Data analyst jobs in Hamilton, NJ

Job Title: Data Analyst Duration: Long-Term Contract Employment Type: W2 Only - No C2C, No 1099. We are seeking a highly skilled Data Analyst to join our team on a long-term W2 contract. The ideal candidate must have 5 - 7 years of professional experience after completing their bachelor's degree (prior to starting a master's program) and strong expertise in Python, SQL, AWS, Tableau, and Snowflake. This role involves working with large datasets, building analytical solutions, and supporting data-driven decision-making across the business. Key Responsibilities Perform data extraction, transformation, and analysis using SQL, Python, and other analytic tools. Develop dashboards, visualizations, and reports in Tableau to support business insights. Work with cloud-based data infrastructure on AWS (S3, Lambda, Glue, Redshift, etc.). Develop and optimize ETL/ELT pipelines in Snowflake and other data systems. Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Ensure data quality, integrity, and security across multiple environments. Perform ad-hoc analysis and create automated reporting solutions. Document data processes, workflows, and best practices. Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related field. Must have 5 -7 years of industry experience AFTER completing the bachelor's degree and BEFORE starting any master's program. Strong proficiency in SQL for querying and manipulating large datasets. Advanced skills in Python, including Pandas, NumPy, and data processing libraries. Hands-on experience with AWS services used in data engineering/analytics. Experience working with Snowflake (query optimization, warehouses, schemas, data modeling). Proficiency in Tableau for building dashboards and visual insights. Strong analytical thinking, problem-solving, and communication skills. Ability to work in a fast-paced, collaborative environment with minimal supervision. Preferred Qualifications Master's degree (completed after required 3-5 years of post-bachelor's experience). Experience with Git, Airflow, or other orchestration tools. Knowledge of statistical modeling or machine learning concepts. Familiarity with Agile methodologies. Additional Information W2 only - No C2C, No 1099. Hybrid work model (3 Days onsite). Candidates must be authorized to work for any employer in the U.S. Thanks & Regards Vasu Baanyan Software Services Inc 100 Metroplex Drive, Suite 100, 1st Floor, Edison, NJ. 08817 Phone: ************ Extn: 207 | Direct: ************ Email: **************** | *************** An E-Verified Compan y

Title: Data Analyst - Actuarial Support Reports To: VP, Actuary Department: Actuary Classification: Full-Time/Exempt Who We Are: Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart. Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace. Position Overview: The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program. Essential Job Functions: Collaborate with cross functional teams to improve data and automate reports where appropriate. Use analytics to spot trends, dependencies, and patterns. Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness. Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation. Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization. Qualifications: Degree in Business, Computer Science or another related field. A minimum 2 years of P/C insurance experience is preferred. Strong analytical and problem-solving skills as well as solid oral and written communication skills Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages. ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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

Role: HEDIS Data Analyst Key Responsibilities Must have HEDIS Analytics & Reporting Develop, validate, and maintain HEDIS measure calculations based on NCQA specifications. Extract, transform, and analyse data from claims, eligibility, EHR, pharmacy, and lab systems. Support annual HEDIS submissions, including numerator/denominator validation, audit documentation, and data quality checks. Conduct trending, gap analysis, and performance monitoring for all HEDIS measures. Generate weekly/monthly dashboards for stakeholder consumption. Data Engineering & ETL Support Develop and optimize SQL queries, ETL pipelines, and data transformations. Collaborate with IT/data engineering teams to improve data quality and resolve inconsistencies. Create field mappings, data lineage documentation, and technical specifications. Chart Review / Hybrid Measures Produce and manage provider retrieve lists for medical record collection. Validate chart abstraction output for accuracy and completeness. Support provider outreach related to missing documentation and care gaps. Cross-Functional Collaboration Partner with Quality Improvement, Clinical, Provider Relations, and Compliance teams to support initiatives. Provide guidance on data anomalies, measure interpretation, and technical HEDIS questions. Present insights and trend analyses to leadership. Audit & Compliance Assist with HEDIS Compliance Audit preparation and documentation. Ensure adherence to NCQA guidelines and regulatory requirements. Maintain audit trails and detailed reporting artifacts. Technical Skills Advanced SQL (required). Experience working with healthcare payer datasets (claims, eligibility, provider, EMR, pharmacy, lab). Understanding of healthcare coding standards (ICD-10, CPT, HCPCS, LOINC, NDC). HEDIS / Healthcare Domain Knowledge Deep understanding of NCQA HEDIS technical specifications. Experience with hybrid and administrative measures. Knowledge of HEDIS audit processes and regulatory timelines. Familiarity with care gap workflows and quality improvement strategies.

(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.

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.

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.

Data Architecture & Modeling Design and maintain enterprise-level logical, conceptual, and physical data models. Define data standards, naming conventions, metadata structures, and modeling best practices. Ensure scalability, performance, and alignment of data models with business requirements. Data Governance & Quality Implement and enforce data governance principles and policies. Define data ownership, stewardship, data lineage, and lifecycle management. Lead initiatives to improve data quality, consistency, and compliance. Enterprise Data Management Develop enterprise data strategies, including data integration, master data management (MDM), and reference data frameworks. Define and oversee the enterprise data architecture blueprint. Ensure alignment between business vision and data technology roadmaps.

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.

Requirements: Typically has 3+ years of relevant technical or business work experience. Bachelor's Degree in Computer Science, Information Systems or Business Administration. Job Description: 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.

Job Title: Sr. Business Analyst / Data Analyst (Data Governance) Only W2 & Visa Independent Candidates with 10+ Yrs of experience Need local resumes with candidates open for Client In-Person interview. Domain: Strong Data Governance & Investment Banking experience is MUST. Overview: We are seeking a highly experienced Lead Business Analyst to champion risk governance and data management initiatives within our organization. The ideal candidate will possess deep expertise in data lineage, risk assessment, data quality, and governance frameworks, with a proven ability to lead complex programs across cross-functional teams in the BFSI sector. Key Responsibilities : Strategic Leadership- Own the end-to-end delivery of key phases: Data Lineage, Risk and Control Assessment, Data Quality, Testing, and Attestation. Shape and refine implementation strategies for high-risk data packages, setting execution priorities. Serve as the SME and escalation point for data risk, governance processes, and remediation planning. Program Oversight - 1. Data Lineage - Oversee the execution of data lineage mapping exercises across business units. Ensure completeness of lineage documentation, incorporating data transformations and manual interventions. Govern lineage quality metrics, gap identification, and remediation prioritization. 2. Risk and Control Assessment - Lead walkthroughs with business and control owners to assess ingestion-to-consumption risk. Review and validate control effectiveness across manual, automated, preventive, and detective controls. Guide the use of internal risk templates and align findings with enterprise risk taxonomy. 3. Data Quality & Profiling - Direct the design and execution of data profiling and anomaly detection, working with vendor tools (e.g., Anomalo). Guide business rule validation and help define or enhance enterprise DQ rules. Lead quality assurance documentation and remediation recommendations. 4. Issue Management and Remediation - Monitor the issue lifecycle, including severity tagging, impact assessment, and ownership tracking. Oversee governance reporting for remediation plans; ensure timely execution across teams. Maintain transparency with leadership on backlog status, risk exposure, and closure KPIs. 5. Testing & Validation - Supervise UAT cycles validating data quality rules, lineage completeness, and control coverage. Collaborate with data engineers and business testers to design and approve test plans. Validate control effectiveness across automated and manual pipelines. 6. Use Case Onboarding - Create and maintain templates for use case documentation (risk, control, lineage). Ensure each use case includes proper controls, lineage, risk documentation, and compliance guardrails. Standardize onboarding checklists and compliance approval workflows. 7. Operational Attestation Transition - Define and institutionalize the transition framework from project delivery to operational teams. Drive adoption of attestation templates, training materials, and feedback mechanisms. Ensure control ownership and documentation continuity post-transition. Required Skills and Qualifications Experience : 10+ years of experience in Business Analysis, Risk Governance, or Enterprise Data Management. At least 3 years in a lead or senior BA role overseeing cross-functional risk/data initiatives in BFSI. Proven experience managing stakeholders across business, technology, audit, and compliance. Technical & Domain Knowledge : Solid knowledge of risk frameworks (e.g., COSO, COBIT, BCBS 239). Deep understanding of data lineage, data quality measurement, metadata management. Familiarity with profiling/anomaly tools (Anomalo, Great Expectations), data cataloging (Collibra, Alation). Ability to read and interpret data flows, lineage diagrams, profiling logs. Soft Skills: Strong stakeholder engagement, facilitation, and negotiation skills. Detail-oriented with ability to synthesize complex topics for senior leadership. Capable of mentoring junior analysts and driving team collaboration. Partner with Heads of Risk, Business Data Stewards, Data Engineering, Compliance, and Internal Audit. Represent risk/data programs in governance forums and regulatory working groups. Liaise with vendor partners supporting profiling, lineage, or remediation.

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 Central Support Specialist Ready to design the future? Qorali has partnered with a leading architectural firm that specializes in innovative design and sustainable solutions. This is more than a business-it's a team united by creativity and purpose. As an award-winning workplace, they're seeking talented D365 Business Central professionals to help their D365 Implementation. What makes this a great place to work? You'll find genuine opportunities for career growth, competitive and accessible benefits, and a culture that values collaboration and forward-thinking ideas. In this role, you'll provide technical support and maintenance for Microsoft Dynamics 365 Business Central system, ensuring smooth operations and optimal performance across the organization. Your Core Responsibilities Act as the first point of contact for Microsoft Dynamics 365 Business Central support, ensuring smooth user experiences. Investigate and resolve issues related to Business Central and legacy Dynamics NAV systems, covering both technical and functional aspects. Maintain detailed documentation of fixes, workflows, and best practices to strengthen the internal knowledge base. Work closely with cross-functional teams to understand business needs and configure system solutions accordingly. Analyze recurring problems, identify root causes, and implement long-term preventive strategies. Manage and optimize integrations and API connections between Business Central and other platforms. Provide user guidance through training sessions and develop clear, user-friendly support materials. Continuously monitor system health and performance, addressing potential risks before they escalate. What You'll Bring 2-3 years of hands-on experience supporting ERP systems, specifically Microsoft Dynamics 365 Business Central. Strong diagnostic and troubleshooting skills within Dynamics environments. Solid understanding of core business processes in finance, operations, and supply chain. Exceptional analytical thinking and problem-solving capabilities. Ability to work independently while juggling multiple priorities in a fast-paced environment. Flexible and proactive mindset to adapt to changing business requirements. What They Offer Competitive base salary with performance-based bonuses. Employee ownership opportunities. Industry-leading training and professional development programs. Leadership growth tracks for ambitious professionals. Comprehensive benefits package including medical, dental, vision, disability, life insurance, and 401(k) with company match. Paid time off and holidays. At Qorali's partnered firm, they're redefining architectural excellence through creativity, technology, and collaboration. When you join their team, you become part of a community dedicated to shaping spaces that matter. Together, they're building something extraordinary.

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

The Transportation Services Senior Analyst is a member of the Inter-Regional Transport Excellence operations team at client, responsible for flawless execution of inter-region transport lanes, managed door-to-door. The role involves day-to-day operational issue management, transportation/logistics coordination, project management with freight forwarders, shipping sites, and supply planning. The Senior Analyst ensures consistent product availability, highest levels of customer experience, and supports process improvement projects using methodologies like Six Sigma and FPX. Other duties include presenting performance metrics to management, managing coordination, track & trace and exception management for transportation lanes, leading or participating in operational vendor management meetings, and collaborating with DC and manufacturing facilities to coordinate and manage freight. The role is business-facing, working closely with internal and external stakeholders across a highly matrixed and global organization. The analyst also acts as a SME for launches, projects, CIPs, and cost service projects, supporting event management, tenders, lane implementations, and driving operational analytics to improve business efficiency. Responsibilities: Door-to-door operational management of inter-region transport lanes, including issue management, freight coordination, and supply planning Lead process improvement projects to drive reliability and cost efficiency for inter-regional transport moves Present performance metrics and project updates to management Coordinate, track & trace and manage exceptions for segment transportation lanes Lead or participate in vendor management meetings and manage daily tactical relationships with vendors Partner with client Deliver Quality to maintain operations within the quality framework Act as the primary point of contact for communication with shipment sites and logistics providers regarding shipment flows, documentation, delays, and quality events Conduct operational analytics for day-to-day business efficiencies Support global bids, event management, tenders, lane implementation, and cross-functional collaboration Encourage inclusion, transparency, and teamwork across the matrixed organization Empower team members for speed, agility, and accountability Experience: Minimum 2 years of experience, preferably in Planning, Distribution, Manufacturing, Transportation, Logistics, Customer Service or Supply Chain Operations Hands-on industry experience in transportation operations Strong communication capabilities and high accountability skills. MS Office proficiency Must be able to read dashboards and working knowledge of project management tools (Microsoft Project, GNATT, RACI, Lessons Learned, FMEA, etc.) Preferred Skills & Experience: Experience or internship in Six Sigma/Process Excellence tools, training and/or certification Familiarity with Alteryx and Tableau analytics Strong vendor management and influencing skills Experience with large-scale or global transport operations Ability to support tenders, service issue resolution, and lane implementation Previous experience presenting to multiple levels of management Experience supporting launches, cost improvement projects, service projects, and cross-regional event management Experience building and maintaining stakeholder relationships-internal and external Skills: Logistics Goods Transport Education: Associate or Bachelors About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Azhar Email: **************************** Internal Id: 25-53775

Open to: General Public Work Week: NE (35-hour) Work Week Salary: $51,479.83 (Non-negotiable) Existing Vacancies: 1 Program/Location Department of Environmental Protection State Parks, Forests, and Historic Sites Office of Resource Development 275 Freehold-Englishtown Road Englishtown, NJ 07726 Scope of Eligibility Open to applicants who meet the requirements below. Description Under the direction of a supervisor in a State department or agency, as a trainee and productive worker, receives on the job training in analytic practices/procedures and application and research and preparation of reports, completes assignments which will provide practical analyst experience and/or learns to review and analyze financial reports; does other related work. Specific to the Position The Office of Resource Development (ORD) leads the capital development program for the State Parks, Forests & Historic Sites and Fish & Wildlife programs, which involves oversight of the design and construction phases of a diversity of projects including facility renovations, new facility development and construction, and health and safety, infrastructure, historic and natural resource focused projects. The Analyst Trainee position reports to the Administrator of ORD and will assist with budgeting and tracking of state, capital and federal funds and projects. Ability to review office operating procedures and assist staff on matters pertaining to fiscal procedures and budget requests and priorities. The Analyst will be responsible for conducting statistical, fiscal and budgetary analyses that will include development of a fiscal database for the tracking and monitoring of all funding and spending allocations. Prepares and reconciles accounts statements. Required to prepare statistical reports showing monetary spending and collection with all current and past accounts, as needed. Preferred Skill Set Strong fiscal, organizational, communication, and time management skills with experience working on the NJ government financial system. Requirements NOTE: Applicants must meet one of the following or a combination of both experience and education. Thirty (30) semester hour credits are equal to one (1) year of relevant experience. Four (4) years of professional experience relevant to the position. OR Possession of a Bachelor's degree from an accredited college or university. NOTE: “Professional experience” refers to work that is analytical, evaluative, and interpretive; requires a range of basic knowledge of the profession's concepts and practices; and is performed with the authority to act and make accurate and informed decisions. NOTE: All U.S. degrees and transcripts must be from an accredited college or university. All foreign degrees and transcripts must be evaluated for accreditation by a recognized evaluation service by the closing date of this posting. Failure to provide documentation may result in ineligibility. License Appointees will be required to possess a driver's license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of the position. SAME Applicants If you are applying under the NJ SAME program, your supporting documents (Schedule A or B letter) must be submitted along with your resume by the closing date indicated above. For more information on the SAME program, please visit SAME Program, email ***************, or call CSC at ************** and select Option #3. Veteran's Preference To qualify for New Jersey Veteran's Preference/status, you must establish Veteran's Preference through the Department of Military and Veteran's Affairs. Please submit proof of your Veteran's Preference along with your resume as indicated. For more information, please visit *********************************************************************** Residency All persons newly hired on or after September 1, 2011, have one year from the date of employment to establish, and then maintain principal residence in the State of New Jersey subject to the provisions of N.J.S.A. 52:14-7 (L.2011, Chapter 70), also known as the “New Jersey First Act”. Benefits As a New Jersey State Department, NJDEP offers a comprehensive benefits package that includes: Paid Benefit Leave Holiday Pay Alternative Workweek Program* Telework* Pension Deferred Compensation Health Benefits (medical, prescription drug, dental & vision care) and Life Insurance Flexible and Health Spending Accounts (FSA/HSA) Commuter Tax Savings Program Public Service Loan Forgiveness (PSLF) Tuition Reimbursement* *Pursuant to the State/Department's policy, procedures, and/or guidelines. Authorization to Work Selected candidates must be authorized to work in the United States per the Department of Homeland Security, United States Citizenship, and Immigration Services regulations. NOTE: The State of New Jersey does not provide sponsorship for citizenship to the United States. Equal Opportunity Employment The State of New Jersey seeks to increase the richness and diversity of its workforce, and in doing so, become the employer of choice for all people seeking to work in State Government. To evaluate the effectiveness of our efforts to attract and employ a diverse workforce, applicants are asked to voluntarily answer a few brief questions on the NJ Affirmative Action Information Form. All information is considered confidential and will be filed separately with the agency's affirmative action officer. This information will not be part of your application for employment and will not be considered in any hiring decision. DEP Notices of Vacancy have a 4:00 p.m. deadline on the closing date. When filing for these opportunities, please be sure to have your letter of interest and credentials sent electronically before 4 p.m. on the closing date. The New Jersey Department of Environmental Protection is an Equal Opportunity Employer and is committed to inclusive hiring and a diverse workforce. We strongly encourage people from all backgrounds to apply. Accommodations under ADA will be provided upon request.

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.

Job Title:Data Engineer (Python, Spark, Cloud) Pay :$90000 per year DOE Term : Contract Work Authorization: US Citizens only ( may need Security clearance in future) Job Summary: We are seeking a mid-level Data Engineer with strong Python and Big Data skills to design, develop, and maintain scalable data pipelines and cloud-based solutions. This role involves hands-on coding, data integration, and collaboration with cross-functional teams to support enterprise analytics and reporting. Key Responsibilities: Build and maintain ETL pipelines using Python and PySpark for batch and streaming data. Develop data ingestion frameworks for structured/unstructured sources. Implement data workflows using Airflow and integrate with Kafka for real-time processing. Deploy solutions on Azure or GCP using container platforms (Kubernetes/OpenShift). Optimize SQL queries and ensure data quality and governance. Collaborate with data architects and analysts to deliver reliable data solutions. Required Skills: Python (3.x) - scripting, API development, automation. Big Data: Spark/PySpark, Hadoop ecosystem. Streaming: Kafka. SQL: Oracle, Teradata, or SQL Server. Cloud: Azure or GCP (BigQuery, Dataflow). Containers: Kubernetes/OpenShift. CI/CD: GitHub, Jenkins. Preferred Skills: Airflow for orchestration. ETL tools (Informatica, Talend). Financial services experience. Education & Experience: Bachelor's in Computer Science or related field. 3-5 years of experience in data engineering and Python development. Keywords for Visibility: Python, PySpark, Spark, Hadoop, Kafka, Airflow, Azure, GCP, Kubernetes, CI/CD, ETL, Data Lake, Big Data, Cloud Data Engineering. Reply with your profiles to this posting and send it to ******************