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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data and analytics are at the heart of Lyft's products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bike & scooter share by leveraging data to improve the performance of our bikeshare and scooter markets across America. A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep. In this role, you will collaborate closely with Operations, Hardware, Software, Product and Finance teams to identify opportunities and gaps in performance. You will work in a fast-paced environment where your analytical insights will directly impact strategic decisions around hardware product development, staffing, and product changes, ultimately driving better performance and long-term investments in micromobility infrastructure. We’re looking for a passionate and driven Data Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets Work with our bike & scooter share markets to deliver ongoing support and deep dive analyses on performance; monitor and diagnose performance and present findings to key stakeholders Collaborate with cross-functional teammates to tackle complex problems including: asset maintenance, system health and labor for

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

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 Staff Specialist, EHSS Data , you will serve as the technical specialist for the EHSS data domain. You will partner with EHSS SMEs, SMAI, and IT to shape trusted data products, data models, and technical specifications that support reporting, analytics, AI, and operational decision-making. You will provide the technical expertise needed to ensure EHSS data is reliable, reusable, well-governed, and aligned with approved business definitions and enterprise data practices. Key Responsibilities Build the EHSS Trusted Data Foundation Design and maintain EHSS data models, source-to-target mappings, transformation logic, and technical data specifications. Translate approved business definitions and rules into reusable, analytics-ready data structures and datasets. Define and maintain data-quality controls, validation rules, reconciliation processes, and techni

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 Staff/Principal Business Analyst drives digital transformation initiatives across Assembly & Test (A&T) Operations, with a primary focus on Space & Utilities Planning and Automation, Digitalization, and AI solutions supporting Max-Out activities. This role partners with Capacity Planning, Facilities, Engineering, Operations, Supply Chain, SMAI teams to identify business opportunities, develop digital strategies, and implement scalable solutions that improve capacity/space planning, productivity, operational efficiency, and decision-making across the global A&T network. Key Responsibilities Digital Transformation Leadership Space & Utilities Planning Transformation Max-Out Automation & AI Initiatives Program & Stakeholder Management Key Responsibilities: Develop and execute digital transformation strategies aligned with A&T operational and business objectives. Identify opportunities to simplify, automate, and enhance business processes through AI, advanced analytics, and workflow automation. Build business cases, value realization frameworks, and transformation roadmaps. Lead the digitalization and systemization of Space & Utilities Planni

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 HIG PSE IE Senior Technician , you will support HBM IQP Reliability, Device Reliability, Package Reliability, Wafer Reliability, and product debug activities . The role includes reliability testing, failure analysis, laboratory operations, inventory and logistics management, audits, safety compliance, and continuous improvement initiatives. You will leverage Artificial Intelligence (AI) and AI-assisted tools to improve IQP reliability run rate management, enhance debug capabilities, support wafer-level reliability testing, and drive automation and digital transformation within the lab environment. Key Responsibilities Support Device Reliability, Package Reliability, and Wafer Reliability execution. Monitor and manage IQP reliability run rates, sample flow, and hardware readiness. Perform first-pass failure analysis and product debugging using probe stations and other debug tools. Utilize AI-assisted tools to improve debugging efficiency, root cause investigation, and operational planning. Support automation projects, data analysis, dashboard reporting, and process improvements. Manage procurement, inventory, logistics, and laboratory readiness activities. Support audits, document control, ESD

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in San Francisco. As an ideal candidate, you will have Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutuall

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 HIG PSE IE Senior Technician , you will support HBM IQP Reliability, Device Reliability, Package Reliability, Wafer Reliability, and product debug activities . The role includes reliability testing, failure analysis, laboratory operations, inventory and logistics management, audits, safety compliance, and continuous improvement initiatives. You will leverage Artificial Intelligence (AI) and AI-assisted tools to improve IQP reliability run rate management, enhance debug capabilities, support wafer-level reliability testing, and drive automation and digital transformation within the lab environment. Key Responsibilities Support Device Reliability, Package Reliability, and Wafer Reliability execution. Monitor and manage IQP reliability run rates, sample flow, and hardware readiness. Perform first-pass failure analysis and product debugging using probe stations and other debug tools. Utilize AI-assisted tools to improve debugging efficiency, root cause investigation, and operational planning. Support automation projects, data analysis, dashboard reporting, and process improvements. Manage procurement, inventory, logistics, and laboratory readiness activities. Support audits, document contr

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. Location Micron Singapore, Fab 10 (1 North Coast Drive, Singapore 757432) Department Photolithography Process and Equipment Engineering Project Title AI-Enabled Quality Drift Detection and Engineering Workflow Automation Project Description Advanced data analytics and machine learning are increasingly used in semiconductor manufacturing to improve efficiency, process control, and quality performance. This internship project focuses on applying data analytics and machine learning techniques to large-scale quality datasets for faster detection of quality-metrics drift. The intern will contribute to an end-to-end solution covering data querying, preprocessing, analytics, modelling, and results visualization. Objective of the Project Develop analytical models for monitoring key quality metrics and detecting potential drift. Apply machine learning and multivariable analysis to large-scale test and measurement data. Create automated workflows that improve engineering productivity and analytical efficiency. Develop visualizations that communicate model results and quality trends effectively. Opportunities for Full Tim

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team, responsible for architecting and building best-in-class AI solutions while enabling business and IT partners in their AI adoption journey. In this role, you will provide strategic direction to the engineering team, champion engineering best practices, and drive the end-to-end delivery and enablement of AI solutions across the enterprise. The Finance Technology AI Enablement team helps the business strategize, evaluate, define, and prioritize complex enterprise initiatives — designing and building them into AI-enabled, transformative solutions. This role requires building strong relationships with business stakeholders and domain-specific IT application development teams, working collaboratively to advance AI-driven transformation and deliver measurable results. You will oversee and execute multiple concurrent AI initiatives, delivering value across various business domains in a fast-paced, dynamic environment. Key Responsibilities Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery. Set strategic technical direction for the AI Enablement team, advocating for engineering best practices, scalable architecture, and responsible AI development. Partner with

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. Location F10A Singapore, 1 North Coast Avenue Singapore 757432 Department High Bandwidth Memory Product and Systems Engineering, Industrial Engineering Management Project Title AI-Enabled High Bandwidth Memory Sample Planning and Workflow Optimization Project Description As an intern in the High Bandwidth Memory Product and Systems Engineering Industrial Engineering team, you will participate in a structured project to improve the visibility and planning of High Bandwidth Memory sample workflows through data analytics, dashboard development, and Artificial Intelligence. The project focuses on mapping the end-to-end sample workflow from Die Bank through probe, test, shipment, and the Reliability Lab. The intern will develop an AI-Enabled solution to predict sample arrival and reliability start dates, forecast burn-in resource demand, automate selected notifications, and provide operational insights through interactive dashboards. The internship provides hands-on exposure to semiconductor sample logistics, process documentation, predictive analytics, business intelligence, and workflow optimization. The intern will collaborate with engineering, planning, operations, and information techn

Platform Consultant / Management Consultant – Aladdin Location: London (Hybrid) | Practice Area: Wealth & Asset Management | Type: Permanent Drive transformation across the world's leading investment management platform, helping clients maximise the value of BlackRock Aladdin through strategic business and technology change. The Role We are expanding our Wealth & Asset Management capability and are seeking experienced Aladdin Consultants to support growing client demand across strategic platform transformation programmes. This role is focused on helping leading asset managers, wealth managers and financial institutions maximise the value of BlackRock's Aladdin platform across front, middle and back-office operations. You'll work with clients to deliver large-scale Aladdin implementations, enhancements, integrations and operating model transformations, acting as a trusted advisor throughout the delivery lifecycle. Experience with complementary platforms such as Charles River, SimCorp, Avaloq, Temenos or FNZ is beneficial, but Aladdin expertise will be your core differentiator. As AI continues to reshape financial services, you'll be expected to embrace AI-enabled ways of working, using approved AI and automation tools to enhance productivity, accelerate analysis, improve delivery quality and support better client outcomes, while always applying human judgement and responsible AI practices. You'll also help clients identify opportunities to embed AI-enabled capabilities into future platform strategies and operating models where appropriate, supporting innovation while maintaining robust governance and oversight. What You'll Do Lead and support Aladdin implementation, integration, upgrade and optimisation programmes, leveraging approved AI-enabled tools where appropriate to accelerate delivery and improve quality. Partner with investment, operations and technology teams to optimise Aladdin workflows, operating models and platform capabilities, identifying oppor

Data Science Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value. You'll champion AI-enabled ways of working, encouraging the responsible use of approved AI tools and automations to improve delivery quality, productivity, and insight while maintaining appropriate human oversight and governance. What You’ll Do Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions. Drive the adoption of cutting-edge technologies including generative AI, LLMs, and agentic AI frameworks, while promoting responsible AI practices, governance, and appropriate human review throughout the delivery lifecycle. Collaborate with business and technology teams to align technical outcomes with strategic goals, leveraging AI-enabled workflows where appropriate to accelerate insight and delivery. Provide thought leadership and best practices across the data science lifecycle, from exploration to deployment, including scalable MLOps, model governance, and responsible AI implementation. Mentor and develop data professionals, fostering a culture of innovation, continuous learning. What We’re Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterpri

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Buscamos uma pessoa Data Analyst com forte capacidade analítica e visão de negócio, confortável em trabalhar com dados para além da criação de relatórios e extrações SQL. Essa pessoa será responsável por avaliar a qualidade dos dados, desenvolver indicadores, estruturar frameworks de medição e transformar objetivos de negócio em resultados mensuráveis. A função atuará em parceria com stakeholders, equipes de produto, tecnologia e dados para gerar insights e apoiar decisões estratégicas. Principais responsabilidades Explorar, analisar e interpretar dados provenientes de diferentes fontes. Avaliar a qualidade, integridade, completude, consistência e atualidade dos dados. Identificar anomalias, lacunas e problemas que possam comprometer análises ou decisões. Desenvolver KPIs, métricas e frameworks de medição alinhados aos objetivos de negócio. Traduzir metas e necessidades de negócio em indicadores claros e mensuráveis. Definir critérios, regras e estratégias para identificação, análise e tratamento de registros duplicados. Validar regras de consolidação, correspondência e priorização de registros. Criar relatórios, dashboards e análises que apoiem decisões operacionais e estratégicas. Monitorar tendências, padrões de comportamento e variações relevantes nos dados. Medir a adoção de produtos, plataformas, funcionalidades e novos processos. Avaliar o valor gerado por iniciativas por meio de métricas de impacto, eficiência e resultados. Estabelecer baselines, metas e mecanismos de acompanhamento de desempenho. Comunicar descobertas e recomendações de forma clara para públicos técnicos e não técnicos. Document

CAPCO POLAND We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions. Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry. We also are: Experts in banking and payments, capital markets, wealth and asset management Focused on maintaining our nimble, agile, and entrepreneurial culture Committed to growing our business and hiring the best talent to help us get there THINGS YOU WILL DO Your main responsibilities include ensuring the accuracy and integrity of accounting, valuation, P&L, and Balance Sheet reporting for the Global Markets Business. The role is responsible for ensuring that trading activities are appropriately reflected in the financial statements in accordance with IFRS, internal accounting policies, and regulatory requirements, while maintaining a robust control environment over financial reporting and valuation processes. Main Duties: Preparing and reviewing daily and monthly Product Control accounting and reporting activities for trading businesses. Ensuring accurate accounting treatment of trading products, fair value adjustments, accruals, reserves, and other valuation-related entries in accordance with IFRS and internal accounting policies. Preparing and reviewing P&L and Balance Sheet reconciliations, investigating breaks, and ensuring timely resolution of accounting discrepancies. Performing detailed analysis and explanation of daily and monthly P&L movements, Balance Sheet variances, and valuation adjustments. Overseeing preparation and review of IPV (Independent Price Verification), FVA (Fair Value Adjustment), PVA (Prudent Valuation) and FVL (Fair Value Levelling). Supporting month-end, quarter-end and year-end financial close pr

Expert Data Analyst About the Role We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions. We are looking for an experienced Expert Data Analyst to provide services within a large-scale data and analytics programme in the financial services sector. The role combines advanced data analysis and transformation with responsibility for analytical workstreams. You will work with large-scale datasets, collaborate closely with business and technology stakeholders, and share expertise with other analysts within the team. The role offers exposure to sophisticated payment environments, modern security technologies, and transformation initiatives delivered for leading financial institutions. Key Responsibilities Coordinate complex data analysis and transformation activities across large-scale datasets Translate business requirements into effective data and analytical solutions Deliver hands-on data analysis using Python, SQL, and PySpark Support the development and improvement of data transformation pipelines Coordinate analytical workstreams and provide subject-matter support and knowledge sharing to other analysts Collaborate with business, technology, and data stakeholders Identify data issues, trends, and opportunities and communicate findings clearly Required Skills & Experience Strong hands-on experience with Python (upper-intermediate or above), SQL, and PySpark Experience working with large-scale datasets and data transformation pipelines Strong analytical and problem-solving skills Ability to translate business requirements into data solutions Experience coordinating analytical workstreams and sharing expertise with other analysts Strong stakeholder management and communication skills Experience within banking or financial services would be highly desirable Why Join Capco? At Capco, you will have the opportunity to join complex and business-c