Analyst - Process Analytics - Trust & Safety 5A — 6001-Genpact PL SP z.o.o.:O3 Business Park, Krakow. Apply via Workday.
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Analytical Quality Assurance Director Jobs
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Analyst - Process Analytics - Claims & Underwriting 5A — TOWER -4, JHARSA. Apply via Workday.
Manager MPPS Policy Business Analytics — Work At Home-Connecticut. Apply via Workday.
Manager: Business Analytics & Reporting — RI - Woonsocket. Apply via Workday.
Markets Quantitative Analyst - Capital Analytics, AVP — London United Kingdom. Apply via Workday.
Markets Quantitative Analyst - Capital Analytics — New York New York United States. Apply via Workday.
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
Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models. We are seeking a senior, hands-on technology leader to drive this transformation. In this role, you will partner directly with quantitative analysts and key stakeholders to shape the most impactful use cases and then lead a team of talented developers to design, build, and deploy the generative AI platform that brings this vision to life. Key Responsibilities Strategic Vision & Stakeholder Partnership: Collaborate closely with quantitative model developers, Model Risk Management (MRM), and business leaders to deeply understand their pain points and translate them into a technical vision and product roadmap. Identify, scope, and prioritize use cases for the agentic workflow platform, ensuring they deliver measurable value and align with strategic objectives. Serve as the primary technical liaison between the engineering team and its users, ensuring a tight feedback loop and continuous alignment. Platform Design & Hands-On Development: Lead the architectural design of a scalable, robust, and secure agentic AI platform, including core components for orchestration, knowledge retrieval (e.g. RAG), and tool integration. Engage in hands-on software development to build foundational components, create proofs-of-concept, and tackle the most complex technical challenges. Design and implement secure integrations with internal data sources, external APIs, and various LLMs, ensuring compliance
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 </
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
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
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