products.<br><br>Responsibilities:<br>• Analyze and monitor financial transactions to identify potential compliance risks and irregularities.<br>• Develop and maintain data requirements and source mapping to support business intelligence and analytics.<br>• Conduct in-depth analysis of retail brokerage and wealth management products to improve operational efficiency.<br>• Document and implement controls to ensure adherence to compliance standards and regulations.<br>• Collaborate with cross-functional teams to draft and refine data requirements for reporting and analysis.<br>• Utilize Microsoft SQL and BusinessObjects technologies to extract and manipulate data for actionable insights.<br>• Leverage business intelligence tools to create comprehensive reports and visualizations.<br>• Apply knowledge of Erwin Data for database modeling and management.<br>• Support compliance and anti-money laundering (AML) efforts through advanced analytics.<br>• Provide insights and recommendations based on data trends and patterns.
We are looking for a skilled and detail-oriented Business Analyst to contribute to the development and improvement of our Global Portal. In this role, you will work closely with diverse teams, including Product Management, IT, Operations, and Business Stakeholders, to create solutions that enhance the digital experience for customers. This is a long-term contract position based in Piscataway, New Jersey.<br><br>Responsibilities:<br>• Analyze and document business, functional, and non-functional requirements by conducting workshops, interviews, and system evaluations.<br>• Develop detailed process maps to identify inefficiencies, gaps, and opportunities for optimization and automation.<br>• Collaborate with cross-functional teams to create and maintain clear use cases and workflow diagrams.<br>• Facilitate alignment among Product Management, Development, QA, and Stakeholders to ensure mutual understanding of priorities and requirements.<br>• Support the testing phase by creating test cases, assisting in execution, and validating results during User Acceptance Testing.<br>• Provide training and knowledge transfer for both internal teams and external customers, ensuring seamless adoption of new features.<br>• Act as a subject matter expert for the Global Portal, ensuring consistency in customer experience across different regions and products.<br>• Partner with change management teams to prepare businesses for new portal enhancements and ensure successful implementation.<br>• Coordinate with Product and Program Managers to monitor project progress, address risks, and manage scope adjustments.
We are looking for an experienced Business Analyst to join our team on a long-term contract basis in Lawrenceville, New Jersey. In this role, you will act as a key liaison between stakeholders and technical teams, ensuring the successful delivery of high-quality solutions that align with business goals. This position offers an exciting opportunity to contribute to process improvements, product development, and stakeholder engagement within the banking industry.<br><br>Responsibilities:<br>• Collaborate with stakeholders in an Agile environment to define project goals, timelines, and deliverables.<br>• Translate business requirements into actionable user stories and prioritize them effectively in the product backlog.<br>• Conduct thorough reviews of business processes, identifying areas for optimization and resolving stakeholder conflicts.<br>• Define clear acceptance criteria and ensure all deliverables meet quality standards before release.<br>• Partner with the development team to ensure alignment on requirements and expectations for new features.<br>• Assist stakeholders with user testing, gather feedback, and address any issues prior to production release.<br>• Analyze support tickets or customer feedback to identify recurring issues and propose solutions.<br>• Continuously refine and plan Product Backlog Items (PBIs) to align with future development cycles.<br>• Lead educational efforts, such as tutorials and presentations, to inform users about significant application updates.<br>• Provide backup support for operational tasks when necessary, ensuring seamless continuity of services.
<p><strong>Data Scientist (Big Data) III – Contractor</strong></p><p><strong>Employment Type:</strong> 27 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>MUST CURRENTLY RESIDE in Philadelphia Region</p><p><strong>Employment Type:</strong> Contract / Temporary</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>The Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.</p><p>The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
We are looking for a skilled Ad Sales Data Analyst to join our team in NYC, New York. In this long-term contract role, you will leverage your expertise in media and advertising analytics to deliver actionable insights and support strategic decision-making. This position is ideal for professionals who thrive in dynamic environments and have a strong background in data analysis within the advertising or media industry.<br><br>Responsibilities:<br>• Analyze and interpret advertising sales data to identify trends, opportunities, and areas of improvement.<br>• Utilize fraud analytics tools and techniques to detect and prevent fraudulent activities within advertising campaigns.<br>• Develop and maintain dashboards and reports to present key metrics and insights to stakeholders.<br>• Collaborate with cross-functional teams to optimize advertising strategies and campaign performance.<br>• Investigate suspected fraud cases and provide detailed reports based on findings.<br>• Apply anti-fraud methodologies to ensure compliance and integrity in advertising sales processes.<br>• Provide actionable recommendations based on data analysis to enhance revenue generation.<br>• Work closely with advertising technology platforms to integrate data solutions and improve operational efficiency.<br>• Stay updated with industry trends and advancements in data analysis and fraud prevention.<br>• Support the implementation of new tools and systems to streamline data processing and reporting.
The Accounting Analyst, a member of the Controller’s Group, is responsible for supporting day to day accounting operations and the monthly close process. This role performs general ledger accounting, account reconciliations, journal entries, and financial reporting activities while ensuring compliance with US GAAP and company policies. The Accounting Analyst works closely with internal stakeholders and supports audits, reporting, and business initiatives for the US and International teams. <br><br>• Prepare and post journal entries for the month end accounting close.<br>• Prepare monthly balance sheet General Ledger account reconciliations. <br>• Prepare monthly financial reporting schedules.<br>• Prepare Accounts Receivable reporting and variance analysis. <br>• Assist with Fixed Asset, CIP, and Lease reporting and management. <br>• Prepare audit schedules.<br>• Prepare financial information supporting Corporate Tax and Risk Department requests.<br>• Manage the accounting for Prepaid Expenses.<br>• Participate on cross functional project teams supporting business initiatives and process improvement opportunities.<br>• Prepare financial analysis of variances to Plan and Forecast<br>• Ensure compliance with US GAAP, internal controls, and company accounting policies <br>• Review SAP transactions for coding consistency and recommend corrective measures.
<p>We are looking for a dedicated Logistics Analyst to oversee and optimize supply chain operations, both domestically and internationally, from our West Caldwell, New Jersey location. This role involves ensuring seamless inventory management, timely deliveries, and compliance with regulatory standards while collaborating with cross-functional teams. The ideal candidate will contribute to the efficiency of warehouse operations and maintain strong relationships with suppliers and logistics partners.</p><p><br></p><p>Responsibilities:</p><p>• Manage inventory processes, including order tracking and shipment coordination, using company systems.</p><p>• Oversee domestic and international logistics to ensure timely pickups, deliveries, and carrier selection.</p><p>• Coordinate supplier onboarding, purchase orders, and procurement activities to maintain operational efficiency.</p><p>• Conduct cycle counts and maintain accurate inventory documentation to support warehouse operations.</p><p>• Monitor international shipping regulations, apply HS codes, and liaise with customs brokers for compliance.</p><p>• Develop cost analysis tools and pricing models to inform sourcing and logistics decisions.</p><p>• Support material handling and warehouse operations, including forklift operation when certified.</p><p>• Assist in preparing quality documentation and inspections to align with company standards.</p><p>• Collaborate with teams across operations, quality assurance, finance, and global departments to streamline processes.</p><p>• Track tariffs and shipping costs to ensure compliance and cost-effectiveness.</p>
We are looking for a skilled Workday Testing Analyst to join our team in King of Prussia, Pennsylvania. In this long-term contract position, you will play a pivotal role in ensuring the accuracy and compliance of system changes, particularly related to Workday purge functionality and data retention processes. Your expertise will contribute to maintaining high standards of performance, reliability, and security within the Workday system.<br><br>Responsibilities:<br>• Develop and implement comprehensive test plans and procedures for Workday integrations and purge functionality.<br>• Create detailed test scripts and generate test data to ensure accurate validation of system processes.<br>• Oversee all testing activities, including execution, documentation, and tracking of issues.<br>• Validate data retention processes and purge logic within Workday to ensure compliance with organizational policies.<br>• Conduct usability testing to evaluate system performance, scalability, reliability, and security.<br>• Document and monitor testing progress and results, providing detailed reports to stakeholders.<br>• Collaborate closely with configuration and compliance teams to ensure thorough testing coverage.<br>• Participate in project meetings and deliver status updates to managers and team leads.<br>• Escalate any testing-related issues promptly to ensure timely resolution.<br>• Maintain a structured and organized approach to testing tasks, adhering to deadlines and project goals.
<p>A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals.</p><p><br></p><p><strong>Primary Responsibilities:</strong></p><ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul><p><br></p>
<p>Our client is looking for a detail-oriented Financial Sales Analyst to join their team in the Lansdale, Pennsylvania area. This role focuses on delivering insightful financial analysis and reporting to support strategic sales initiatives in a dynamic, commodity-driven market. The ideal candidate will excel at leveraging data to enhance decision-making, optimize pricing strategies, and improve overall financial performance.</p><p><br></p><p>Responsibilities:</p><p>• Analyze weekly sales profit and loss statements to identify key variances and determine underlying causes.</p><p>• Lead budgeting and quarterly forecasting efforts, collaborating with stakeholders to ensure alignment with strategic goals.</p><p>• Partner with the Retail Sales VP and cross-functional teams on critical business initiatives.</p><p>• Provide support for pricing strategies, including broker commission reporting and margin analysis.</p><p>• Monitor commodity market trends, particularly in pork, to evaluate potential impacts on sales.</p><p>• Derive actionable insights from internal and external data to inform trade and promotional planning.</p><p>• Manage promotional accruals and maintain accurate customer and product hierarchies.</p><p>• Utilize advanced business intelligence tools to create dashboards and enhance reporting processes.</p><p>• Conduct data mining and analysis to uncover opportunities for improving financial performance.</p>
<p>A large academic institution is seeking a proactive and strategic <strong>Business Process Analyst</strong> to evaluate, optimize, and support business operations related to its <strong>Salesforce Service Cloud</strong> platform. This individual will work closely with department heads and stakeholders across multiple departments, providing insight and recommendations to improve student-facing services, advisor workflows, and internal processes.</p><p>This role will serve as a key bridge between business operations and technical development, helping to ensure the institution is making the most effective and efficient use of its Salesforce platform.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Evaluate existing workflows, procedures, and systems related to Salesforce Service Cloud</li><li>Conduct process mapping and gap analysis to identify inefficiencies and recommend improvements</li><li>Collaborate with department leaders to advise on optimal usage of Salesforce for case management, student support, knowledge management, and agent automation</li><li>Support the configuration and optimization of Service Cloud agents, case routing, and automation processes</li><li>Lead discovery sessions and conduct interviews with advisors, student support teams, and administrators to understand current-state operations</li><li>Research best practices in higher education, particularly in how academic advising and student services are delivered using CRM tools</li><li>Serve as a liaison between functional departments and the Salesforce technical team to translate business needs into system enhancements</li><li>Track and document recommendations, create standard operating procedures (SOPs), and assist in training efforts across departments</li><li>Support the broader implementation of Salesforce Service Cloud across academic and administrative units</li></ul><p><br></p>
<p><strong>Technical Business Analyst III</strong></p><p><strong>Location:</strong> Philadelphia, PA (Hybrid – onsite 3-4x a week)</p><p><strong>Employment Type:</strong> 38 Weeks, ASAP-12/31/2026 with potential extension</p><p><strong>Role Overview</strong></p><p>The Technical Business Analyst III supports large-scale mobile and eCommerce platforms by translating business needs into clear, actionable technical requirements. This role partners closely with product, engineering, UX, and testing teams to deliver high-quality customer-facing solutions.</p><p><strong>Key Responsibilities</strong></p><ul><li>Define and document business and technical requirements, including user stories, workflows, APIs, and data mappings</li><li>Create and groom front-end and back-end user stories in Jira with acceptance criteria and integration details</li><li>Develop Swagger (OpenAPI) specifications and JSON API payloads</li><li>Analyze third-party APIs and system integrations</li><li>Collaborate with cross-functional teams throughout design, development, testing, and deployment</li><li>Support testing activities by validating delivered functionality against requirements</li><li>Participate in Agile ceremonies and contribute to sprint planning and execution</li><li>Create product and customer journey documentation, including digital communications (email/SMS)</li></ul>
<p>90,000 – 110,000</p><p> </p><p>My client, a privately held food manufacturing and ingredients company, in Morristown NJ has an opportunity for a Senior Financial Analyst. This is a hybrid opportunity (2 days in office).</p><p> </p><p>Benefits:</p><ul><li>Hybrid</li><li>Medical</li><li>Dental</li><li>Vision</li><li>Paid time off</li></ul><p> </p><p> </p><p>RESPONSIBILITIES</p><ul><li>Maintained and enhanced BluePlanner to ensure accurate pricing, promotions, customer hierarchies, and trade budgets, applying best practices in process improvement and data integrity. </li><li>Provided hands-on support to Sales Managers, guiding tool navigation and system functionality, and championing user adoption. </li><li>Audited and optimized system entries, proactively identifying discrepancies and driving continuous improvement.</li><li>Conducted post-promotional analysis using syndicated data (e.g., IRI), calculating ROI, identifying performance drivers, and recommending actionable improvements. </li><li>Led quarterly trade reviews, collaborating with Sales Managers to highlight insights, review ROI, and define corrective actions.</li><li>Maintained and optimized reporting tools and dashboards, supporting Sales, Business Systems, and Operations teams. </li><li>Identified opportunities to automate, standardize, and streamline reporting processes, driving operational efficiency. </li><li>Translated complex data into clear, actionable insights and recommendations for cross-functional teams.</li></ul><p><br></p>
<p><strong>Senior Pricing Analyst </strong></p><p> </p><p>A client of is looking for a Senior Pricing Analyst for a contract to full-time role. As the Senior Pricing Analyst , you play a critical role in supporting the pricing strategy by analyzing market conditions, developing pricing models, and providing data‑driven insights that enhance profitability and competitive positioning. This role partners closely with Sales, Finance, and cross‑functional teams to ensure pricing decisions align with business objectives and customer value. </p><p><br></p><p><strong>Responsibilities of Senior Pricing Analyst </strong></p><ul><li>Design, maintain, and enhance pricing models and analytical tools to support strategic pricing decisions and forecasting.</li><li>Analyze market trends, competitive dynamics, and customer behavior to recommend pricing strategies that drive revenue and margin performance.</li><li>Identify pricing optimization opportunities by evaluating product costs, demand patterns, elasticity, and customer segmentation.</li><li>Collaborate with Sales and internal stakeholders to review pricing actions, support deal structuring, and provide customized pricing guidance.</li><li>Prepare and present pricing insights, performance metrics, and recommendations to leadership and key business partners.</li><li>Monitor economic and industry indicators and translate findings into actionable pricing recommendations.</li><li>Maintain accurate pricing documentation, controls, and data governance to support audit and compliance requirements.</li><li>Act as a pricing subject‑matter resource, supporting best practices, process improvements, and knowledge sharing across teams.</li><li>Perform additional related duties as assigned to meet business needs.</li></ul>
<p><strong>AWS Big Data Architect (with Hadoop) </strong></p><p><strong>Location:</strong> Hybrid 4x Onsite – Philadelphia, PA</p><p><strong>Contract Duration: </strong>Through December 31, 2026</p><p><strong>Employment Type:</strong> W2 Contract</p><p><strong>Overview</strong></p><p>We are seeking a highly skilled <strong>AWS Big Data Architect / Senior Data Engineer</strong> to design, develop, and deliver scalable Big Data Warehouse solutions. This is a hands-on role suited for someone who is passionate about technology, thrives in a collaborative environment, and can work effectively with both technical and non-technical stakeholders. The ideal candidate excels in fast-paced settings and is committed to producing high-quality, impactful results.</p><p>This role offers the opportunity to collaborate with engineering teams across the enterprise and influence broader data and technology strategies.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop scalable Big Data Warehouse solutions across the full data supply chain.</li><li>Build and implement metadata management solutions.</li><li>Create and maintain technical documentation, user documentation, data models, data dictionaries, glossaries, process flows, and architecture diagrams.</li><li>Enhance and expand the enterprise Data Lake environment.</li><li>Solve complex data integration challenges across multiple systems.</li><li>Design and execute strategies for real-time data analysis and decision-making.</li><li>Collaborate with business partners, analysts, developers, architects, and engineers to support ongoing data quality initiatives.</li><li>Work closely with Data Science teams to improve actionable insights.</li><li>Continuously expand knowledge of new tools, platforms, and technologies.</li></ul>