We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies.<br><br>Responsibilities:<br>• Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making.<br>• Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL.<br>• Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems.<br>• Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs.<br>• Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency.<br>• Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions.<br>• Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption.<br>• Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
<p>We are looking for a Data Engineer to join a team focused on building reliable, scalable data solutions. In this role, you will create and enhance cloud-based data pipelines, organize data for analytics, and help ensure that business teams have access to trusted information. This position also partners closely with technical and non-technical stakeholders to turn reporting and data needs into practical engineering outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Create and support scalable data ingestion and transformation workflows using Azure Data Factory, Databricks, and PySpark.</p><p>• Connect and consolidate data from enterprise platforms, operational databases, telematics feeds, APIs, and other internal or external sources.</p><p>• Structure and manage data within Azure Data Lake and lakehouse environments to support performance, accessibility, and long-term maintainability.</p><p>• Design curated datasets, data models, and schemas that improve usability for analytics, business intelligence, and downstream reporting.</p><p>• Apply governance and lineage practices through Unity Catalog while promoting strong data quality, consistency, and security standards.</p><p>• Work with business stakeholders and cross-functional teams to gather requirements, define technical specifications, and deliver data solutions aligned with operational needs.</p><p>• Improve pipeline stability and efficiency by troubleshooting failures, resolving performance issues, and refining storage and query strategies.</p><p>• Support Power BI reporting by preparing datasets, assisting with model improvements, and helping maintain reporting standards and governance practices.</p><p>• Use GitHub-based development practices for version control, peer review, CI/CD, and disciplined deployment processes.</p><p>• Mentor less-experienced engineers and contribute to a collaborative environment focused on continuous improvement and dependable delivery.</p>
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><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>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
We are looking for a detail-oriented Data Specialist to join a retail food organization in Matawan, New Jersey on a contract basis with the potential for a permanent role. This position supports the accuracy, organization, and upkeep of critical business data while partnering with teams across the company to maintain reliable information and resolve discrepancies. The ideal candidate is analytical, highly organized, and comfortable balancing data administration, issue resolution, and cross-functional communication in a fast-paced office environment.<br><br>Responsibilities:<br>• Maintain accurate product, vendor, store, and employee records across internal databases and business systems.<br>• Set up new item information for merchandising teams and update existing records to reflect current business needs.<br>• Review promotional data and offers carefully, identifying inconsistencies and making corrections before release.<br>• Examine data across multiple applications to verify completeness, consistency, and overall quality standards.<br>• Investigate data-related issues, determine underlying causes, and coordinate fixes with internal stakeholders, including IT when needed.<br>• Perform routine audits and monitor daily reports to detect errors, address exceptions, and support data governance practices.<br>• Assist with system testing, validation activities, and the rollout of data updates to ensure dependable results.<br>• Provide guidance to colleagues on data processes, explain how information flows through business operations, and support training material preparation.
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p><br></p><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
<p><strong>Data Reporting Analyst</strong></p><p>We are seeking a Data Reporting Analyst to support business reporting and data visualization initiatives. This role will focus on building and maintaining dashboards that provide insight into operational performance, SLAs, and KPIs. The position is an ongoing contract with potential for conversion and follows a hybrid work schedule.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain Power BI dashboards to support business and IT reporting needs</li><li>Analyze and interpret data to track SLAs, KPIs, and operational performance</li><li>Partner closely with the IT Director to review trends, metrics, and reporting requirements</li><li>Ensure data accuracy, consistency, and usability across reports and dashboards</li><li>Support ongoing reporting enhancements and ad-hoc data analysis requests</li></ul><p><br></p>
<p>We are looking for a Financial Data Analyst to support analytical and reporting activities in New Jersey. This long-term contract position is well suited for an entry-level candidate or early-career individual who brings strong Excel capabilities, a solid understanding of market concepts, and a sharp eye for interpreting complex financial information. The role offers the opportunity to work with financial data, evaluate text-based content, and contribute to accurate analysis across multiple systems and tools.</p><p><br></p><p>Responsibilities:</p><p>• Analyze financial datasets to identify patterns, inconsistencies, and meaningful insights that support business decisions</p><p>• Review and interpret unstructured financial text and convert key details into organized, usable information</p><p>• Prepare spreadsheets, summaries, and recurring reports using advanced Microsoft Excel functions and formulas</p><p>• Enter, validate, and maintain numeric financial information with a high level of accuracy and attention to detail</p><p>• Work across various financial software platforms to gather data, update records, and support analysis requests</p><p>• Assist with market-related research by monitoring financial information and compiling findings for internal stakeholders</p>
<p>The ERP Business Analyst serves as the primary liaison between business stakeholders and ERP delivery teams, specializing in a specific functional area of the business (e.g. Accounting & Finance, Supply Chain, Manufacturing, etc). This role bridges business needs and ERP system capabilities, translating complex requirements into scalable, value driven solutions. The analyst plays a key role in Company's SAP S4Hana implementations, enhancements, and ongoing optimization, ensuring alignment with business processes, enterprise standards, and strategic objectives.</p><p><br></p><p>Business Analysis & Process Design</p><p>• Partner with business leaders, business process leads and subject matter experts within the assigned domain to understand solution objectives, challenges, and regulatory/operational constraints.</p><p>• Elicit, analyze and document business requirements using interviews, workshops, and process reviews.</p><p>• Develop current state and future state, user stories, process maps, functional requirements, and business rules.</p><p>• Identify opportunities to standardize, streamline, and optimize business processes / workflows using ERP best practices in a regulated manufacturing environment.</p><p><br></p><p>ERP & SAP Functional Expertise</p><p>• Serve as the ERP functional expert for the assigned business domain, with strong working knowledge of SAP solutions relevant to that area.</p><p>• Translate business requirements into detailed functional specifications for SAP configuration, enhancements, and integrations.</p><p>• Collaborate with SAP configuration, development, integration, OCM and data teams to design end to end solutions.</p><p>• Advise stakeholders on SAP capabilities, limitations, design alternatives, and impacts to upstream, downstream and cross stream processes.</p><p><br></p><p>Project Delivery & Implementation Support</p><p>• Serve as a functional advisor on designs for Company's initial SAP S4H implementation.</p><p>• Support ERP initiatives across the full lifecycle: planning, design, build, test, training and deployment.</p><p>• Lead or support system integration testing (SIT) and user acceptance testing (UAT), including test case development, execution, and defect resolution.</p>
<p>We are seeking an experienced <strong>Business Analyst</strong> with a strong background in the <strong>Property & Casualty Insurance</strong> industry to support complex technology initiatives. This role will partner with business stakeholders, technical teams, and third-party vendors to gather, analyze, and document functional requirements for underwriting, claims, and data-focused projects.</p><p>The ideal candidate brings deep knowledge of the <strong>P&C insurance domain</strong>, particularly underwriting operations and policy administration, along with strong technical analysis skills and the ability to translate business needs into clear requirements.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Gather, analyze, and document business and functional requirements for complex IT projects.</li><li>Work closely with business users, developers, architects, QA teams, infrastructure teams, and software vendors to ensure requirements are clearly defined and delivered on time.</li><li>Support initiatives related to <strong>underwriting</strong>, <strong>claims applications</strong>, <strong>data integration</strong>, and <strong>data quality</strong>.</li><li>Translate business processes and needs into detailed functional specifications, workflows, and use cases.</li><li>Partner with stakeholders to improve system functionality and support business objectives across the insurance policy lifecycle.</li><li>Assist with requirements validation, testing support, and issue resolution throughout the project lifecycle.</li><li>Identify opportunities where technology can improve operational efficiency and business outcomes.</li></ul><p><br></p>
<p>We are seeking detail-oriented Financial Data Analysts to support data validation, quality assurance, and maintenance of financial datasets. This role requires strong attention to detail, the ability to follow structured processes, and consistency in executing defined workflows. The ideal candidate is comfortable working with large volumes of data while maintaining a high level of accuracy in a fast-paced environment.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Maintain and ensure the accuracy and completeness of assigned financial datasets</li><li>Review, validate, and update structured data based on established guidelines and procedures</li><li>Execute process-driven tasks with precision and consistency</li><li>Perform quality assurance checks to identify discrepancies or data issues</li><li>Document updates, findings, and exceptions clearly for tracking and audit purposes</li><li>Collaborate with team members to meet productivity and quality targets</li></ul><p><br></p>
<p><strong><em>Robert Half is partnering with our client in this search, a Fortune 500 leader in the telecommunications and media industry, to hire a Content Strategist to support enterprise digital experiences.</em></strong></p><p><br></p><p><strong>Location: </strong>Philadelphia, PA (onsite 4 days/week, 1 day remote)</p><p><strong>Duration</strong>: 7-month contract</p><p><strong>Hours</strong>: 40 hours/week</p><p><strong>Pay Rate:</strong> $40–43/hour (W2)</p><p><br></p><p><strong>Position Overview:</strong></p><p>The Content Strategist will drive content governance, editorial quality, and scalable operations across a complex digital ecosystem. This role is ideal for a detail-oriented professional with strong systems thinking and experience working within enterprise design systems. Blending strategy and execution, the position ensures content aligns with global standards, supports Answer Engine Optimization (AEO), and delivers consistent, high-quality user experiences within a collaborative Experience Design and Digital Marketing organization.</p><p><br></p><p><strong><em>AEO & Design System Support</em></strong></p><ul><li>Audit and optimize taxonomy, metadata, and structured content to improve discoverability and support AEO and personalization strategies</li><li>Identify content gaps and recommend enhancements to improve visibility in AI-generated summaries and search experiences</li><li>Tag and structure content in alignment with enterprise taxonomy and global content strategy</li><li>Document and maintain content specifications and usage guidelines within the design system</li><li>Manage and update content templates, ensuring consistency across all digital properties and vendor deliverables</li><li>Partner cross-functionally to evolve editorial standards and maintain a cohesive style guide</li><li>Support sitewide governance initiatives to drive consistency, scalability, and compliance</li><li>Own end-to-end QA for content updates, including thought leadership, merchandising, and page-level changes</li></ul><p><br></p><p><strong><em>Editing & Quality Assurance</em></strong></p><ul><li>Conduct sitewide audits to identify inconsistencies, gaps, and opportunities for improvement</li><li>Collaborate with stakeholders to prioritize and implement content updates within BAU workflows</li><li>Ensure accuracy and alignment of copy across design files and production environments</li><li>Proofread and edit content for clarity, consistency, and adherence to brand standards</li><li>Proactively improve editorial quality and maintain long-term content integrity</li></ul><p><br></p><p><strong><em>Merchandising & Content Support</em></strong></p><ul><li>Support ongoing content updates tied to merchandising, campaigns, and enterprise learning initiatives</li><li>Maintain and update thought leadership and event-related content across the site</li><li>Manage time-sensitive and high-priority content requests</li><li>Contribute to documentation and processes that support scalable content operations</li></ul>
<p><strong>Machine Learning Engineer</strong></p><p><strong>Pay: </strong>Available on W2 Basis</p><p><strong>Consultant I (Contractor)</strong></p><p><strong>Work Location:</strong> Philadelphia, PA Hybrid, 4x Onsite</p><p><strong>Engagement Type: </strong>34 Week Contract, Potential for Extension or Conversion</p><p><strong>Position Overview</strong></p><p>We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
We are looking for an experienced Business Analyst III (Contractor) to support cross-functional initiatives by connecting business objectives with effective technology solutions in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can evaluate operational needs, shape clear requirements, and guide collaboration between business stakeholders and IT teams. The role calls for strong analytical thinking, effective communication, and the ability to turn broad business goals into practical, well-defined outcomes.<br><br>Responsibilities:<br>• Partner with business stakeholders and technology teams to clarify objectives, identify needs, and align solution planning with operational priorities.<br>• Examine current business processes to uncover inefficiencies, risks, and opportunities for improved automation and performance.<br>• Produce clear business and functional documentation that translates stakeholder expectations into actionable guidance for technical teams.<br>• Support process redesign efforts by mapping workflows, defining future-state approaches, and documenting recommended changes.<br>• Facilitate discussions among business units and IT partners to build consensus, resolve issues, and maintain forward progress from requirements through delivery.<br>• Manage updates to requirements and specifications as project needs evolve, ensuring documentation remains accurate and traceable.<br>• Communicate business strategy, priorities, and operational context to technical teams so proposed solutions reflect organizational goals.<br>• Assess available technology options and contribute informed recommendations, including input on whether solutions should be purchased or developed internally.<br>• Assist with implementation activities by validating that delivered solutions meet agreed business needs and functional expectations.