Senior data analyst- jobs in Hamilton Square, NJ

Philadelphia, PA Hybrid / Remote Brooksource is seeking an experienced Data Modeler to support an enterprise data warehousing team responsible for designing and implementing information solutions across large operational and analytical systems. You'll work closely with data stewards, architects, and DBAs to understand business needs and translate them into high-quality logical and physical data models that align with enterprise standards. Key Responsibilities Build and maintain logical and physical data models for the Active Enterprise Data Warehouse (AEDW), operational systems, and data exchange processes. Collaborate with data stewards and architects to capture and refine business requirements and translate them into scalable data structures. Ensure physical models accurately implement approved logical models. Partner with DBAs on schema design, change management, and database optimization. Assess and improve existing data structures for performance, consistency, and scalability. Document data definitions, lineage, relationships, and standards using ERwin or similar tools. Participate in design reviews, data governance work, and data quality initiatives. Support impact analysis for enhancements, new development, and production changes. Adhere to enterprise modeling standards, naming conventions, and best practices. Deliver high-quality modeling artifacts with minimal supervision. Required Skills & Experience 5+ years as a Data Modeler, Data Architect, or similar role. Strong expertise with ERwin or other modeling tools. Experience supporting EDW, ODS, or large analytics environments. Proficiency developing conceptual, logical, and physical data models. Strong understanding of relational design, dimensional modeling, and normalization. Hands-on experience with Oracle, SQL Server, PostgreSQL, or comparable databases. Ability to translate complex business requirements into clear technical solutions. Familiarity with data governance, metadata management, and data quality concepts. Strong communication skills and ability to collaborate across technical and business teams. Preferred Skills Experience in healthcare or insurance data environments. Understanding of ETL/ELT concepts and how data models impact integration workflows. Exposure to cloud data platforms (AWS, Azure, GCP) or modern modeling approaches. Knowledge of enterprise architecture concepts. About the Team You'll join a collaborative, fast-moving data warehousing team focused on building reliable, scalable information systems that support enterprise decision-making. This role is key in aligning business needs with the data structures that power core operations and analytics.

Role: Data Modeler Fulltime The Senior Data Modeler is responsible for developing advanced data models associated with the enterprise data warehouse (DART), IHG operational systems and IHG data exchange with limited management oversight. Primary job function entails gathering and assessing business and technical requirements to create/update database objects. Delivery items include using ERwin Data Modeler to create and maintain entity relationship diagrams, DDL, and supporting documentation as needed. Additional job functions include identifying solution design options, advanced data profiling and subject matter expertise. This role works closely with all development resources including Business Systems Analysts, Developers and Project Managers. The Senior Data Modeler works independently with minimal guidance and acts as a resource for colleagues with less experience. A solid understanding of the following is required: • Software Development Life Cycle (SDLC) • Agile Methodology • Logical and Physical data modeling • Levels of Normalization • Abstraction and Generalization • Subtyping and Classification • Relational model design • Dimensional model design (Star Schemas, Snowflake designs) • Inmon & Kimball methodologies • Master Data Management (MDM) • Data Profiling • Metadata Management • Data security and protecting information • ETL processes, BI processes • Cloud Platforms, especially Google Cloud Platform Requirements: • 7+ years of proven experience in Data Modeling • 5+ years of experience with advanced SQL query techniques • Highly skilled in Erwin, including but not limited to: Diagraming, Complete Compare, Reverse Engineering, Forward Engineering • Strong multi-tasking capability, with adaptability to work simultaneously in multiple environments with differing procedures, SME support and level of accountability • Ability to estimate scope of effort, to prioritize and/or fast track requirements, and to provide multiple options for data-driven solution design • Demonstrated ability to recognize, elicit and/or decompose complex business requirements • Demonstrated ability to perceive patterns and relationships in data • Demonstrated ability to design models which integrate data from disparate sources • Demonstrated ability to design data models for complex and ragged hierarchies • Demonstrated ability to design data models for complicated historical perspectives • Understanding of data warehousing and decision support tools and techniques • Strong ability to multi-task with several concurrent issues and projects • Demonstrated ability to interact effectively with all levels of the organization • Strong interpersonal, written and verbal communication skills • Experience advising or mentoring staff regarding data administration, data modeling, and data mapping Desired • Experience creating data models for BigQuery, SQL Server, Oracle and MySQL databases • Experience in Healthcare Insurance or related field strongly preferred"

Data Scientist - Pharmaceutical Analytics (PhD) 1 year Contract - Hybrid- Plainfield, NJ We're looking for a PhD-level Data Scientist with experience in the pharmaceutical industry and expertise working with commercial data sets (IQVIA, claims, prescription data). This role will drive insights that shape drug launches, market access, and patient outcomes. What You'll Do Apply machine learning & advanced analytics to pharma commercial data Deliver insights on market dynamics, physician prescribing, and patient behavior Partner with R&D, medical affairs, and commercial teams to guide strategy Build predictive models for sales effectiveness, adherence, and market forecasting What We're Looking For PhD in Data Science, Statistics, Computer Science, Bioinformatics, or related field 5+ years of pharma or healthcare analytics experience Strong skills in enterprise-class software stacks and cloud computing Deep knowledge of pharma market dynamics & healthcare systems Excellent communication skills to translate data into strategy

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite , Price Rite , The Fresh Grocer , Dearborn Markets , and Gourmet Garage banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern's co-operative members benefit from the company's extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. Summary The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with a focus on cloud-based data warehousing and reporting solutions and driving efficiency within the organization. The role plays a pivotal role in defining data cloud architecture that requires close collaboration with application developers, data engineers, data analysts, data scientists, and BI developers to ensure seamless data integration and automation across various platforms. The Cloud Data Warehouse Architect is responsible for evaluating and selecting the most effective cloud technologies, data governance and compliance, and data warehouse process alignment with security best practices and industry regulations. The role demands passion for cutting-edge cloud solutions, performance optimization, and a proactive approach to troubleshooting complex data challenges in a fast-paced, highly collaborative environment. This role will enable organization to build scalable, cost-efficient systems that support advanced analytics, business intelligence, and machine learning use cases. Essential Functions Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems. Define architecture standards and best practices for data warehousing and cloud infrastructure. Develop and manage backup strategies, disaster recovery plans, and failover mechanisms to ensure business continuity. Provide input for project plans and timelines to align with business objectives. Monitor project progress, identify risks, and implement mitigation strategies. Work with cross-functional teams and ensure effective communication and collaboration. Provide regular updates to the management team. Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure. Communicates and promotes the code of ethics and business conduct. Ensures completion of required company compliance training programs. Is trained - either through formal education or through experience - in software / hardware technologies and development methodologies. Stays current through personal development and professional and industry organizations. Additional Functions Design scalable, secure, and efficient data warehouse solutions on cloud platforms such as Azure, Google Cloud, AWS. Implement robust security measures to ensure data privacy and comply with regulatory standards. Leverage cloud-native automation tools to streamline data management and reduce manual processes. Design, build, and maintain automated data pipelines and ETL/ELT processes, ensuring scalability and reliability in data operations. Design and implement data integration solutions to automate data flow between systems and databases. Designs and develops cloud automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services. Monitors and troubleshoots the cloud data warehouse solutions, resolving any issues or errors. Provides training and support to the end users of the cloud solutions. Maintain detailed architecture documentation and best practices for the organization's data cloud infrastructure. Stay up-to-date with cloud technologies and data architecture trends to recommend and implement new tools and solutions. Understands cloud FinOps including chargeback and alert monitoring Qualifications 5+ years of experience in cloud data warehouse design, cloud computing, and data architecture. A bachelor's degree or higher in computer science, information systems, or a related field. Deep understanding of cloud-based data warehousing solutions (e.g., Azure Fabric, Google BigQuery, AWS etc.) Knowledge of data security, encryption, and compliance in cloud environments. Understanding of DevOps practices and cloud infrastructure automation (CI/CD, Teraforms) Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc. Experience with data modeling tools. Familiarity with BI visualization tools such as Looker, Tableau, Microstrategy, PowerBI, or similar. Strong knowledge and skills in data management, data quality, and data governance. Strong communication, collaboration, and problem-solving skills. Ability to work on multiple projects and prioritize tasks effectively. Ability to work independently and in a team environment. Ability to learn new technologies and tools quickly. The ability to handle stressful situations. Highly developed business acuity and acumen. Strong critical thinking and decision-making skills. Working Conditions & Physical Demands This position requires in-person office presence at least 4x a week.

Job Title: ETL Lead About the Role: We are seeking a highly skilled and consultative ETL Lead with deep experience in Data Warehousing and Informatica to lead data integration initiatives for a Life Science practice within Brillio. This role is ideal for someone who not only excels technically but thrives as a thought partner to business stakeholders, helping to uncover opportunities for value creation through data. Key Responsibilities: Lead the design, development, and optimization of ETL workflows using Informatica PowerCenter and IICS Architect high-performance, scalable solutions on Snowflake Data Warehouse Design robust data models with strong understanding of facts and dimensions Act as a strategic advisor to business stakeholders, using data to drive insights and business outcomes Partner with line-of-business leaders to identify and prioritize opportunities where data engineering can deliver measurable value Lead a team of data engineers through complex integration efforts with a problem-solving attitude Translate unstructured problems into structured, scalable data solutions Deliver high-quality business presentations and solution documentation tailored to technical and executive audiences Ensure alignment between technical delivery and business value realization Optimize performance through effective data modeling, partitioning, and indexing. Lead data migration and integration projects to move legacy data systems to Snowflake. Collaborate with business analysts, data engineers, and stakeholders to define requirements and deliver data solutions. Required Skills & Qualifications: 8+ years of experience in data engineering and ETL, with hands-on expertise in Informatica (PowerCenter and IICS) Advanced SQL skills and experience with performance tuning Proven experience designing and optimizing solutions in Snowflake Strong foundation in data warehouse design, with a focus on dimensional modeling Prior experience in pharma domain with exposure to IQVIA, Komodo, and VEEVA datasets - strongly preferred Exceptional communication and stakeholder engagement skills Demonstrated consultative mindset, capable of influencing and leading cross-functional discussions on data-driven value generation Experience writing business process and technical documentation Strong project management, organization, and team leadership skills Ability to work in fast-paced environments with ambiguity and shifting priorities Key Expectations: Very strong SQL and Informatica (PowerCenter & IICS) capabilities Deep understanding of Pharma datasets and commercial analytics Proven consultative approach with ability to drive thought leadership and business impact Excellent stakeholder management and presentation skills Onsite at Plainsboro, NJ - 3 days onsite/week Preferred Qualifications SnowPro certification is highly desirable.

Mount Laurel, NJ - (3 days onsite role) Mode of Hiring: Full Time Salary: Negotiable for right candidates Minimum of 7 - 10 years of experience working in a financial institution, preferably in Global Banks Minimum of 7 - 10 years of experience in SQL development, including query optimization, stored procedures, and indexing. Strong working experience in Python for data manipulation, scripting, and automation Understanding of the Compliance domain and concepts i.e., Anti-Money laundering (AML), Know your Customer (KYC), Customer Risk Rating etc. is a must Minimum of 5 - 7 years of experience in data (data lifecycle, data governance, data quality, Metadata, Data issue resolution and other data concepts)

The Data Warehouse and Business Intelligence Architect will play a key role in designing and implementing the enterprise data platform CDO (Central Data Office) on Microsoft Fabric (Azure). This individual will collaborate closely with business, analyst, and IT teams to architect and deliver modern data solutions that enable actionable insights across Finance, Operations, Supply Chain, Business Development, and Marketing. The Architect will be responsible for building the foundational data warehouse, data engineering, data pipelines, and data models that power our analytics ecosystem. The ideal candidate will have a strong technical background in Microsoft Fabric, Azure Data Services, SQL, Python, and data modeling, with hands-on experience integrating data from multiple source systems (using flat files, APIs, on-prem, and SaaS). ROLE AND RESPONSIBILITIES • Design end to end data architecture leveraging Microsoft Fabric capabilities (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2) • Design robust data models, schema definitions and ensure the data warehouse can support complex analytical workloads. • Develop and maintain data integration to extract and transform data from multiple systems including flat files (CSV, Excel, JSON), APIs, partner data feeds, and third-party SaaS platforms. • Ensure data quality, security, and compliance across all datasets, implementing Purview for lineage, classification, and access control. • Establish and document data architecture standards, including folder structure, naming conventions, version control, CI/CD via Azure DevOps, and promotion workflows. • Drive continuous improvement in data platform reliability, cost efficiency, and governance through automation and monitoring. • Participate in data strategy reviews, architecture design sessions, and cross-departmental planning. QUALIFICATIONS AND EDUCATION REQUIREMENTS • Bachelor's degree in Computer Science, Information Systems, or related field; Master's preferred. • 7+ years of experience in data engineering, data architecture, or BI development, including 2+ years with Microsoft Fabric or Azure Synapse. • Proven experience designing data warehouses, dimensional models, and ETL/ELT pipelines. • Proficient in SQL (T-SQL) and Python/PySpark for data processing and automation. • Experience with Power BI, Azure Data Factory or Fabric Pipelines, OneLake, and Lakehouse architecture. • Experience integrating REST APIs, webhooks, and partner data. • Experience with Delta Lake / Parquet optimization (Z-ordering, partitioning, compaction) • Experience of Dimensional modeling (Kimball) and medallion architecture (bronze/silver/gold). • Strong understanding of data governance, metadata management, and data security. • Hands-on experience implementing CI/CD for data solutions using Git / Azure DevOps. • Strong analytical, problem-solving, and communication skills. • Self-starter with ability to work independently and manage multiple priorities.

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.

Full Time Position Onsite at Cranbury NJ About NAM NAM Info is an IT application and implementation services entity having its US HQ in Cranbury, New Jersy and Development centers HQ in Bangalore in India. NAM's distinctive service line offerings include Professional Services, Managed Services - re-engineering, modernization largely involving emerging technology. NAM is also home to a next-generation Data Intelligence Platform that enables enterprises to automate and accelerate their journey from data to insights. Our platform simplifies and unifies data engineering, governance, and analytics-empowering organizations to achieve end-to-end data intelligence at scale. As we expand our product capabilities, we are seeking a Data Product Tester to help ensure that the Inferyx platform delivers world-class performance, accuracy, and reliability. About the Role As an Enterprise Data Architect will be responsible for driving end-to-end Data Lake implementation projects using Snowflake or Databricks on AWS / Azure / GCP platforms. You will lead cross-functional teams, manage delivery from design to deployment, and serve as the main point of contact for clients and internal stakeholders. This role demands hands-on technical experience, strong project management expertise, and a proven record of 3-4 full lifecycle Data Lake implementations. The ideal candidate should also bring pre-sales experience / ability to craft RFP/RFQ responses and Statements of Work (SOWs). Most preferred implementation experience, preferably, be data product based. Application based implementation will be “acceptable”. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using AWS services and Snowflake. End-to-End Delivery: Lead and execute 3-4 full lifecycle Data Lake implementations - from architecture design and development to deployment and post-go-live support. Architecture & Implementation: Design and build scalable, secure, and efficient Data Lake solutions using Snowflake or Databricks on AWS, following Medallion Architecture (Bronze, Silver, Gold layers). AWS Integration: Implement and optimize Data Lake solutions using AWS services such as S3, Glue, Lambda, CloudFormation, EC2, IAM, and Redshift where applicable. Pre-Sales & Client Engagement: Participate in pre-sales discussions, prepare technical proposals, respond to RFPs/RFQs, and draft Statements of Work (SOWs) in collaboration with sales and architecture teams. Leadership & Team Management: Lead a team of data engineers, architects, and analysts, ensuring high-quality deliverables, mentoring team members, and fostering a culture of excellence. Project Governance: Oversee planning, resource allocation, risk management, and execution to ensure projects are delivered on time, within scope, and with high customer satisfaction. Agile Delivery: Facilitate Agile ceremonies (daily stand-ups, sprint planning, retrospectives) and maintain delivery dashboards and KPIs. Data Quality & Compliance: Enforce best practices in data security, access controls, and data quality management across all implementations. Continuous Improvement: Drive innovation and process efficiency across delivery frameworks and technical practices. Mandatory Requirements Proven hands-on experience with Medallion Architecture. Experience delivering 3-4 full lifecycle Data Lake projects using Snowflake or Databricks on AWS. Strong AWS / Azure Cloud implementation experience with data integration and orchestration services. Proven experience in pre-sales, including RFP/RFQ responses and writing SOWs for clients. Solution scoping and conducting full-fledged POC's, including complete architectural workflow layout. Price scoping. Resource scoping. Deliverable milestone scoping. Required Skills & Experience 15-20 years of overall experience in data engineering, analytics, or cloud delivery roles. Should have been an enterprise Architect the recent five to seven years. Strong understanding of data platforms, ETL/ELT pipelines, data warehousing, and analytics lifecycle. Deep knowledge of Snowflake or Databricks architecture, performance tuning, and optimization. Hands-on proficiency in SQL, Python, or Unix Shell scripting. Sound knowledge of data security, access management, and governance frameworks. Excellent communication, stakeholder management, and presentation skills. Strong project management capabilities with Agile/Scrum or hybrid methodologies. Proven ability to manage multiple projects and cross-functional teams simultaneously. Strengthened Top 5 Skills: hands-on Databricks/Snowflake on AWS, Medallion Architecture, and automation (Python, PySpark, Terraform). Clarified Candidate Type: highlight that we're looking for a builder-leader hybrid, not a governance-only profile. Added Delivery & CI/CD depth: Include ownership of end-to-end lifecycle, pipeline automation, and DevOps practices (Airflow/Glue). Preferred Qualifications Certifications in AWS (Solution Architect / Data Analytics), Snowflake, or Databricks. Experience with CI/CD for data pipelines, Terraform/CloudFormation, and modern orchestration tools (e.g., Airflow, dbt). Familiarity with data catalog/governance tools such as Collibra, Alation, or AWS Glue Data Catalog. Kindly reply with your resume to Email- *****************

We are looking for a results-driven Senior Applications Analyst - SAP FI/CO to join our dynamic team. In this role, you will lead the implementation, support, and optimization of SAP Financial Accounting (FI) and Controlling (CO) modules. You will collaborate closely with business stakeholders, project teams, and end-users to deliver high-impact SAP solutions that enhance financial operations and drive business efficiency. Hybrid Position in Edison, NJ (4 days a week onsite) Responsibilities SAP FI/CO Implementation Lead end-to-end SAP FI/CO implementation projects, including configuration, customization, and integration with other SAP modules. Design and implement financial processes aligned with business requirements. Requirements Analysis Partner with business stakeholders to gather and document requirements related to SAP FI/CO. Translate business needs into technical specifications for SAP configuration and development. Configuration and Customization Configure SAP FI/CO modules to meet business needs, following best practices and industry standards. Develop custom solutions to address specific challenges within the FI/CO landscape. Optimization and Enhancements Continuously assess and improve existing SAP configurations for performance and efficiency. Recommend and implement enhancements to support evolving business needs. Documentation Maintain comprehensive documentation of SAP configurations, processes, and customizations. Create user guides and training materials for end-users. Training and Support Deliver training sessions to end-users and stakeholders on SAP FI/CO functionality. Provide ongoing support and troubleshooting to ensure effective system usage. Quality Assurance and Testing Develop and execute test plans to validate SAP FI/CO functionality. Collaborate with project teams to ensure successful testing and deployment. Stakeholder Engagement Engage with stakeholders to align SAP solutions with organizational goals. Communicate project status, risks, and recommendations effectively. Minimum Qualifications Bachelor's degree in Information Technology, Business, or related field. 8+ years of experience as a Business Analyst with a focus on SAP FI/CO, preferably in a senior role. Deep expertise in SAP FI/CO modules including G/L, A/P, A/R, Treasury, Product Costing, and Profitability Analysis. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience working in fast-paced, lean environments with multiple concurrent projects. Preferred Qualifications SAP FI/CO certification. Experience with SAP Apparel and Footwear Solution. Familiarity with SAP S/4HANA. Project management experience. Salary range: $150k

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.

Act as a Enterprise Architect, supporting architecture reviews, design decisions, and strategic planning. Design and implement scalable data warehouse and analytics solutions on AWS and Snowflake. Develop and optimize SQL, ETL/ELT pipelines, and data models to support reporting and analytics. Collaborate with cross-functional teams (data engineering, application development, infrastructure) to align on architecture best practices and ensure consistency across solutions. Evaluate and recommend technologies, tools, and frameworks to improve data processing efficiency and reliability. Provide guidance and mentorship to data engineering teams, enforcing data governance, quality, and security standards. Troubleshoot complex data and performance issues and propose long-term architectural solutions. Support capacity planning, cost optimization, and environment management within AWS/Snowflake ecosystems. About ValueMomentum ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry.

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

Company Profile Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization's technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps get companies get “unstuck”. We're a technology company that lives organizations a process and context to solve problems in unconventional ways. We're a catalyst for organization's talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable About this role: Role- Business Analyst- Payment domain Location- Metropark, NJ, Charlotte, NC and Chandler, AZ Payments Technology team is looking for a Lead Business Technology Consultant, specializing in high-value wire payments and interbank networks. You will leverage your deep domain expertise in Fedwire, CHIPS, and SWIFT to drive technical analysis, solution design, and workflow optimization for mission-critical payment transformation. In this role, you will: Lead complex business and technical analysis for payment system initiatives, focusing on wire transfers, Fedwire, CHIPS, and SWIFT network integrations. Collaborate with cross-functional teams to define requirements, map processes, and design solutions that align with regulatory, compliance, and operational standards. Analyze and document current and future state workflows, identifying gaps and recommending improvements for payment processing, settlement, and reconciliation. Serve as the subject matter expert (SME) for ISO 20022 payment message formats, validation rules, and exception handling. Support the rollout of new payment platforms and upgrades, including migration planning, QA testing and parallel/shadow runs. Liaise with technology, operations, and business stakeholders to resolve complex issues and ensure seamless integration of new tools. Prepare and deliver clear documentation, including business requirements, functional specifications, process maps, and training materials. Contribute to strategic planning and roadmap development for payment modernization initiatives. Required Qualifications: 7+ years of experience in payments technology, operations, or consulting, with a focus on wire transfers and interbank networks. Deep working knowledge of Fedwire Funds Service, CHIPS, and SWIFT payment flows, message formats (ISO 20022), and operational processes. Experience in Agile SDLC Proven experience in technical analysis, requirements gathering

Role : Business Analyst(Only w2) Minimum 9+ Years of Experience required. RESPONSIBILITIES: The Business Analyst will be responsible for: - gathering and documentation of business requirements, - creating user interface/user experience mockups, workflows, use cases, user stories, - user documentation for training purposes, - test scripts and test plans. Skills required: - Experience in the complete SDLC including Agile methodology. - Experience writing documentation including BRD, FRD, Use Cases, User Stories etc.-RD, Use Cases, User Stories etc. - Experience with end user support using Adobe XD, Visio and other design tools (Adobe XD preferred). - Ability to gather and interpret relevant information via interviews, observation, surveys, meetings and reading manuals/documentation. - Experience in writing test plans and test scripts and conducting various testing. - Experience in creating user training manuals and conducting user training and demos. - Customer service/end user support/helpdesk support experience preferred. - Ability to analyze complex business processes and workflows and propose areas for improvement. - 4-year college degree or equivalent study required If I missed your call ! Please drop me a mail. Thank you, Harish Accounts Manager/Talent Acquisition Astir IT Solutions, Inc - An E-Verified Company Email:******************* Direct : ***********788 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080 ***************

About the Company Our insurance client is seeking a dynamic Technical Lead with 5-7 years of experience as a technical lead, with a strong background in working with modern tech stacks like MERN. Join a talented architecture team for an industry leading company. About the Role Oversee a team of technical resources, guiding the development process and technical direction of a project, and ensuring that high-quality and scalable software is delivered on time. Be a key player in the technical modernization initiatives. Responsibilities Produce detailed technical design for enterprise applications using cloud solutions & modern technology stack (e.g. MERN stack) Implement technical solutions using cloud solutions & modern technology stack (e.g. MERN stack) Mentor and coach team members to help them improve their technical skills and reach their full potential Work closely with solution architect, developers, engineers, DBAs Have thorough understanding of API and integration design principles Responsible for following deliverables: Technical Design Technical Mentoring Technical Support Technical Documentation Qualifications 5 - 7 years of experience as a technical lead Experience working on enterprise cloud projects using modern technology stack like MERN stack College degree or equivalent experience Required Skills Experience with React or any JavaScript framework, Node, MongoDB or NoSQL database Experience in designing & implementing microservices architecture Experience in designing, implementing & onboarding APIs using API management Experience in data & application integration using Azure Integration Services or modern middleware solutions Experience in DevOps - CI/CD Experience with Docker, Kubernetes & Azure Pay range and compensation package This role pays an hourly rate on W2. 6 months to start with extensions. Must be ONSITE in Princeton 3 days a week - onsite interview is required. W2 candidates only - this is not open to third party candidates. Equal Opportunity Statement Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.

SELECCION is an SAP service company, and we are a passionate global community dedicated to redefining the future of SAP services. Our mission is to deliver impactful solutions. The future promises to be exciting-come and be a part of it. We are looking for an experienced SAP S/4HANA EWM (Extended Warehouse Management) Consultant with proven expertise in both S/4HANA Private Cloud and Public Cloud (RISE/Grow with SAP) implementations. The ideal candidate will lead or support end-to-end EWM solutions tailored for enterprise-scale digital transformations in modern SAP landscapes. Responsibilities: Lead or support the design, configuration, and deployment of SAP EWM in both S/4HANA Private and Public Cloud environments. Analyze and document business requirements and map them to EWM capabilities. Manage integration between EWM and related modules such as MM, SD, TM, and third-party systems. Collaborate with cross-functional teams to ensure seamless process alignment and system integration. Guide clients through best practices in warehouse and logistics execution processes. Support testing, training, cutover planning, go-live, and hyper care activities. Provide post-implementation support, troubleshooting, and process optimization. Ensure compliance with SAP cloud standards and adapt to regular upgrades in public cloud environments. Someone who is open to travel 75% onsite Only candidates with strong implementation experience who are available for full-time positions should apply Required Skills & Experience: 10+ years of SAP experience with at least 4+ years focused on SAP EWM in S/4HANA. Hands-on experience in S/4HANA Public Cloud (RISE/Grow with SAP) and Private Cloud implementations. Deep knowledge of EWM functionalities: warehouse structure, inbound/outbound, staging, RF integration, labor management, and physical inventory. Strong understanding of SAP Activate methodology and cloud implementation best practices. Experience integrating EWM with MM, SD, and TM. Excellent problem-solving, client engagement, and communication skills. Experience with global/multi-country rollouts is a plus. SELECCION CONSULTING LLC is an equal opportunity employer, providing equal employment opportunities to applicants and employees without regard to race, color, creed, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law

Sofidel America, a leader in the production of paper for hygienic and domestic use, is seeking a SAP Analyst for a recent graduate or early career professional to join our team. This role is well suited for a candidate looking to begin or grow a career in SAP and enterprise systems within a manufacturing environment. The SAP Analyst will support the analysis, configuration, and day to day operation of SAP solutions under the guidance of senior SAP and IT team members. This position offers hands on learning, exposure to multiple SAP modules, and opportunities for professional development. Key Responsibilities include but are not limited to: Assist in analyzing business requirements and documenting SAP related needs. Support SAP user access, profiles, and authorizations under supervision. Assist with basic configuration and support activities within SAP modules such as MM and SD. Collaborate with cross functional teams to understand business processes and system usage. Support system testing activities including unit testing and user acceptance testing. Provide first level support to SAP users by assisting with issue troubleshooting and escalation. Help maintain system documentation, process guides, and user instructions. Assist with end user training and SAP best practices. Participate in SAP projects and system enhancements as part of a project team. Stay current on SAP fundamentals, updates, and best practices through training and hands on experience. Requirements: Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field, or graduation within the last year. Up to one year of experience or internship exposure to SAP, ERP systems, or enterprise applications preferred. Basic understanding of business processes and information systems. Exposure to SAP modules such as MM, SD, or FI through coursework, internships, or training is a plus. Strong analytical and problem solving skills. Effective written and verbal communication skills. Ability to work collaboratively in a team environment. Why Join Sofidel America: Competitive compensation. Comprehensive benefits package including medical, vision, dental, 401(k), and paid time off. Relocation package. Supportive work environment. Opportunities for professional growth within a global organization. Equal Opportunity Employer Sofidel America is an equal opportunity employer and is committed to complying with all applicable federal, state, and local laws regarding equal employment opportunity.