Systems Engineer is needed to perform the following duties: Solution Architecture & Design, Design Reporting and Analytics Solutions: Architect scalable and high-performance BI solutions leveraging SAP BW on HANA, SAP HANA, SAP Analytics Cloud (SAC), and SAP BusinessObjects (BO). Integrate SAP Data with BI Tools: Ensure smooth integration of SAP systems (e.g., SAP S/4HANA, SAP BW) with SAC, BO, and other third-party reporting tools. Define Data Models: Design logical and physical data models for BW/4HANA, ensuring optimal data flow, storage, and performance for reporting. Define ETL Processes: Develop and optimize Extract, Transform, Load (ETL) processes for data migration and reporting, including data extraction from various sources and transformation rules. Establish Architecture Standards: Define and document architecture standards, guidelines, and best practices for SAP BW HANA, SAC, BO, and ABAP reporting. Implementation & Configuration: Configure SAP BW on HANA: Oversee the configuration of SAP BW on HANA, including data modelling, creating InfoObjects, InfoProviders, transformations, and data sources. Develop ABAP Code for Custom Logic: Write and optimize ABAP programs, function modules, and reports to handle complex data extraction, transformation, and custom reporting requirements. SAC Integration & Setup: Implement and configure SAP Analytics Cloud (SAC) to visualize BW data, integrate SAC with SAP BW/4HANA for real-time reporting. BO Reports and Dashboards: Develop and configure reports, dashboards, and web intelligence documents in SAP BusinessObjects (BO) based on the data model in SAP BW/4HANA. Data Federation & Virtualization: Implement virtual data models (VDM) and use SAP HANA Smart Data Access (SDA) for federated data access across different sources. Performance Optimization & Troubleshooting: Optimize Query Performance: Monitor and optimize the performance of BW/4HANA queries, HANA views, and SAC reports, ensuring fast data retrieval and responsiveness. Troubleshoot Issues: Identify and resolve technical issues related to data extraction, reporting, or integration within the BW/4HANA, SAC, or BO environments. Data Governance & Quality: Implement strategies for data quality management, ensuring data consistency and compliance with governance policies. Reporting & Analytics Delivery: Report Development in SAC and BO: Work with business teams to gather reporting requirements, design, and implement interactive dashboards and reports in SAC and BO. Data Visualization: Apply best practices for data visualization to ensure users can easily interpret the data and make data-driven decisions. Custom Analytics Solutions: Develop custom analytics solutions using ABAP and HANA for specific business needs or complex calculations that cannot be handled by standard reports. o Collaboration with Stakeholders: Liaise with Business Users: Collaborate with business analysts, stakeholders, and end users to understand reporting needs, translate business requirements into technical specifications, and ensure alignment between the technical solution and business objectives. Lead Cross-Functional Teams: Lead and mentor a team of SAP BW developers, ABAP developers, and BI consultants in implementing and delivering reporting solutions. User Training & Support: Provide training sessions and documentation for business users to maximize the adoption and efficiency of reporting tools like SAC and BO. Project Management & Documentation: Project Planning & Management: Participate in project planning, estimating efforts, and managing timelines for the design and delivery of SAP BW/4HANA, SAC, and BO reporting solutions. Documentation: Ensure comprehensive technical documentation is prepared and maintained for all custom developments, configurations, and architectural designs. System Maintenance & Upgrades: System Upgrades: Plan and execute system upgrades for SAP BW/4HANA, HANA databases, and reporting tools, ensuring minimal downtime and a smooth transition. Patch Management: Ensure the application of patches and updates to SAP BW/4HANA, SAC, BO, and underlying systems, maintaining the system's security, stability, and performance. Backup & Recovery: Implement backup and disaster recovery strategies to ensure the protection of critical business intelligence data. Security & Compliance: Role-Based Access Control (RBAC): Implement role-based access control in BW/4HANA, SAC, and BO to ensure that users have the right level of access based on their roles. Data Privacy Compliance: Ensure that reporting systems comply with legal requirements and corporate policies regarding data privacy and protection (e.g., GDPR). Innovation & Continuous Improvement: Stay Up-to-Date with SAP Technologies: Keep abreast of the latest developments in SAP HANA, BW/4HANA, SAC, and BO technologies and evaluate new features for possible implementation. Propose Improvements: Regularly propose new solutions, tools, or processes that could improve the overall performance and capability of reporting systems.

Systems Engineer is needed to perform the following duties: Design, develop, and maintain back-end services with Java, Spring Boot, and micro services architecture. Develop robust, high-performance RESTful APIs and event-driven solutions to support scalable applications. Collaborate with front-end developers to build interactive UIs using Angular, React, Stencil, JavaScript, HTML, CSS, and TypeScript. Work with AWS cloud services to deploy and manage scalable applications. Use build tools like npm and Grunt for efficient development and deployment workflows. Collaborate with cross-functional teams to define, design, and deploy new features and enhancements. Perform code reviews, and ensure best practices in code quality, architecture, and design. Troubleshoot, debug, and resolve application issues, ensuring high performance and responsiveness. Bachelor's Degree is required in Computer Science or Computer Engineering or Information Technology or Computer Information Systems

Full stack Developer is needed to perform the following duties:Design and implement software solutions that are scalable, efficient, and easy to maintain. This could involve creating new features or enhancing existing ones for large-scale distributed systems. Write clean, efficient, and well-documented code in languages like Java, C++, Python, or other Amazon-preferred technologies. The goal is to solve complex problems and deliver high-quality software. Work closely with product managers, other engineers, and designers to understand business requirements and technical constraints, ensuring that the final product meets both technical and customer needs. Monitor the performance of the system and optimize it for efficiency, ensuring that it scales properly and performs well under heavy load. This includes identifying bottlenecks and improving performance. Work 40 hours per week fulltime and extra hours during on call. For an MS in Business Analytics, the relevant courses for a Software Development Engineer (SDE) role at Amazon include: Data Structures & Algorithms – Helps in solving coding problems efficiently. Data Management & Databases –Work with SQL and NoSQL databases, essential for building scalable systems. Machine Learning & Predictive Analytics – Useful for building data-driven features like recommendation systems. Business Intelligence & Data Visualization – Helps in presenting data effectively, which can be important when building software that interacts with users. Programming for Data Science –Programming skills (like Python) needed for software. The courses from my MS in Business Analytics are highly relevant to the Software Development Engineer (SDE) role at Amazon because they provide the foundational knowledge and technical skills required to build scalable, efficient, and data-driven systems. Here's how the courses specifically relate to the position: Write automated tests (unit, integration, etc.) to ensure the quality of the software. When issues arise, I debug and fix them to maintain a smooth, bug-free experience for users. Actively contribute to deploying new software features to production, following Amazon’s principles of continuous integration and continuous delivery (CI/CD). I also ensure that our systems are highly available and fault-tolerant. Ensure that the software I build adheres to Amazon's security guidelines and standards. This includes working on security features, data protection, and making sure our software is resilient to attacks. As part of a team, participate in code reviews, helping to improve code quality and sharing knowledge with junior developers. Work on innovating and solving complex problems. Amazon values a strong customer-first approach, so my goal is always to deliver solutions that meet customers' needs. Cloud Computing & Big Data – Provides on cloud platforms (like AWS) and big data tools, which Amazon uses for large-scale systems. Statistical Methods for Business – Helps analyze data patterns to make informed decisions in software development. Agile & Project Management – Prepares you to work in Agile teams, which is common at Amazon. Data Ethics & Privacy –To ensure your software follows ethical data practices and privacy regulations. Decision Analysis & Optimization – Helps in optimizing systems for performance and cost. Document the technical aspects of the systems I work on, making it easier for other team members to understand and contribute. This includes maintaining clear and concise API documentation and system architecture. Drive the development process, manage deadlines, and ensure that the software build is delivered on time and up to standard. Bachelor's Degree is required in Computer Science or Computer Engineering or Computer Information Systems OR Education and experience evaluation in Computer Science or Computer Engineering or Computer Information Systems.

Data Analyst is needed to perform the following duties: Generate insightful analysis, reports, and data visualizations to answer critical business questions and proactively identify notable trends. Lead to solutions on the most complex and ambiguous analytic projects in the broader organization. Advocate and influence company-wide adoption of state-of-the-art tools. Derive recommendations from analysis that change the strategic direction of the organization. Design, develop, and establish Key Performance Indicators (KPIs) to monitor analysis and provide strategic insights to drive growth and performance. Analyze the business requirements by effectively interacting with all project stake holders, define the business needs and high level detailed system requirements. Responsible to interact with user and client to understand the operational needs, requirements and provide the system requirements and design specifications for application development. Design the overall structure of a feature using a class and a flow diagram. Divide each flow into task and understand the complexity in it by estimating the available resources and tools required for that in the given time. Perform complex data analysis to identify opportunities to reduce fulfillment costs, improve efficiencies, and enhance customer experience. Conduct deep-dive analysis on fulfillment, logistics, and supply chain data to uncover inefficiencies and reduce overall operational costs. Leverage SQL and data visualization tools (Tableau, Power BI) to create interactive reports that help stakeholders make data-driven decisions. Apply expertise in data mining and modeling, leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models. Apply expertise in data mining and modeling, leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive. Extract, clean, and process large datasets from multiple sources (structured and unstructured data, databases, APIs, and external datasets). Use advanced data mining techniques (clustering, anomaly detection, pattern recognition) to discover hidden trends and correlations. Build machine learning models (regression, classification, time series forecasting, and recommendation systems) to predict key business outcomes. Work with a multi-regional team and maintain proper handover between regional teammembers. Demonstrate thought leadership on long-arc business plans derived from large-scale analyses. Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved. Work backward from the end customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency. Adopt a customer-first approach by analyzing customer pain points, expectations, and feedback to shape project objectives and deliverables. Define clear work items and roadmaps that align with business goals and customer experience improvements, ensuring measurable impact. Optimize workflows and processes to improve key performance indicators (KPIs) such as customer satisfaction, response times, fulfillment speed, and cost efficiency. Demonstrate ability to perform and own recurring and ad-hoc business intelligence projects Lead end-to-end execution of business intelligence (BI) projects, from data collection and analysis to visualization and strategic recommendations. Continuously optimize BI strategies by refining data pipelines, improving data governance, and enhancing visualization techniques for better storytelling. Develop standardized metrics to evaluate and benchmark short-term and long-term network planning and forecasting. Design and implement key performance indicators (KPIs) to measure the effectiveness of network planning and forecasting across short-term and long-term horizons. Automate reporting and visualization dashboards using BI tools (Tableau, Power BI) to provide real-time insights into network efficiency and planning accuracy. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Ensure data integrity by implementing rigorous data validation, cleaning, and governance protocols to maintain accuracy, consistency, and reliability in reporting. Perform thorough data validation by cross-checking sources, identifying anomalies, and reconciling discrepancies to ensure high-quality insights. Create technical documentation for Knowledge Management and complete daily health check reports. Develop and maintain comprehensive technical documentation for knowledge management, ensuring clear, structured, and up-to-date information on system architecture, processes, and troubleshooting steps. Standardize documentation formats to ensure consistency and accessibility, using tools such as Confluence, SharePoint, Wiki, or internal knowledge bases. Coordinate with regional leaders on the customer side, escalate issues to respective points of contact, provide updates, and facilitate issue resolution Lead to solutions on the most complex and ambiguous analytic projects in the broader organization Advocate and influence company-wide adoption of state-of-the-art tools Derive recommendations from analysis that change the strategic direction of the organization Participate in infrastructure activities, including stopping and starting applications before and after infrastructure activities, followed by appropriate checkouts. Coordinate with infrastructure and operations teams to plan and execute system maintenance, upgrades, and other infrastructure-related activities. Perform controlled application shutdown and startup procedures before and after infrastructure activities to prevent data corruption and service disruptions. Conduct post-maintenance system health checks, verifying application functionality, database connectivity, and service availability. Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing. Translate complex data analysis into actionable insights by synthesizing large datasets and identifying key trends, correlations, and business opportunities. Develop and deliver compelling presentations, reports, and dashboards using tools like Tableau, Power BI, Excel, and Looker to effectively communicate findings to both technical and non-technical stakeholders. Collaborate with cross-functional teams, including product managers, marketing, finance, and operations, to align data-driven insights with business objectives and strategic goals Bachelor's Degree is required in Statistics or Mathematics or Analytical Finance.

The following website advertisement will be posted from

02/14 /2025 – 03/07/2025

Data Analyst needed w/Master’s Degree or Foreign Equivalent in Information Technology or Computer Science or Computer Engineering or Computer Information Systems and one (1) year experience as Data Analyst or Analytics Developer performing following job duties:

Gather and analyze requirements to design and implement robust analytic solutions to support the identified needs. Create Data pipelines to extract data from EDW (ETL). Identify, analyze and interpret trends and patterns in databases. Design and develop Tableau/SSRS Reports. Create new metrics to use for KPI Scorecard for senior level leadership. Create KPI using calculated key columns and parameters. Develop Tableau data visualization using Cross Tabs, Maps, Box and Whisker Charts, Scatter Plots, Geographic Maps, Pie Charts, Bar Charts and Density Chart. Develop SQL queries using stored procedures and common table expressions (CTEs). Respond to data queries/issues and deliver data requests.

Benefits: Health Insurance & PTO.

Job Locations:

North Brunswick, NJ or any unanticipated client sites within the U.S. Must be available to travel and relocate to any unanticipated client sites within the U.S for temporary projects. 

Mail Resumes to:

Vensit Corporation

825 Georges Road, 2nd Floor, Suite #3, North Brunswick, NJ 08902