Senior/Staff Data Engineer, Analytics and Reporting

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Global Planning Modeling Engineer, you will be a central contact for the Manufacturing network, calculating and communicating capital impacts of process changes to senior leaders in manufacturing and R&D. As a part of Operations Central Team, you will be responsible for connecting many parts of the business in order to drive execution of manufacturing and cost savings processes, including Supply Chain, Finance, Engineering, Procurement, Production and planning. Innovation is highly valued at Micron, and you will have the opportunity to develop new tools to expedite, optimize and refine the planning and reporting processes used across the network. In line with Micron's AI transformation, this role is expected to actively apply AI tools (e.g., Copilot, agents, and analytics assistants) to reimagine planning and reporting workflows, accelerate analysis, and drive productivity in an AI-enabled way of working. The ability to understand and effectively communicate capital impacts of manufacturing changes is essential. Everyday, our team has the opportunity to provide recommendations which will transform the future of manufacturing through data analysis and a global mindset. Your responsibilities will include, but are not limited to: O

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position: Finance Intern Duration: 4-6 Months Full Time Internship Opportunity to Convert to Permanent Staff 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Tai Seng Exchange Tower B Overview The finance intern or recent graduate who supports a company's finance or accounting department while gaining practical experience in financial analysis, reporting, and operational processes. You will also assist with financial data entry, report preparation, account reconciliation, budgeting support, and basic financial analysis, working under senior finance staff (Finance Manager, Tax & Treasury Manager) to gain hands‑on experience in accounting, reporting, and financial operations. Requirements: Ongoing studying for Degree or Degree Holder from any recognized university, internship seeking for 4-6 months or full time role. Key Responsibilities Financial data entry & record maintenance: Recording transactions, updating spreadsheets, and maintaining accurate financial records. Report preparation: Assisting in preparing financial statements, presentations, and reporting packages. Financial analysis: Performing variance, trend, and ratio analysis; supporting ad‑hoc analysis. Budgeting & forecasting support: Gathering data, updating models, and preparing materials for budget meetings. Account reconciliation: Reconciling bank statements, accounts payable/receivable, and general ledger accounts. Audit support: Prov

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Finance Intern / Account Assistant (2 Headcount) 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus (Full Time Staff Only) Overview The finance intern or recent graduate who supports a company’s finance or accounting department while gaining practical experience in financial analysis, reporting, and operational processes. You will also assist with financial data entry, report preparation, account reconciliation, budgeting support, and basic financial analysis, working under senior finance staff (Finance Manager, Tax & Treasury Manager) to gain hands‑on experience in accounting, reporting, and financial operations. Key Responsibilities Financial data entry & record maintenance : Recording transactions, updating spreadsheets, and maintaining accurate financial records. Report preparation : Assisting in preparing financial statements, presentations, and reporting packages. Financial analysis : Performing variance, trend, and ratio analysis; supporting ad‑hoc analysis. Budgeting & forecasting support : Gathering data, updating models, and preparing materials for budget meetings. Account reconciliation : Reconciling bank statements, accounts payable/receivable, and general ledger accounts. Audit support : Providing documentation and assisting with internal/external audit preparations Market & industr

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The Package Health Analyst will contribute to the development and execution of package health monitoring, simulation, and characterization activities. This role involves hands-on engineering work in DFT, data analysis, and reliability testing to ensure robust packaging solutions Key Responsibilities Package Health Metrics & Monitoring Define quantitative package health metrics Develop detection mechanisms and monitoring dashboards for continuous health assessment. Perform electrical and mechanical characterization of packages. Inline Defect Characterization Implement real-time defect detection and classification (critical vs. non-critical). Conduct next-level characterization for critical defects and integrate findings into predictive models. Advanced Analytics & Knowledge Base Perform correlation and causation studies between process variables, defect patterns, and reliability outcomes. Build and maintain a structured knowledge base for package health learnings to enable NPI handover and future technodes. End-to-End Traceability </

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Role Overview As a Product Yield Enhancement (PYE) Engineer, you will be part of a global cross‑functional team responsible for ramping yield of products from New Product Introduction (NPI) through high‑volume manufacturing and maturity. In this role, you will learn to perform data‑driven yield analysis and root‑cause debugging from Frontend through Backend. This role also requires performing in-depth electrical failure analysis to identify root causes of backend failures and enable fast, data-driven resolution. You will be encouraged to explore and apply AI‑assisted tools, automation, and analytics to help reduce repetitive manual work, simplify data analysis, and improve day‑to‑day engineering efficiency. With guidance from experienced engineers, you will collaborate with worldwide cross‑functional teams to develop technical depth, problem‑solving skills, and deliver high‑quality products to Micron’s customers. Key Responsibilities Perform data analysis across Frontend, Backend and Test to identify yield limiters and drive root‑cause diagnostics using advanced analytics, automation, and AI‑assisted tools Conduct electrical characterization and failure analysis using Micron in‑house bench testers and advanced fault‑isolation techniques to localize ph

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in memory and storage innovation, accelerating the transformation of information into intelligence. About the Role Join Micron’s STPG Product Engineering team where you will apply advanced analytics, machine learning, and agentic AI to solve complex NAND product engineering and manufacturing challenges. This role focuses on developing data‑driven and AI‑enabled solutions that improve yield, reliability, defectivity, and test time across the NAND product lifecycle—from New Product Introduction (NPI) to High‑Volume Manufacturing (HVM). You will work closely with Product Engineering, Fab, Technology Development, Test, Quality, and System teams to deploy scalable AI solutions into real production workflows. In addition, you will play a key role in enabling and mentoring Citizen Data Scientists (CDS) within Product Engineering, strengthening the organization’s capability to apply machine learning and advanced analytics for domain‑specific problem solving. Key Responsibilities: Machine Learning & Advanced Analytics Development Develop and deploy predictive and diagnost