Lead Data Analytics Engineer Jobs

Become a part of our caring community The Senior Business Intelligence Engineer describes the tools, technologies, applications, and practices used to collect, integrate, analyze, and transform data into insightful and actionable business information. This position is a strategic analytics contributor responsible for developing complex, cross-functional reporting from conception through delivery in partnership with stakeholders to ensure insightful solutions align with organizational objectives and operational priorities. The ideal candidate demonstrates mature judgment, strong governance discipline, and ability to lead with ambition and scale. The Senior Business Intelligence Engineer role works assignments involving moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Business Intelligence Engineer describes the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data to create insightful and actionable business information. Key Responsibilities Design and maintain BI dashboards and analytic solutions from end-to-end Partner with leaders to define KPIs and reporting that support business operations and strategy Ensure data accuracy, auditability, and traceability for regulatory reporting Optimize SQL queries and BI models for large-scale datasets Implement data governance standards including metric definitions and documentation Improve delivery processes, tools, and metrics to increase efficiency Serve as a trusted advisor to leaders, enabling informed decision-making through clear, data-driven communication and reporting Use your skills to make an impact Requi

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Strategy & Analytics Internal Systems and SDC team aspires to supercharge the Internal Systems and SDC organization with analytics and insights. The Internal Systems and SDC org creates the engineering infrastructure and runs the internal operations that enables Stripe to succeed. We deliver data-driven insights that inform business decisions, drive measurable operational improvements, and guide strategy. We are not just data analysts, we are a mix of strategic business partners, deeply strategic and/or technical operational executors. We ensure timely, reliable, high-quality data for not just Internal Systems and SDC, but for stakeholders across Stripe. What you’ll do In this role, you’ll be the go-to expert for your business area. You’ll partner directly with leaders within the SDC and be their go-to for all things data, insights, and strategy. You’ll be hands-on and responsible for delivering critical insights, ensuring data driven decision making is at the core of what we do. You’ll partner with leadership to drive business strategy, planning, goal-setting and performance tracking. You may also scope and lead mission critical projects and execute on strategic initiatives. Responsibilities Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and intern

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk mitigation

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk mitigation

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk mitigation

Become a part of our caring community Humana’s Product organization is seeking a Lead Product Manager to drive the strategy, development, and optimization of the Adobe Experience Platform (AEP) in support of Adobe Web Integrations for Authenticated and Unauthenticated Web Channels. In this role, you will serve as a key product leader responsible for translating business needs into platform capabilities that enable personalized, data-driven customer experiences. You’ll work closely with cross-functional teams to deliver scalable solutions across Real-Time CDP, Journey Optimizer, and Customer Journey Analytics. This role is focused on growing adoption and usage of Adobe Experience Platform as an enterprise platform while supporting and scaling capabilities to support Authenticated (MyH) and Unauthenticated ( H.com) driving dynamic, context-aware customer engagement on Web channels. Success in this role means partnering with key lines of business to translate requirements into detailed product features for engineering teams to enable, while building decisioning strategies that optimize customer outcomes and business value. Key Role Functions Product Strategy & Vision Collaboratively own and manage the product backlo

Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane : Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane : Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation : Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. Responsibilities Set technical direction for your team and guide architecture decisions across the enterprise platform. Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. Shape roadmaps with product and design, applying strong tec

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilitie

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview As a Senior Engineer, Marketing, you'll be embedded with the Marketing team, providing us with technical leadership, consulting, and systems thinking. You'll assemble the orchestration systems, integrations, and AI capabilities that help teams work faster, and in more data‑driven ways. You will lead end‑to‑end design, implementation, and management of the marketing campaign lifecycle system, integrations, internal tools, and learning/experimentation infrastructure. You will report to our Director, Advertising Systems. Responsibilities: You will write high-quality, secure, and well-tested code, contributing to standards and documentation for Marketing infrastructure, data models, and tools You will build the campaign lifecycle orchestration backbone You will build integrations and internal tools that connect project management, collaboration, creative, media, and email/lifecycle platforms You will work with Marketing partners as a technical advisor, translating needs into designs You will integrate AI agents and automations (including LLM-powered flows) into Marketing workflows according to company GenAI guidance You will design and operate data pipelines and models that ingest marketing and performance data into a data layer, supporting experimentation and analytics workflows You will deliver abstractions and APIs that ensure AI systems and our users to create campaign wrap-ups, insights, next-t

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence. As the Solutions Engineer, EHSS Solutions , you will design, develop, and validate digital capabilities that improve EHSS operations through analytics, automation, AI-enabled solutions, intelligent workflows, and decision-support tools. You will partner with EHSS SMEs, site teams, PMO, SMAI, IT, and technology partners to transform business needs into scalable and supportable digital solutions. Your initial focus will be AI enablement, workflow automation, analytics, and decision-support capabilities. You will lead technical solution design, prototyping, and pilot activities while partnering with SMAI, IT, and delivery teams to prepare validated solutions for production deployment. Key Responsibilities Design & Deliver Digital Solutions <spa

The Role As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage within Digital Native customers. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills —

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. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence. As the Solutions Engineer, EHSS Solutions , you will design, develop, and validate digital capabilities that improve EHSS operations through analytics, automation, AI-enabled solutions, intelligent workflows, and decision-support tools. You will partner with EHSS SMEs, site teams, PMO, SMAI, IT, and technology partners to transform business needs into scalable and supportable digital solutions. Your initial focus will be AI enablement, workflow automation, analytics, and decision-support capabilities. You will lead technical solution design, prototyping, and pilot activities while partnering with SMAI, IT, and delivery teams to prepare validated solutions for production deployment. Key Responsibilities Design & Deliver Digital Solutions Design, develop, and validate AI-enabled solutions, intelligent workflows, analytics capabilities, automation tools, and internal EHSS a

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. RESPONSIBILITIES AND TASKS: Develop new tests and test algorithms for products, which covers test software and hardware requirements, defect coverage, characterization, trending, process flow, and test times Develop test programs for products using primarily Python and C coding on automated test equipment in the given area followed by test program release to manufacturing area Be a lead to new product introduction (NPI) as well as pre/post silicon check out Develop test Automation solutions as well as electrical validation and qualification of new test equipment and tools Independently debug and identify root causes on test issues and provide feedback to external groups Provide statistical data analysis, analytics and justification on program validation and its release to ensure program quality Evaluate and verify yields/quality with global teams to ensure we are shipping the highest quality product to our customers with enforce to all data sheet specification Support both internal and external groups on experiments designed to improve yield or capacity by resolving test issues that impact site in a timely manner Maintain tactical and project updates on daily and weekly basis, respectively. Updates should show progress against the timelines. Drive Innovation and Improvement with the end goal of reducing the Cost of Test for Micron in the Test Department Support intra-departmental (and multi-site) teams in dev

About the Role UPI is the backbone of India's digital payments revolution — and Paytm is one of its largest participants, processing hundreds of millions of transactions every month. We are looking for an Analytics Lead to join our UPI team and own the data and insights charter that powers product, growth, and platform decisions across our UPI-powered flows.This role sits at the intersection of consumer behaviour, financial infrastructure, and large-scale data systems. You will build the analytical backbone for UPI — from funnel and cohort frameworks to experimentation infrastructure — and work closely with product, engineering, data science, and business teams to turn transaction-scale data into decisions that affect millions of Indians daily. Key Responsibilities 1. Analytics Strategy & OwnershipOwn the end-to-end analytics charter for one or more UPI surfaces — from metric definition to instrumentation to insight generationBuild and maintain the source-of-truth framework for north-star and guardrail metrics across the UPI funnel (initiation, authentication, success/failure, retention)Partner with NPCI-mandated reporting requirements and ensure analytical rigor aligns with regulatory data standardsLead a team of analysts, setting priorities, reviewing outputs, and raising the bar on analytical craf t2. Funnel, Growth & Behavioural InsightsDiagnose friction points across the UPI journey using deep-dive analysis, cohort studies, and funnel decompositionBuild engagement, frequency, and top-of-wallet models to inform product and growth strategyDesign analytical frameworks for discovery and nudge effectiveness as new UPI capabilities are adoptedPartner with design and product research to combine quantitative and qualitative signals into a single narrative 3. Platform Reliability & Scale AnalyticsDefine and monitor SLA, success-rate, and latency benchmarks; build alerting and anomaly-detection frameworks tied to these metricsBuild root-cause analysis playbooks for pa

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our Yield Analysis team plays a critical role in enabling Micron’s next generation memory products and supporting the historic expansion of our Boise manufacturing site. We combine deep semiconductor expertise, advanced analytics, and cross-functional collaboration to accelerate yield learning, improve product quality, and drive manufacturing excellence. Join a team that is shaping the future of semiconductor innovation through data-driven problem solving and continuous improvement. As a Deviation & Yield Tail Yield Analysis Engineer, you will lead efforts to identify, characterize, and resolve yield loss mechanisms that impact manufacturing performance. This role offers the opportunity to leverage advanced analytics, AI-enabled tools, failure analysis, and model-based problem solving to uncover root causes, drive corrective actions, and deliver sustainable yield improvement across high-volume manufacturing operations. Responsibilities: Monitor probe yield performance to identify yield deviations, yield-tail losses, emerging failure signatures, and excursion events using lot, wafer, die, bitmap, and parametric analysis Lead MBPS and root cause investigations using hypothesis-driven problem solving, statistical analysis, fault trees, and process correlation techniques to achieve verified physical root cause Drive defect characterization and failure analysis activities by correlating electrical signatures, inspection data, EFA/PFA findings, and yield-loss mechanisms