Business Analyst is needed to perform the following duties: Work closely with stakeholders to gather, analyze, and document business requirements. Conduct interviews, surveys, and workshops to capture user needs and translate them into functional specifications. Collaborate with IT and business teams to ensure understanding of the requirements. Facilitate communication between stakeholders, ensuring that expectations are managed and requirements are clearly understood. Organize and lead project meetings, including status updates and progress reports. Prepare and present findings and recommendations to stakeholders and senior management. Analyze and map current business processes to identify areas for improvement. Develop new processes and workflows to optimize business operations. Document process changes and create detailed process maps using Microsoft Visio tool. Perform data analysis to identify trends, patterns, and insights that support business decision-making. Develop and maintain dashboards and reports using tools such as Tableau, Power BI, and Excel. Ensure data accuracy and consistency across reports and dashboards. Collaborate with the technical team to design and implement solutions that meet business requirements. Create detailed functional specifications and use cases. Support the development and testing of new systems and processes. Ensure that solutions are aligned with business goals and objectives. Develop test plans and test cases to validate that the solutions meet business requirements. Coordinate and execute user acceptance testing with stakeholders. Document and track issues and ensure they are resolved in a timely manner. Develop training materials and conduct training sessions for end-users. Provide ongoing support to users, addressing any issues or questions that arise. Monitor the effectiveness of implemented solutions and suggest improvements as needed. Bachelor’s Degree is required in Computer Science or Data Science or Information 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