Analytical Quality Assurance Director Jobs

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 </

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Platform Observability & Analytics runs the infrastructure that tells Elastic the truth about its own platform. The observability clusters show Cloud engineers how production is behaving right now, and the analytics pipelines show the business how the platform and the products get used over time. This role sits on the observability side. We run 200+ hosted deployments across every supported cloud region, ingesting logs, metrics and traces for all of Elastic Cloud, plus the SLA and SLO monitoring for ESS and Serverless. When Cloud engineering needs to know what production is doing, they're looking at something we run. What You Will Be Doing Owning end-to-end delivery of moderate-to-high complexity projects on the team’s roadmap , with minimal day-to-day direction. Operating and hardening shared Elastic Cloud infrastructure (ECH, ECE, and ECK) as Infrastructure as Code – writing and reviewing the Terraform, Python, and Go that other engineers depend on. Carrying a 24/7 on-call rotation: responding to incidents, driving them to resolution, and writing clear RCAs/postmortems that lead to lasting fixes rather than repeat pages. Reviewing others’ code and designs, and being a trusted second set of eyes on production changes to critical infrastructure. Mentoring less experienced engineers, and proactively raising risks, ideas

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr. Marketing Strategy and Analytics Manager, Social Impact. About the job Twilio.org is seeking a Sr. Marketing Strategy and Analytics Manager to serve as the dedicated operational business partner to our Social Impact marketing leadership. Sitting at the intersection of Go-To-Market (GTM) Strategy, marketing operations, and advanced data modeling, you won't just report on what happened, you will design the automation, attribution, and account prioritization engines that drive what happens next. This is an ideal opportunity for: The Analytics Strategist ready to drive decisions: You have deep technical data chops (SQL, Python, modeling) but want to move beyond reporting to directly author investment proposals, influence leadership, and see your analyses translate into decisions being made. The Specialized Marketer ready for full-lifecycle ownership: You have deep subject-matter expertise in one domain (such as demand ge

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. Project Title: Development of an AI-Driven Reliability Analytics and Automation Framework for NAND Product Engineering Description This project aims to use an already developed intelligent analytics and automation framework to enhance efficiency, decision-making, and productivity within NAND Reliability Engineering. The intern will leverage data analytics, artificial intelligence (AI), and software automation techniques to process large volumes of reliability and qualification data, identify trends, and generate actionable engineering insights. Key responsibilities include: Analyzing NAND reliability and qualification datasets to identify patterns and improvement opportunities. Presenting technical findings and recommendations to engineering teams. Scope of Work - Execution of MAF/ULR wave tests - Log collection and analyzing - Level-1 Failure Analysis Supporting team NAND Intrinsic Reliability (NIR) Team (Primary) Global Quality & Reliability Engineering (QRE) Team Test Program Development Team Deliverables Technical Documentation User guide, architecture overview, and maintenance documentation. Source code repository with appropriate documentation. Final Presentation Presentation summarizing project objectives, methodology, results, lessons learned, and future enhancement opportuni

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role DevRev is hiring a Senior Product Manager for the Computer Data and Analytics Platform – a hands-on product leader who will own the trusted data foundation that makes Computer precise, useful, and safe across every experience. Computer should not merely report on work. It should understand customer, product, and operational context; reason across it; and help people and agents take the right action. The Computer Data and Analytics Platform makes that possible through a unified, governed, low-latency data layer that turns data from DevRev and connected systems into durable context for humans, applications, analytics experiences, and AI agents. You will define how data is captured, modeled, governed, queried, and activated across DevRev. The platform will support operational reporting and embedded analytics, while also enabling grounded, context-rich agentic conversations in Computer – helping users ask questions, investigate work, receive trusted answers, and take safe actions in the flow of work. This is a unique opportunity to build the foundation for an AI-native operating system – where customer context, product telemetry, structured records, events, and machine reasoning converge. What y

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Capital Team The Capital team manages the financial foundation that supports Affirm’s lending and innovation. We lead the funding, liquidity, and risk management strategy across capital markets, treasury, deal structuring, analytics, and bank partnerships. The team secures efficient funding while supporting sustainable business growth. We balance cost, flexibility, and risk to ensure Affirm’s financial resilience through all economic cycles. By optimizing capital structure and managing liquidity, we help build a scalable and resilient financial platform. We’re looking for a smart, driven individual to join our Quantitative Markets team. The team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies, and building models to analyze and predict the performance of Affirm’s consumer loans. The ideal candidate will have experience in structuring asset-backed transactions, working with rating agencies, and building quantitative models. Given the cross-functional nature of the role, the ideal candidate should have strong interpersonal and communication skills. What You’ll Do Work closely with the Capital Markets team to evaluate, structure and price consumer asset-backed transactions Develop and enhance capital structuring and pricing models tailored to Affirm’s consumer loan portfolio to enable efficient deal execution Build quantitative models to analyze and predict the performance of Affirm’s consumer loans Provide insights on capital markets deals to cross-functional teams for more optimal and efficient funding strategy and merchant pricing Partner cross-functionally with our Capital Markets, Treasury, Merchant Pricing, Credit, Commercial, Product and Engineering teams to evaluate funding, product

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Capital Team The Capital team manages the financial foundation that supports Affirm’s lending and innovation. We lead the funding, liquidity, and risk management strategy across capital markets, treasury, deal structuring, analytics, and bank partnerships. The team secures efficient funding while supporting sustainable business growth. We balance cost, flexibility, and risk to ensure Affirm’s financial resilience through all economic cycles. By optimizing capital structure and managing liquidity, we help build a scalable and resilient financial platform. We’re looking for a smart, driven individual to join our Quantitative Markets team. The team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies, and building models to analyze and predict the performance of Affirm’s consumer loans. The ideal candidate will have experience in structuring asset-backed transactions, working with rating agencies, and building quantitative models. Given the cross-functional nature of the role, the ideal candidate should have strong interpersonal and communication skills. What You’ll Do Work closely with the Capital Markets team to evaluate, structure and price consumer asset-backed transactions Develop and enhance capital structuring and pricing models tailored to Affirm’s consumer loan portfolio to enable efficient deal execution Build quantitative models to analyze and predict the performance of Affirm’s consumer loans Provide insights on capital markets deals to cross-functional teams for more optimal and efficient funding strategy and merchant pricing Partner cross-functionally with our Capital Markets, Treasury, Merchant Pricing, Credit, Commercial, Product and Engineering teams to evaluate funding, product

About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. ABOUT THE ROLE Digital Gold & Silver is one of the fastest-scaling propositions in the Wealth portfolio. As Senior Business Analyst, you will own the numbers end to end from acquisition through retention, churn, revenue and GMV. This is not a reporting role: you will frame problems independently, find root causes, size opportunities, and convert them into growth recommendations that Marketing and Business teams act on. KEY RESPONSIBILITIES Business Insights & Growth • Drive data-led growth across the acquisition, retention, churn, revenue and GMV lifecycle. • Own deep-dive analytics to identify key drivers and opportunities for acquisition, engagement, retention and churn reduction. • Drive Revenue and GMV growth in line with the Annual Operating Plan (AOP) through actionable insights and growth recommendations. Customer & Lifecycle Analytics • Analyse cohorts, journeys, segments and behavioural trends to improve customer lifetime value and repeat transactions. • Build cohort and retention frameworks (D0/D7/D30, monthly triangles) across new, reactivated and repeat users. • Diagnose churn and cancellation drivers and recommend structural fixes, not surface-level corrections. Campaign Efficacy & Attribution • Measure and optimize campaign efficacy — identifying the right segments, propositions, channels and levers to maximize incremental GMV and revenue. • Conduct funnel, cohort, campaign and attribution analysis to identify performance gaps and recommend corrective actions. • Reconcile promotional burn against incremental GMV; establish ROI and cost-per-incremental-user benchmarks by campaign and segment. • Ana

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. Job Description The New York Times advertising department is looking for a Manager of Measurement Analytics. As a strategic and data-driven individual, you will transform our vast data resources into compelling narratives. These narratives will explain the unique value of our platform and products, focused on campaign performance. You will be a central hub of knowledge, applying deep analysis of our audience and ad products to empower our Sales, Strategy and Product teams. This is a hybrid role based in our New York headquarters, reporting to the Senior Director, Measurements, Audience and Insights. You can typically expect to be in the office 3 days per week. About the Role, Mission or Department Overview You will evolve how we measure and increase media and creative across a portfolio of diverse clients. This collaborative and strategic role will work with top tier advertising clients. You will also work with Sales, Sales Planning, Ad Product, Audience Insights, and Strategy teams. The goal is to achieve results to promote relationships with marketers and increase ad revenue. Furthermore, You will work with our Product, Engineering, Data Science, and Product Marketing teams to create and validate measurement solutions supporting new lower funnel advertising solutions. Responsibilities: Develop expertise in the full suite of NYT research capabilities and measurement products that deliver important performance metrics across the full marketi

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 At its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe's financial capabilities. As part of Treasury Finance's AI and Quantitative Analytics team, you'll work at the intersection of finance, artificial intelligence, quantitative reasoning, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy. What you’ll do Within Treasury Finance AI and Quantitative Analytics, you'll leverage your finance, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe's treasury capabilities. You'll develop AI-powered tools and quantitative models, autonomous agents, and analytics that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. Responsibilities Apply your treasury and finance domain expertise to identify high-impact opportunities where AI can be integrated with quantitative tools to solve comp

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Data Analyst - Field Analytics As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth. You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy. Job Duties & Responsibilities: Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis. Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible. AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifec

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview About the Role We are currently seeking a Senior Software Engineer to join our Agentic Analytics Platform team — the team responsible for the AI-for-Data charter inside Instacart's Data Infrastructure org. You'll design and build LLM-powered systems that transform how data practitioners (data scientists, data engineers, analysts, PMs) interact with data at Instacart — from natural-language data access and AI-assisted SQL, to automated metadata generation, to embedding intelligent capabilities across our broader data infra ecosystem. This is a hands-on role at the frontier of applied AI inside a large, modern data stack. About the Team The mission of the Instacart Self-Serve organization is to improve the productivity of data practitioners through easy-to-use, self-serve tools. Agentic Analytics is the team chartered with bringing AI and LLMs into that miss

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations Available: Atlanta, US, Austin, US, Denver, US, Seattle, US, Washington DC, US, Lisbon, Portugal About Role We are looking for experienced and highly motivated engineers to join our DATA Org and help build the future of data at Cloudflare. Our organisation is responsible for the entire data lifecycle - from ingestion and processing to storage and retrieval - powering the critical logs and analytics that provide our customers with real-ti

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing We’re seeking a data-driven and collaborative Lead Digital Technology & Marketing Analytics professional to help transform data into actionable business insights across digital, marketing, operations, and enterprise functions. In this role, you’ll work closely with stakeholders across digital marketing, customer service, operations, engineering, R&D, and IT to support the integration, management, and analysis of data from a variety of sources. You will be responsible for developing, testing, and maintaining dashboards, reports, visualizations, and self-service analytics solutions that enable business users to make informed decisions and support strategic initiatives. Partnering with centralized data and technology teams, you’ll help define data architecture, manage data pipelines, validate datasets, develop data models, and support data governance best practices across the organization. As a key member of the analytics function, you will drive adoption of analytics tools through user training and enablement, collaborate on prioritizing business requests, and contribute to test-and-learn initiatives including A/B testing and incremental analysis. Your ability to identify trends, uncover opportunities, and communicate insights clearly will play a critical role in advancing data-driven decision making across the business. What You Bring · Bachelor’s degree in Data Science, Computer Science, Business, Econo

Senior Staff Architect SAP S/4 Analytics — India - Bengaluru - Manyata. Apply via Workday.