Data analyst jobs in Cherry Hill, NJ

NAPCO Media (*************** a subsidiary of PRINTING United Alliance (*************************** is a fast-paced B2B media organization serving the printing, retail, and nonprofit industries. We specialize in the creation and cross-channel distribution of exceptional content on print and digital platforms such as newsletters, magazines, podcasts, social media, and events. Our mission is to build community between the audiences and clients we serve. Role Summary We are seeking a technical, production-focused Data Analyst to cover a 3-month leave. This role requires someone who can immediately take on survey programming, data cleaning, cross-tabulation, and chart creation with minimal ramp-up. This is not a general market research position - candidates must have hands-on experience with the specific tools and workflows listed below. Core Responsibilities Program surveys in SurveyMonkey, including advanced logic, piping, randomization, and QA. Manage collectors, fielding, troubleshooting, and survey flow validation. Clean and structure raw survey data in Excel (remove bad responses, combine datasets, build clean tables). Create segmented databooks (cross-tabs, banner tables) based on internal specifications. Build PowerPoint chart decks using provided templates and brand formatting. Perform QA on surveys, datasets, and charts to ensure accuracy and consistency. Work closely with the research team to deliver accurate, on-time backend outputs. Required Skills Strong, proven experience with SurveyMonkey programming (not just taking surveys - full setup and logic). Advanced Excel skills for cleaning, organizing, and segmenting data. Experience producing cross-tabs and analyzing survey-based datasets. Strong PowerPoint skills, especially charts and visual formatting. High attention to detail, independence, and reliability. Preferred Experience Prior work in research operations, data processing, or survey analytics. Experience with B2B or market research studies. Familiarity with external survey panels (helpful but not required). Experience with Q software (helpful but not required). Assignment Details Schedule: 30-40 hours/week Duration: 3 months Location: Remote Start: ASAP Focus: Pure production work (no client communication or project management) Email resume to ************. We strive to develop and retain a diverse, equitable, and inclusive workplace where all employees feel they are respected, treated fairly and given equal opportunity to excel in their careers. NAPCO Media is committed to providing equal opportunity for employees and applicants in all aspects of the employment relationship, without regard to race, religion, color, age, gender (including pregnancy, childbirth, or related medical conditions), marital status, parental status, sexual orientation, gender identity, gender expression, ancestry, national origin, citizenship, political affiliation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment decisions are decided on the basis of qualifications, merit, and business needs.

Our client is seeking a detail-oriented Data Integration & Material Mapping Specialist to support a critical acquisition integration project. This role involves transforming incoming material, product, and PDF-based information into company-standard templates and terminology. If you excel at highly tactical, structured work and love ensuring data accuracy, this is an ideal short-term assignment. Duration: 2-3 Months (Early January Start) Schedule: 3 Days Onsite per Week (Ewing, NJ) Commitment: Must be able to commit to the full contract with no vacations or breaks Key Responsibilities Prepare and organize data and information from an acquisition for upload into company systems Perform material description enrichment and transformation into company-standard terminology Map PDF data into internal load templates with high accuracy Execute structured, rules-based data transformation tasks Ensure all information follows predefined data standards and formatting guidelines Perform precise data entry using templates (Excel-focused; “glorified Excel”) Support overall acquisition integration tasks and documentation Required Skills & Experience Strong attention to detail and ability to follow strict data rules Excellent Excel and MS Office skills Experience working with templates and high-volume data entry Ability to interpret PDFs and accurately map data into company formats Prior material data experience is a significant plus Comfortable with tactical, structured workloads

(contractor) with project funding for 3.5 years. The Future of Data Sharing Programme is central to GS1's Vision 2030 - building a globally unified, interoperable and trusted data ecosystem that powers AI-enabled supply chains, supports sustainability data exchange and reinforces digital trust. As Technical Business Analyst - AI & Sustainability Data, you will serve as a data architect and ontology specialist, helping GS1 move from traditional data exchange to semantic, machine-readable and AI-ready data infrastructures. You will design and document the data models, ontologies and governance rules that ensure GS1 registries become the reliable “source of truth” for industry and regulators. This is a unique opportunity to combine hands-on data modelling with global impact - helping define how trusted data will power AI, sustainability, environmental transparency and digital transformation across industries. Responsibilities include the following: Design semantic foundations - Lead the development and maintenance of ontologies, taxonomies and canonical data models aligned with GS1 standards and industry vocabularies. Translate business concepts into data - Work with domain experts and Member Organisations to extract meaning, model relationships and represent business entities in precise, interoperable formats. Specify interoperable data structures - Define and validate linked-data outputs (e.g. RDF, OWL, JSON-LD, SKOS), metadata schemas and API contracts supporting GS1 Registries and data services. Embed data quality by design - Establish validation rules, provenance metadata and governance controls to ensure trustworthy, machine-actionable data for AI and analytics. Support architecture and delivery - Collaborate with product owners, programme leads and technical teams on solution design, requirements, testing and rollout. Align and influence - Engage Member Organisations and partners to harmonise semantic models and promote consistent implementation across the federation. Communicate value - Produce clear technical summaries, architecture documents and executive briefings that demonstrate how GS1 data supports AI and sustainability use cases. Education/experience Bachelor's or Master's degree in Information Science, Knowledge Engineering, Computer Science, Data Architecture or related field. 4-6 years' experience in data modelling, ontology development, semantic data integration or information architecture, ideally in international or standards-based environments. Excellent collaboration and communication skills - able to bridge technical and business perspectives and explain complex concepts clearly. Strategic mindset with a passion for AI, sustainability and data trust, and a drive to make technical concepts deliver real-world impact. Skills Must Have Practical experience with ontology and taxonomy tools (e.g. Protégé) and linked-data technologies (RDF, OWL, JSON-LD, SKOS). Familiarity with modern data platforms, API design and data exchange standards. Must be fluent in English, oral and written. Fluency in other languages is helpful. Strong organisational, analytical, verbal, and written communication skills. Demonstrates passion, energy, and drive in their work. Excellent time management skills and flexibility to cater for commitments across multiple time zones. Operates in a manner that demonstrates honesty; keeps promises and honours commitments; behaves in a consistent manner. Nice to Have Understanding of metadata design, data governance, interoperability frameworks and knowledge graph architectures. Interest or experience in sustainability standards, ESG reporting frameworks, lifecycle or circularity data, product environmental foot printing or related domains. This job may require up to 10% global travel. This is a hybrid role with a minimum of 4 to 8 days per month in Ewing, NJ office, or remote for other locations in the US. IMPORTANT! Please do not contact hiring managers. Apply through LinkedIn Recruiter and we will be in touch if you are a good fit. GS1 Overview GS1 develops and maintains the most widely used supply chain standards that are fundamental to numerous enterprises around the world. The best-known symbol of GS1 standards is the barcode, named by the BBC as one of “the 50 things that made the world economy”. Five decades ago, we started by helping food retailers do business more efficiently and reduce consumer prices. Today, GS1 standards improve the efficiency, safety, and visibility of supply chains across physical and digital channels in 25 sectors, including retail omnichannel and e-commerce, healthcare, transport and logistics, food service, technical industries, and humanitarian logistics. Our scale and reach - local Member Organisations (MO) in 120 countries, 2 million user companies, and 10 billion transactions every day - help ensure that GS1 standards create a common language that supports systems and processes across the globe. GS1 is an Equal Opportunity Employer. We will never unlawfully discriminate on the grounds of race, religion, belief, ethnic origin, colour, nationality, gender, gender reassignment, sexual orientation, age, disability, marriage and civil partnership, pregnancy, maternity, or political opinions.

Vertex is a US-based tech company with 15 years' experience in Microsoft, Salesforce, BI, AI, and Cloud Computing. We have earned longstanding client relationships as trusted, long-term partners. Every day we inspire, innovate, and implement solutions that solve complex business problems using creativity and technologies that drive results. About the Role The Salesforce Business Analyst will act as a bridge between business stakeholders and technical teams, ensuring Salesforce solutions meet organizational goals. This role requires deep expertise in Salesforce Clouds, strong analytical skills, and the ability to document and capture business requirements to align with Salesforce Solution. Responsibilities Requirements regarding Gathering & Analysis: Collaborate with business stakeholders to understand processes, scope and pain points. Document functional requirements, user stories, and acceptance criteria. Align requirements working with Salesforce solution team. Conduct business gap analysis & FIT Gap analysis. Ability to run Salesforce reports and dashboards and perform data analysis. Own Requirements end to end. Solution Design & Validation: Work closely with architects and developers to share requirements and provide clarity on solutions. Validate solutions against business needs and Salesforce best practices. Conduct demo and smoke testing of delivered solutions. Process Optimization: Identify opportunities for automation and process improvements within Salesforce. Business gaps of processes (to be and current state). Testing & Quality Assurance: Support UAT, triage defects, smoke test, validate defects, and ensure successful deployment. Stakeholder Communication: Act as a liaison between business and technical teams, ensuring clear communication and alignment. Training & Documentation: Prepare user guides and conduct training sessions for end-users. Qualifications Experience: 12+ years in IT with at least 8 years as a Salesforce Business Analyst. Proven experience in multi-cloud Salesforce implementations. Certifications: Minimum two Salesforce certifications: Salesforce Admin, Sales Cloud consultant is mandatory to have. Technical Knowledge: Strong understanding of Salesforce data model, automation tools (Flows, Process Builder), and reporting. Familiarity with integration tools and data migration strategies. Ability to create reports & dashboards in Salesforce. Ability to download Salesforce data using data loader. Ability to work within Excel Sheet Pivot tables, VLOOKUP. Analytical & Communication Skills: Excellent problem-solving, documentation, and stakeholder management skills.

This role acts as a critical liaison between product managers, engineering, operations, and business stakeholders, ensuring that new features and enhancements are delivered effectively and aligned with business objectives. • Be the bridge between product, engineering, QA, and operations, ensuring alignment and shared understanding at every step from solutioning to delivery. • Collaborate closely with engineers throughout the product development cycle, from concept ideation to deployment and supporting UAT to ensure features meet business and technical requirements. • Help capture and refine business requirements by working with cross-functional stakeholders. • Gather input to define product concepts and contribute to roadmap planning. Author detailed, user-centric requirements and user stories that position our development team for success. • Lead and facilitate cross-functional working sessions to discover and prioritize the right platform capabilities. • Assist in executing pilots and trials, including post-trial measurement. • Provide functional and technical troubleshooting for existing applications and perform fixes/enhancements as needed. • Support data instrumentation and analytics, including collection and analysis of KPIs across platform capabilities. • Monitor feature progress, identify risks, and communicate updates to program and product leaders.

Title: Data Scientist Duration: Direct Hire Schedule: Hybrid (Mon/Fri WFH, onsite Tues-Thurs) Interview Process: 2 rounds, virtual (2nd/final round is a case study) Salary Range: $95-120k/yr (with benefits) Must haves: 1yr min professional/post-grad Data Scientist experience, and knowledge across areas such as Machine Learning, NLP, LLMs, etc Proficiency in Python and SQL for data manipulation and pipeline development Strong communication skills for stakeholder engagement Bachelor's Degree Plusses Master's Degree Azure experience (and/or other MS tools) Experience working with healthcare data, preferably from Epic Strong skills in data visualization, dashboard design, and interpreting complex datasets Day to Day: We are seeking a Data Scientist to join our clients analytics team. This role focuses on leveraging advanced analytics techniques to drive clinical and business decision-making. You will work with healthcare data to build predictive models, apply machine learning and NLP methods, and optimize data pipelines. The ideal candidate combines strong technical skills with the ability to communicate insights effectively to stakeholders. Key Responsibilities Develop and implement machine learning models for predictive analytics and clinical decision support. Apply NLP and LLM techniques to extract insights from structured and unstructured data. Build and optimize data pipelines using Python and SQL for ETL processes. Preprocess and clean datasets to support analytics initiatives. Collaborate with stakeholders to understand data needs and deliver actionable insights. Interpret complex datasets and provide clear, data-driven recommendations.

Role: Data Scientist Contract: W2 Only (No chance of C2C) 6+ Years experience will work for this role This person would be helping to support an expanding scope of work involving GenAI and contract intelligence. This falls into the PBM underwriting group. Focus: Core data science (not data engineering or MLOps) they do not want someone who gives off a lot of ML engineering they want more core data science. Key Responsibilities · Apply traditional machine learning (e.g., decision trees, forecasting) · Work with GenAI to extract insights from contract documents · Use Python extensively for data processing and modeling · Collaborate and communicate effectively on nuanced, domain-specific language Required Skills -Strong Python/ Pandas -SQL (dont need to be as strong here) -Gen AI (prompt engineering experience is a plus) -ML -Statistical experience -Core data science skills (random trees, forecasting, etc.)

Job Title: Senior Marketing Data Analyst Company: Pond Lehocky About Us: Pond Lehocky is a prominent law firm dedicated to advocating for clients in workers' compensation and personal injury cases. We pride ourselves on our fast-paced, data-driven marketing culture and are seeking a Senior Marketing Data Analyst to help us leverage data for strategic decision-making and improved client engagement. Position Overview: As a Senior Marketing Data Analyst, you will be an integral part of our marketing team, partnering with cross-functional teams throughout the entire lifecycle of data analysis. You will transform complex datasets into actionable insights, guiding our marketing strategies and enhancing our overall performance. Key Responsibilities: Collaborate with various teams on data science initiatives, from ideation and exploratory analysis to running experiments and building dashboards and reports. Analyze complex datasets to identify trends and develop actionable insights that align with business objectives. Develop, own, and manage recurring analytical and reporting processes. Prepare and deliver visualizations and presentations that communicate analytic insights in a clear and impactful manner to both technical and non-technical stakeholders. Proactively convey complex analytical findings, ensuring clarity and understanding across teams. Qualifications: Personal Attributes: Data-driven, intellectually curious, and technically rigorous with a strong ability to communicate insights clearly. Eager to learn and embrace new technologies and solutions. Solid understanding of marketing concepts, including advertising, distribution, and campaign strategies. A collaborative team player with a positive outlook, eager to uplift and energize those around you. Key Competencies: Marketing Analytics: Familiarity with various marketing channels and their impact on business performance. Knowledge of industry trends and best practices in marketing analytics. Experience with experiment design, including A/B testing and multi-touch attribution modeling. Expertise in analyzing marketing performance metrics and calculating ROI. Statistical Modeling and Analysis: Proficient in predictive modeling, cluster analyses, marketing mix modeling, and multi-touch attribution modeling Experience with statistical software such as SQL, R, Python, and Power BI. Nice to Haves: Experience in data visualization and familiarity with Salesforce. Knowledge of marketing research methodologies and tools. Experience with: Social Media Marketing, Out-Of-Home (OOH) Marketing, Search Engine Optimization (SEO), Conversion Rate Optimization (CRO), Over-The-Top (OTT) Advertising and Broadcast TV Marketing Experience in developing and implementing machine learning algorithms for predictive insights. Ability to translate business requirements into AI/ML models, delivering actionable insights and solutions that support strategic decision-making. Strong grasp of supervised and unsupervised learning methods, feature engineering, and model performance optimization.

About This Role: At hMetrix, we are transforming healthcare through data-driven solutions. We're looking for a Senior Healthcare Data Analyst to collaborate with and mentor talented hybrid teams of up to five healthcare policy experts, analysts, software developers, and data architects. In this role, you will be the crucial bridge between business needs and technical solutions. You will leverage cutting-edge technologies to design and implement innovative systems that support an efficient, secure, and stable healthcare data ecosystem for our clients. Your success will be measured by the value we deliver to providers, payers, HIEs, state governments and their communities. What You'll Do: Strategy & Collaboration Collaborate with and mentor your team of analysts, developers, and data architects. Develop and maintain a roadmap for our project data infrastructure, ensuring it aligns with business goals and industry best practices. Collaborate with business stakeholders to gather requirements and translate them into technical specifications. Technical Execution & Data Pipelines Review proposed data processing pipelines (including data warehouses and ETL processes) to ensure performance, scalability, and reliability. Maintain and optimize robust data pipelines using modern ETL tools for efficient data ingestion and processing. Prioritize and manage project data flows to ensure timely delivery and effective resource allocation. System Performance & Governance Oversee monitoring and alerting systems to proactively identify and resolve potential issues. Proactively monitor system performance, identifying and resolving bottlenecks in our analytic applications. Contribute to enforcing data governance policies to ensure data quality, consistency, and compliance. What You'll Bring: Required: Education: Bachelor's degree or higher in Computer Science, Biostatistics, Engineering, or a related technical field. Core Experience: A minimum of four years of relevant experience working directly within the healthcare domain (e.g., payer, provider, healthcare technology). Technical Mastery: At least four years of hands-on experience with SQL, Python, and PySpark applied to data management and analysis. Data Expertise: Strong, practical knowledge of data management and warehousing concepts and best practices. Nice-to-Haves: Proficiency with modern web and cloud (AWS or GCP) technologies. Strong understanding of U.S. healthcare policy and value-based reimbursement models. Familiarity with administrative healthcare claims data (e.g., structure, content, and usage) and HL7 or FHIR healthcare data interoperability standards. Why You'll Love Working at hMetrix: We invest in our team's success and well-being. Here's what we offer: Financial Wellness: A competitive base salary, annual bonus opportunities, and a fully vested 401(k) with a generous employer match. Comprehensive Health: 100% employer-paid medical, dental, and vision premiums for you and your dependents. Work-Life & Flexibility: A hybrid (in-office/remote) schedule with the flexibility of intra-day breaks of up to two hours. Professional Growth: Real opportunities for advancement, supported by continuous mentorship and a strong peer-support network. About hMetrix: For over two decades, hMetrix has been at the forefront of healthcare analytics. We partner with providers, payers, HIEs, and state entities to solve real-world healthcare problems. Our work spans robust data collection, scalable integration, healthcare policy support, reimbursement, data science, and intuitive visualization. We define problems collaboratively with our clients, tailoring our technology and data resources to meet their specific needs. We are a diverse, family-friendly team focused on inclusion, growth, and making a tangible impact. Our Recent Impact: Identified over $100 million in actionable annual savings through advanced algorithms. Serve as a key technology partner to state governments, managing large, complex B2B healthcare portals and specialized HIE solutions. Reduced data processing time by over 90% through advanced technology and automation. Supported policy initiatives to improve care for over 2 million beneficiaries. Join us at hMetrix and contribute to fascinating and rewarding projects that make a tangible impact in the healthcare industry. We value diversity and strive to create a family-friendly culture that fosters inclusion and growth for better business performance. Location 150 Monument Road, Suite 203 Bala Cynwyd, PA 19004 Tel: ************** | Fax: **************

Business Systems Analyst About the Role We are seeking a highly skilled Business Systems Analyst (BSA) with proven experience in the health insurance domain and strong technical proficiency across BigQuery, APIs, and web technologies. This role is ideal for a results-driven analyst who excels at bridging business needs with technical solutions, driving data-driven insights, and supporting modern digital products. As a key member of the team, you will translate complex business challenges into scalable system requirements, collaborate with cross-functional stakeholders, and ensure the successful delivery of high-impact initiatives across analytics, reporting, UI/UX, and system integrations. Key Responsibilities Partner with business stakeholders, product owners, and technology teams to analyze, document, and translate business needs into clear, actionable system requirements. Define and document data transformation rules, analytical requirements, and metadata mappings using BigQuery datasets and tables to support reporting, analytics, and system validation. Develop interactive wireframes, mock-ups, and dashboard concepts to present analytical findings and communicate insights effectively. Collaborate closely with UI and front-end development teams to ensure usability, accessibility, performance, and alignment with business objectives. Support API design discussions, assist with integration requirements, and partner with technical teams to validate web and API functionality. Conduct end-to-end business process mapping, gap analysis, and impact assessments to drive continuous improvement across health insurance workflows. Lead and support User Acceptance Testing (UAT) by developing test cases, validating system behavior, and ensuring alignment with business expectations. Act as a liaison between business and IT teams, ensuring functional clarity, technical feasibility, and seamless execution of enhancements. Required Skills & Qualifications Health Insurance Expertise: 3-5 years of experience as a BSA within the health insurance or healthcare domain. BigQuery Mastery: Advanced, hands-on experience with BigQuery (mandatory) and strong SQL skills for analytics, reporting, and validation. Reporting & Visualization: Proven ability to define reporting requirements and create intuitive, interactive visual presentations for stakeholders. Analytical Strength: Exceptional analytical, problem-solving, and critical-thinking capabilities with a strong data-driven mindset. Documentation Excellence: Expertise in developing BRDs, FRDs, use cases, user stories, process flows, and system documentation. Communication: Outstanding written and verbal communication skills, capable of simplifying complex concepts for diverse audiences. Preferred Skills Experience with visualization tools such as Tableau, Power BI, or Looker Studio. Familiarity with Agile/Scrum methodologies and ceremonies. Exposure to API integrations and data exchange between front-end and back-end systems. Experience in stakeholder management, process mapping, and gap analysis within healthcare or insurance operations.

Hi #Connections, We do have a Job Opening for, Role-----Senior Data Engineer with Databricks and Python Locations-----Jersey City, NJ & Wilmington, DE (Day 1 Onsite) (Need Local to Texas & Delaware Only) Please share the suitable resumes to ******************* & ***************************************** Job Description: Key Responsibilities: • Design and build ETL/ELT pipelines using Databricks and PySpark • Develop and maintain data models and data warehouse structures (dimensional modeling, star/snowflake schemas) • Optimize data workflows for performance, scalability, and cost • Work with cloud platforms (Azure/AWS/GCP) for storage, compute, and orchestration • Ensure data quality, reliability, and security across pipelines • Collaborate with cross-functional teams (Data Science, BI, Product) • Write clean, reusable code and follow engineering best practices • Troubleshoot issues in production data pipelines Required Skills: • Strong hands-on skills in Databricks, PySpark, and SQL • Experience with data warehouse concepts, ETL frameworks, batch/streaming pipelines • Solid understanding of Delta Lake and Lakehouse architecture • Experience with at least one cloud platform (Azure preferred) • Experience with workflow orchestration tools (Airflow, ADF, Prefect, etc.) Nice to Have: • Experience with CI/CD for data pipelines • Knowledge of data governance tools (Unity Catalog or similar) • Exposure to ML data preparation pipelines Soft Skills: • Strong communication and documentation skills • Ability to work independently and mentor others • Problem-solver with a focus on delivering business value Please share the suitable resumes to ******************* & ***************************************** Please attach the Updated Resume: Kindly fill details, 1. Years of Exp---- 2. Visa Status----- 3. Current Location-------- 4. Linkedin ID----- 5. Share Updated Resume Thanks & Regards., Ramkumar.R || Sr.Technical Recruiter Email: ******************* Linkedin ID: ***************************************** 4701 Patrick Henry Drive Building 16 Santa Clara CA 95054, USA.

One of the nation's largest and most respected providers of hospital and healthcare services, Universal Health Services, Inc. (NYSE: UHS) has built an impressive record of achievement and performance. Growing steadily since its inception into an esteemed Fortune 300 corporation, annual revenues were $15.8 billion in 2024. During the year, UHS was again recognized as one of the World's Most Admired Companies by Fortune; and listed in Forbes ranking of America's Largest Public Companies. Headquartered in King of Prussia, PA, UHS has approximately 99,000 employees and continues to grow through its subsidiaries. Operating acute care hospitals, behavioral health facilities, outpatient facilities and ambulatory care access points, an insurance offering, a physician network and various related services located all over the U.S. States, Washington, D.C., Puerto Rico and the United Kingdom. *********** The Corporate Information Services Department is seeking a dynamic and talented Application Analyst II - Enterprise Resource Planning (ERP) Training. The Application Analyst II - ERP Training provides learning and development services to UHS Corporate, Acute Care and Behavioral Health facilities to increase the effectiveness of clinical and technical staff and ensure the delivery of quality healthcare services to our patients. Works with the ERP Teams and subject matter experts (SMEs) to create engaging educational materials to ensure proper use of the ERP and other business applications. Participates in new training initiatives and provides ongoing support for existing applications. Works in a collaborative environment with facility staff, providers, SMEs, technical experts, and business leaders to deliver training that is accurate and complete. Analyzes learning needs and develops interventions and/or delivers education as required. Training includes but is not limited to classroom and virtual delivery. Key Responsibilities include: Support Production of Training Materials: Develops curriculum for new hire and ongoing training. This includes manuals, job aids, tip sheets, webinars, computer-based training modules and other materials as requested. Updates training curriculum based on system/business needs and communicates changes to all affected parties. Uses proper business writing skills to effectively communicate concepts in a concise, easy to read, and understandable manner. Adheres to appropriate adult learning principles. Performs quality review of new or updated training materials. Establishes and maintains regular communications with education team. Conducts Training: Tracks registration/attendance and grades classes in LMS system. Works with facility staff to ensure classroom is ready for training, training materials present, equipment available and functioning, etc. Conducts classroom, virtual, group, or one on one training as dependent on specific learning requirements. Training System Maintenance & Support: Participates in preparing the training systems for classes as needed. Performs testing and maintenance of the training systems. Adheres to UHS Service Level and Change Management Policies. Demonstrates analytical problem solving to research and resolve Customer Service tickets pertaining to training. Provide post-training support to users, answering questions, providing troubleshooting assistance, and ensuring continued engagement with the new system Administration and Oversight: Maintains Service Excellence principles. Prepares and submits status reports to supervisor as required. Properly documents updates to training materials and file appropriately. Keeps management well informed of activities, needs, problems. Updates project plans in online Project Management system. Monitors and updates service requests in the UHS and Cerner ticket tracking systems. Other Training-Related Assignments: Attends classes to assist other trainers as needed. Collaborates with project managers on special training projects. Keeps current on relevant system updates, clinical workflow changes, and release notes. Position Requirements: This position requires an associate or bachelor's degree preferably in Business, Liberal Arts, or Education. 3-5 years of experience delivering training via various methods (eLearning, classroom, webinar) is required. Ability to assemble training material that is professional, concise, and easily understandable by the intended audience. Some knowledge of hospital environments preferred. Solid planning, time management and organizational skills Excellent written and verbal communication skills. Strong English grammar skills required. Requires strong interpersonal and presentation skills. Experience in developing educational curriculum and documentation to deliver an interactive and engaging training strategy, using a blend of live demonstrations, hands-on exercises, and eLearning modules. Experience using ERP products (1+ years), Workday ERP preferred. Demonstrates customer-oriented service excellence principles, as outlined in UHS Corporate standards. Proficient in Microsoft Excel, Word, PowerPoint and Outlook Able to quickly learn new software and business processes. Experience using collaborative tools like Google Docs and SharePoint. Travel Requirements: Up to 50% travel during 3 months leading up to go-live events, standard travel up to 25%. This opportunity provides the following: Challenging and rewarding work environment Growth and development opportunities within UHS and its subsidiaries Competitive Compensation Excellent Medical, Dental, Vision and Prescription Drug Plan 401k plan with company match Generous Paid Time Off *UHS is a registered trademark of UHS of Delaware, Inc., the management company for Universal Health Services, Inc. and a wholly-owned subsidiary of Universal Health Services, Inc. Universal Health Services, Inc. is a holding company and operates through its subsidiaries including its management company, UHS of Delaware, Inc. All healthcare and management operations are conducted by subsidiaries of Universal Health Services, Inc. To the extent any reference to "UHS or UHS facilities" on this website including any statements, articles or other publications contained herein relates to our healthcare or management operations it is referring to Universal Health Services' subsidiaries including UHS of Delaware. Further, the terms "we," "us," "our" or "the company" in such context similarly refer to the operations of Universal Health Services' subsidiaries including UHS of Delaware. Any employment referenced in this website is not with Universal Health Services, Inc. but solely with one of its subsidiaries including but not limited to UHS of Delaware, Inc. UHS is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at UHS via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of UHS. No fee will be paid in the event the candidate is hired by UHS as a result of the referral or through other means. EEO Statement All UHS subsidiaries are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates. UHS subsidiaries are equal opportunity employers and as such, openly support and fully commit to recruitment, selection, placement, promotion and compensation of individuals without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), genetic information, national origin, disability status, protected veteran status or any other characteristic protected by federal, state or local laws. We believe that diversity and inclusion among our teammates is critical to our success. Notice At UHS and all our subsidiaries, our Human Resources departments and recruiters are here to help prospective candidates by matching skillset and experience with the best possible career path at UHS and our subsidiaries. We take pride in creating a highly efficient and best in class candidate experience. During the recruitment process, no recruiter or employee will request financial or personal information (Social Security Number, credit card or bank information, etc.) from you via email. The recruiters will not email you from a public webmail client like Hotmail, Gmail, Yahoo Mail, etc. If you are suspicious of a job posting or job-related email mentioning UHS or its subsidiaries, let us know by contacting us at: ************************* or **************.

We are seeking a passionate and skilled Senior Data Engineer to join our dynamic team in Philadelphia, PA. In this role, you will lead the design and implementation of advanced data pipelines for Business Intelligence (BI) and reporting. Your expertise will transform complex data into actionable insights, driving significant business value for our clients. Key Responsibilities: Design and implement scalable and efficient data pipelines for BI and reporting. Define and manage key business metrics, build automated dashboards, and develop analytic self-service capabilities. Write comprehensive technical documentation to outline data solutions and architectures. Lead requirements gathering, solution design, and implementation for data projects. Develop and maintain ETL frameworks for large real-world data (RWD) assets. Mentor and guide technical teams, fostering a culture of innovation. Stay updated with new technologies and solve complex data problems. Facilitate the deployment and integration of AI models, ensuring data quality and compatibility with existing analytics infrastructure. Collaborate with cross-functional stakeholders to understand data needs and deliver impactful analytics and reports. Required Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. 4+ years of SQL experience. Experience with data modeling, warehousing, and building ETL pipelines. Proficiency in at least one modern scripting or programming language (e.g., Python, Java, Scala, NodeJS). Experience working directly with business stakeholders to align data solutions with business needs. Working knowledge of Snowflake as a data warehousing solution. Experience with workflow orchestration tools like Apache Airflow. Knowledge of data transformation tools and frameworks such as dbt (Data Build Tool), PySpark, or Snowpark. Experience with open-source table formats (e.g., Apache Iceberg, Delta, Hudi). Familiarity with container technologies like Docker and Kubernetes. Experience with on-premises and cloud MDM deployments. Preferred Qualifications: Proficiency with data visualization tools (e.g., Tableau, Power BI, Quicksight). Certifications in Snowflake or Azure Data Engineering Experience with Agile methodologies and project management tools (e.g., Jira). Experience deploying and managing data solutions within Azure AI, Azure ML, or similar environments. Familiarity with DevOps practices, particularly CI/CD for data solutions. Knowledge of emerging data architectures, including Data Mesh, Data Fabric, Multimodal Data Management, and AI/ML integration. Familiarity with ETL tools like Informatica and Matillion. Previous experience in professional services or consultancy environments. Experience in technical pre-sales, solution demos, and proposal development.

Job Description: Salesforce Business Analyst(Only w2) Preferred Candidates: US Citizens Key Responsibilities Work closely with business units to gather, analyze, and document business requirements for Salesforce enhancements and new features. Translate business needs into functional specifications, process flows, user stories, and acceptance criteria. Collaborate with Salesforce administrators, developers, and QA teams to ensure successful solution design and delivery. Conduct gap analysis and propose scalable, efficient Salesforce solutions aligned with Clean Earth's operational workflows. Support system configurations, data integrity initiatives, and workflow optimization across Sales Cloud, Service Cloud, and related modules. Facilitate cross-functional workshops, requirement discovery sessions, and UAT planning. Perform system testing, user acceptance testing, and post-deployment validation. Develop training materials, user guides, and help business users adopt new Salesforce capabilities. Work on data migration, reporting, dashboards, and automation improvements. Ensure compliance with Salesforce platform governance, security policies, and data quality standards. Partner with leadership teams to define roadmap initiatives and continuous improvement opportunities. Required Skills & Experience 10+ years of experience as a Salesforce Business Analyst or Functional Consultant. Strong knowledge of Sales Cloud, Service Cloud, workflows, validation rules, Lightning components, and automation tools. Proficient in creating user stories, BRDs, FRDs, process maps (BPMN), and UAT scripts. Experience working with cross-functional business units (Sales, Operations, Customer Service, Field Teams). Solid understanding of data management, reporting, and Salesforce analytics. Hands-on experience with Agile/Scrum methodology. Strong communication and stakeholder management skills. Ability to manage multiple priorities and deliver high-quality work under timelines. If I missed your call ! Please drop me a mail. Thank you, Harish Talent Acquisition Astir IT Solutions, Inc - An E-Verified Company Email:******************* Direct : ***********788 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080 ***************

Key Responsibilities: Manage and support batch processes and data pipelines in Azure Databricks and Azure Data Factory. Integrate and process Bloomberg market data feeds and files into trading or analytics platforms. Monitor, troubleshoot, and resolve data and system issues related to trading applications and market data ingestion. Develop, automate, and optimize ETL pipelines using Python, Spark, and SQL. Manage FTP/SFTP file transfers between internal systems and external vendors. Ensure data quality, completeness, and timeliness for downstream trading and reporting systems. Collaborate with operations, application support, and infrastructure teams to resolve incidents and enhance data workflows. Required Skills & Experience: 10+ years of experience in data engineering or production support within financial services or trading environments. Hands-on experience with Azure Databricks, Azure Data Factory, and Azure Storage, Logic Apps, Fabric. Strong Python and SQL programming skills. Experience with Bloomberg data feeds (BPIPE, TSIP,SFTP). Experience with Git, CI/CD pipelines, and Azure DevOps. Proven ability to support batch jobs, troubleshoot failures, and manage job scheduling. Experience handling FTP/SFTP file transfers and automation (e.g., using scripts or managed file transfer tools). Solid understanding of equities trading, fixed income trading, trading workflows, and financial instruments. Excellent communication, problem-solving, and stakeholder management skills.

Functional Analyst -(Commercial Lines) Trenton, NJ (3 Days) Qualification At least 7-10 years of experience working as a senior IT Functional analyst for Guidewire implementations Strong background in P&C insurance processes, Guidewire products and their implementation, configuration, and customization Ability to lead strategy and requirement discussions and create precise requirement document Ability to influence decision making with focus on business outcomes Strong communication, negotiation, documentation, organizational, and planning skills Ability to create strong relationships and work collaboratively with multiple stakeholders and technical teams Strong problem-solving skills with a strong sense of individual ownership and accountability. Experience with MS Office Suite and Agile Scrum methodology using Agile Management tools such as JIRA/DevOps Must have Bachelor's degree or higher

Data Engineer - Job Opportunity Full time Permanent Remote - East coast only Please note this role is open for US citizens or Green Card Holders only We're looking for a Data Engineer to help build and enhance scalable data systems that power analytics, reporting, and business decision-making. This role is ideal for someone who enjoys solving complex technical challenges, optimizing data workflows, and collaborating across teams to deliver reliable, high-quality data solutions. What You'll Do Develop and maintain scalable data infrastructure, cloud-native workflows, and ETL/ELT pipelines supporting analytics and operational workloads. Transform, model, and organize data from multiple sources to enable accurate reporting and data-driven insights. Improve data quality and system performance by identifying issues, optimizing architecture, and enhancing reliability and scalability. Monitor pipelines, troubleshoot discrepancies, and resolve data or platform issues-including participating in on-call support when needed. Prototype analytical tools, automation solutions, and algorithms to support complex analysis and drive operational efficiency. Collaborate closely with BI, Finance, and cross-functional teams to deliver robust and scalable data products. Create and maintain clear, detailed documentation (configurations, specifications, test scripts, and project tracking). Contribute to Agile development processes, engineering excellence, and continuous improvement initiatives. What You Bring Bachelor's degree in Computer Science or a related technical field. 2-4 years of hands-on SQL experience (Oracle, PostgreSQL, etc.). 2-4 years of experience with Java or Groovy. 2+ years working with orchestration and ingestion tools (e.g., Airflow, Airbyte). 2+ years integrating with APIs (SOAP, REST). Experience with cloud data warehouses and modern ELT/ETL frameworks (e.g., Snowflake, Redshift, DBT) is a plus. Comfortable working in an Agile environment. Practical knowledge of version control and CI/CD workflows. Experience with automation, including unit and integration testing. Understanding of cloud storage solutions (e.g., S3, Blob Storage, Object Store). Proactive mindset with strong analytical, logical-thinking, and consultative skills. Ability to reason about design decisions and understand their broader technical impact. Strong collaboration, adaptability, and prioritization abilities. Excellent problem-solving and troubleshooting skills.

Local Candidates Only - No Sponsorship** A growing technology company in the Warrington, PA area is seeking a Data Engineer to join its analytics and machine learning team. This is a hands-on, engineering-focused role working with real operational time-series data-not a dashboard or BI-heavy position. We're looking for someone who's naturally curious, self-driven, and enjoys taking ownership. If you like solving real-world problems, building clean and reliable data systems, and contributing ideas that actually get implemented, you'll enjoy this environment. About the Role You will work directly with internal engineering teams to build and support production data pipelines, deploy Python-based analytics and ML components, and work with high-volume time-series data from complex systems. This is a hybrid position requiring regular on-site collaboration. What You'll Do ● Build and maintain data pipelines for time-series and operational datasets ● Deploy Python and SQL-based data processing components using cloud resources ● Troubleshoot issues, optimize performance, and support new customer implementations ● Document deployment workflows and data behaviors ● Work with engineering/domain specialists to identify opportunities for improvement ● Proactively correct inefficiencies-if something can work better, you take the initiative Required Qualifications ● 2+ years of professional experience in data engineering, data science, ML engineering, or a related field ● Strong Python and SQL skills ● Experience with time-series data or operational/industrial datasets (preferred) ● Exposure to cloud environments; Azure experience is a plus but not required ● Ability to think independently, problem-solve, and build solutions with minimal oversight ● Strong communication skills and attention to detail Local + Work Authorization Requirements (Strict) ● Must currently live within daily commuting distance of Warrington, PA (Philadelphia suburbs / Montgomery County / Bucks County / surrounding PA/NJ areas) ● No relocation, no remote-only applicants ● No sponsorship-must be authorized to work in the U.S. now and in the future These requirements are firm and help ensure strong team collaboration. What's Offered ● Competitive salary + bonus potential ● Health insurance and paid time off ● Hybrid work flexibility ● Opportunity to grow, innovate, and have a direct impact on meaningful technical work ● Supportive, engineering-first culture If This Sounds Like You We'd love to hear from local candidates who are excited about Python, data engineering, and solving real-world problems with time-series data. Work Authorization: Applicants must have valid, independent authorization to work in the United States. This position does not offer, support, or accept any form of sponsorship-whether employer, third-party, future, contingent, transfer, or otherwise. Candidates must be able to work for any employer in the U.S. without current or future sponsorship of any kind. Work authorization will be verified, and misrepresentation will result in immediate removal from consideration.

Analytical Research & Development (AR&D) - Responsible for the strategic oversight and tactical operations of analytical method validation for commercialization of large molecules (Biologics and Vaccines). The team is seeking a motivated candidate to provide global analytical change control support for pipeline products within biologics and vaccines. The candidate with a preferred change control background will support global analytical changes (e.g. method and specification establishment and revisions) impacting pipeline commercialization. Primary Responsibilities: Manage end-to-end analytical change control activities associated with commercialization and ensure change control compliance with all regulatory expectations and global procedures. Partnering with key stakeholders in Regulatory, Analytical, Technology, Supply Chain, Operations, and Quality to coordinate assessments and approval of analytical change controls. Develop change strategy through creation of change plan and tasks and maintain end-to-end oversight to drive progress and escalate where required. Required Experience and Skills: Experience and understanding of change control environment and systems Work independently and within cross-functional teams. Effective organization to multi-task and manage multiple projects Strong collaborative and communication skills Effective written and oral communication skills Education: BS degree required, concentrations in life sciences, engineering or related relevant discipline with 4+ years of relevant industry experience.