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Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.). 5 years of experience coding in one or more programming languages. 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. Preferred qualifications: Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Math). Experience with data warehouses, large-scale distributed data platforms, and data lakes. Ability to navigate ambiguity in a fast-paced environment with multiple stakeholders. Excellent structured thinking skills, with the ability to break down complex, multi-dimensional problems. Excellent business and technical communication, organizational, and problem-solving skills. About the jobThe YouTube team helps budding creators build careers, artists and media companies reach audiences, and create products like YouTube Kids, YouTube Music, and YouTube TV. The YouTube Business Strategy and Operations team is responsible for driving all go-to-market functions for the YouTube business organization.As a Data Engineer within YouTube Analytics and Data Science, you will be part of a community of analytics professionals who work on impactful projects. You will build the data sets that help run the business, piping the relevant data into and out of our tools, and making it useful for analysts across the organization to drive reporting and insights. You will be responsible for democratizing YouTube’s business data, helping business leaders make sense of business operations through timely, accurate, and business intelligence. You will build and maintain the YouTube ETL systems to produce useful datasets, establish best practices for data sets and reporting, and develop a breadth of expertise in various data domains.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets. Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs. Design, build, and optimize the data architecture and Extract, Transform, and Load (ETL) pipelines. Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models. Engage with the analyst community, understand critical user journeys and data sourcing inefficiencies, advocate best practices and lead analyst trainings. Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience. 5 years of customer-facing experience designing and deploying distributed data processing systems with one or more technologies. Experience with SQL data bases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL data bases (e.g., Mongo, Cassandra.). Experience with different types of data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses. Preferred qualifications: Certification in Cloud. 5 years of experience in managing technical client service. Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, JavaScript. Experience in devising migration approaches, and migrating on premise data processing systems to Cloud. Experience designing and deploying large-scale distributed data processing systems with one or more technologies: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy. Knowledge of building and operationalizing data pipelines. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will work with customers on critical projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while directing customer executives and technical stakeholders on project related decisions. You will serve as a liaison between our customers and product teams to drive product excellence and adoption. In addition, you will also work with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Propose solution architectures and manage the deployment of cloud based databases, big data, and analytics solutions according to customer requirements and implement best practices. Travel up to 40% of the time for client engagements as needed. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: Experience with Adverse Impact Analysis or regulatory compliance audits. Experience working with sensitive HR or people data. Experience in statistical analysis (e.g., hypothesis testing, regression) and applying these methods to the business problems. Ability to automate manual analytical processes, such as self-service tools and AI agents. About the jobThis is a unique opportunity at Google to be at the forefront of applying AI/ML to solve complex people-analytics challenges at a global scale. You will leverage Google's people data and technology to develop and deploy innovative solutions that directly impact Googlers' lives. You will also play a crucial role in shaping the future of People Analytics by collaborating with cross-functional teams, upskilling colleagues in AI/ML, and fostering a data-driven culture within People Operations. You will make a real difference in the lives of Googlers while contributing to the advancement of AI/ML in the HR domain.Responsibilities Design, develop, and implement "repeatable solutions", such as custom AI agents, NLP models (sentiment/topic modeling), etc., to replace manual workflows with automated code. Lead the design and implementation of data pipelines to collect, process, and transform datasets from different sources into "AI-ready" formats. Conduct model evaluations and collaborate with teams to deploy ML solutions and automated pipelines into production environments. Partner with various teams to understand business problems, define project scope, and gather requirements for HR data products. Be a technical lead for annual external audits and adverse impact analysis by preparing validated datasets and translating regulatory requirements into data specifications. Apply the data science expertise within People Analytics domain to develop ML models and AI solutions. Communicate findings and technical concepts to technical and non-technical audiences. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Industrial engineering, Mechanical, or Electrical Engineering, a related technical field, or equivalent practical experience. 8 years of experience working as a Manufacturing Engineer in an industrial environment, within the Data Center space or Automotive production. Preferred qualifications: Certification in Six Sigma Black Belt, Lean Manufacturing. Experience with supplier technical evaluations, qualifications, and managing supplier relationships, with engineering and design software for modeling, analysis, and documentation. Experience with industry standards, including design guidelines for data center infrastructure. Understanding of Data Center cooling, with knowledge of electromechanical, networking, and mechanical assembly processes, tooling and equipment. Ability to lead complex manufacturing projects and mentor junior engineers, and to conduct data analysis to identify trends, root causes of defects, and measure manufacturing performance. Ability to travel up to 30%, and to identify and resolve manufacturing and quality issues. About the jobIn this role, your core mission is to bridge the gap between innovation and execution, ensuring the seamless flow of the product life-cycle from concept to delivery. You will drive product excellence through early engagement, utilizing comprehensive Design for Excellence (DFx) feasibility reviews and vendor capability assessments to eliminate red flag features and guarantee factory readiness.You will ensure operational precision by delivering accurate CapEx and tooling estimates, conducting should-cost analysis, and performing rigorous capacity validation via run-at-rate studies. You will be dedicated to building a resilient supply chain through proactive risk mitigation and test strategies. Furthermore, you will advocate operational excellence by optimizing material flow and driving continuous improvement through Lean manufacturing principles and Six Sigma methodologies to maximize efficiency and quality.Responsibilities Lead DFx reviews and generate Design for Manufacturing (DFM) reports during the concept readiness phase to identify and resolve red-flag features before design freeze. Validate production readiness through Run-at-Rate Validation reports and line balancing charts to align Takt time with cycle time. Execute vendor assessments and factory readiness gap analyses. Enforce process quality by reviewing process capability reports (Process Capability Index (Cpk) 1.33), control plans, and Measurement Systems Analysis reports during the pilot phase. Advocate risk management by leading PFMEAs with RPN reduction goals. Conduct Pareto and Eight Disciplines (8D) root cause analyses to resolve manufacturing issues. Optimize factory logistics via process flow diagrams and material plans to streamline production line supply. Validate test strategies and fixture designs, ensuring formal approval and sign-off. Oversee Engineering Change Order (ECO) implementations to re-validate fixtures as required. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience. 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL), or 2 years work experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.Responsibilities Own the full data science lifecycle, from problem definition and data extraction to statistical modeling and executive presentation with resolving product tests. Design, execute, and interpret A/B tests and multivariate experiments to validate product hypothesis and measure user impact. Define and track the Key Performance Indicators (KPIs) that measure product health, such as user engagement and ecosystem health. Partner with Product Managers (PMs), Product Marketing Managers (PMMs), Engineers, and User Experience (UX) Researchers to translate raw data into insights and recommendations. Apply advanced statistical techniques (e.g., regression, time-series forecasting, and causal modeling) to identify growth opportunities and predict the impact of future features. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 5 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 8 years of experience working on signal development, data analysis, cyber security or anti-abuse. Experience programming in one or more languages (e.g., Python, Golang). Experience working with complex engineering systems and processes. Experience with fraud/abuse investigations, fraud risk management, security and threat analysis in the context of internet, telephone, or communication-related products. Knowledge of SMS/MMS/RCS or SIM/phone number fraud and abuse. Excellent communication and presentation skills to deliver findings to cross-functional partners, and the ability to influence cross-functionally at various levels. About the jobTrust Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, youre a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The Trust and Safety (TS) team has the critical responsibility of protecting Googles users by ensuring online safety by fighting fraud and abuse across Google products.The Messaging Spam and Abuse team works on preventing abuse within the messaging ecosystem. We partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate and maintain abuse protections.In this role, you will understand the users point of view and will be passionate about using the technical, problem solving, and acumen to protect the users. You will work globally and cross-functionally with Google Engineers and Product Managers to navigate online safety situations and manage abuse and fraud at Google scale.At Google we work hard to earn our users’ trust every day. Trust Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Responsibilities Analyze emerging trends, conduct complex data analyses and identify new signals to develop solutions for scaled enforcement. Develop a deep understanding of abuse in messaging, current cross-product workflows and available intelligence. Translate abuse protection requirements into data modeling initiatives and build prototypes. Collaborate with Engineering, Product Managers, Program Manager groups to develop requirements documents based on robust data analysis and granular product understanding. Perform active threat monitoring, identify gaps in abuse detection and constantly update abuse rules based on evolving patterns. Create real-time awareness of threats and educate clients to reduce the problem upstream. Lead projects to prevent Google's infrastructure from being abused to harm users or commit financial fraud resulting in losses to users and/or Google. Collaborate with the carrier ecosystem to block bad actors (e.g., corrective/preemptive measures, fraud investigations). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with statistical analysis, modeling and inference. Preferred qualifications: PhD in a quantitative field. 10 years of experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. 5 years of leadership experience, including people management. Experience with Machine Learning (ML) on large datasets, with the ability to select the right statistical tools in a given data analysis problem. Understanding of potential outcomes framework and with causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators, with knowledge of structural econometric methods. Ability to set and drive technical strategy. About the jobAs a Technical Lead on Google’s Advertising Measurement team, you will apply scientific aptitude, excellence, precision, accuracy, expertise, thoroughness and statistical expertise to navigate the complex challenges of a global, privacy-preserving advertising ecosystem. Google is a pioneer in sustaining an open internet through a mutually-reinforcing cycle of ad-planning, optimization, and measurement; in this strategic leadership role, you will be the recognized authority driving that cycle forward. You will develop, organize, and launch large-scale projects spanning engineering and analysis across Search, Display, YouTube, and beyond. By translating advanced science specifically causal inference and quantitative methodologies into deployed products, you will lead the charge in defining paradigm-shifting measurement standards for the future of digital advertising. Working cross-functionally with Engineers, Product Managers, and Sales, you will adjust global strategies based on your findings, ensuring advertising remains useful for users and results-driven for publishers. We are seeking quantitatively trained experts with a passion for business strategy and a deep appreciation for consumer behavior. In this role, you won’t just improve products; you will empower an exceptional team to shape the marketing-technology industry globally. If you thrive in fluid, science-driven environments and are ready to leverage data and technology to solve modern advertising’s greatest challenges, your leadership will be the catalyst for the next era of innovation.Responsibilities Apply causal inference and differential privacy methods to design experiments, assess attribution, and develop privacy-preserving marketing products. Execute end-to-end analyses including data gathering, EDA, and model development to deliver strategic insights to executives. Build iterative analysis pipelines and prototype data structures to provide scalable insights across Google’s complex data ecosystems. Collaborate with Product and Engineering team to define and answer quantitative questions regarding incrementality, user behavior, and bidding optimization. Provide technical guidance and prioritization for the team, conduct cost-benefit analyses to drive high-level business decisions and product strategy. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.About the RoleLogitechs product ecosystem spans embedded hardware, desktop software, and cloud services, and the security of everything we build sits at the heart of what this team does.As a Product Security Architect, you will work across Logitechs full portfolio of internally built and self-hosted applications, providing security architecture guidance, threat modeling expertise, and hands-on consultancy to engineering teams throughout the product development lifecycle.Your scope will deliberately span both product and enterprise software. Whether you are reviewing the secure design of a companion desktop application or advising on the authentication architecture of an internal enterprise service, you will be the security voice that engineering teams turn to before problems emerge.You will work closely with Product Managers, Engineers, and fellow security team members, using a combination of deep technical expertise and modern AI-assisted tooling to embed security early and at scale across Logitechs engineering organization.What You Will DoSecure Architecture DesignDefine and own the secure architecture standards across Logitechs in-house built and self-hosted applications, spanning product ecosystems and enterprise servicesDesign secure communication pathways, trust boundaries, authentication frameworks, and cryptographic standards across our full software stackEstablish reusable, scalable security patterns that engineering teams can adopt without slowing down deliveryThreat Modeling Risk AdvisoryLead threat modeling exercises across new and existing products, leveraging AI models to accelerate baseline generation and focusing your expertise on complex, Logitech-specific attack vectorsIdentify architectural risks early in the SDLC and translate them into clear, prioritized, and actionable engineering requirementsMaintain a living view of our internal threat landscape and evolving attack surfaces, including AI-integrated product featuresInternal Security ConsultancyServe as the trusted security partner for Product Managers, Lead Engineers, and Engineering Directors during ideation and design phasesDrive security reviews and design consultations across multiple product squads simultaneously, ensuring security remains an accelerator rather than a blockerDefine testing scopes and critical attack paths to guide offensive security and validation effortsAI Feature Integration SecurityAct as the primary security authority for AI features being embedded into Logitech products and services — including on-device ML models, cloud-hosted LLM integrations, and AI data pipelinesDefine security guardrails for generative AI integrations, covering risks such as prompt injection, insecure output handling, and training data exposureWhat You BringExperience6 years in Application Security, Product Security, or Security Architecture roles covering a diverse and complex software portfolioDemonstrated experience designing secure architectures across both product-facing and enterprise internal applicationsTrack record of influencing engineering culture and embedding security practices early in the development lifecycleTechnical SkillsDeep expertise in threat modeling methodologiesStrong command of modern authentication and authorization protocols (OAuth 2.0, OIDC) and secure API design principlesSolid understanding of cryptographic fundamentals and their practical application in software systemsFamiliarity with cloud-native security architectures (AWS, GCP, or Azure) and self-hosted infrastructure securityWorking knowledge of secure SDLC frameworks (OWASP SAMM or equivalent)AI Modern Security PracticesPractical experience using AI and LLM tools to accelerate threat modeling, architecture reviews, or security researchUnderstanding of AI/ML security risks, including adversarial inputs, model extraction, prompt injection, and data pipeline securitySoft SkillsExceptional communication skills — you can speak to a firmware engineer and a VP of Engineering in the same day and be equally effective with bothStrong consultancy mindset: you influence without authority and build long-term trust with engineering teamsAcross Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in marketing analytics, return on investment analysis, and statistical modeling. Experience in designing and executing incrementality studies and A/B testing frameworks. Experience in managing external and internal stakeholder relationships and owning a portfolio of customers. Preferred qualifications: Experience in Media Mix Modeling (MMM), Incremenality and Multi-Touch Attribution (MTA) tools, with the ability to validate and integrate results from multiple measurement sources. Experience in SQL, Python, or R for building data models and gathering insights from datasets. Experience in defining measurement frameworks for mid-funnel and audience acquisition goals, and moving beyond traditional conversion tracking. Knowledge of the technical trends around privacy-safe measurement, conversion analytics, and attribution best practices. About the jobBusinesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Develop an understanding of client marketing and business goals (e.g., Marketing Objective/Client Business Objectives (MOs/CBOs)). Design measurement strategies and define sophisticated Key Performance Indicators (KPIs) tailored to client maturity and eligibility. Lead the execution of measurement studies including conversion lift, brand lift, and geo-based experiment. Ensure statistical significance (StatSig) on all uplift data. Utilize investigative skills to model experimental results and triage them into media plan Return on Investment (ROI) analysis. Analyze attribute lift across channels to inform channel strategy and budget allocation. Reconcile data sources (e.g., Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Incrementality) to provide a unified narrative of media effectiveness, help clients navigate the shift toward third-party measurement. Partner with in-market sales and product specialist teams to interpret measurement results for client leadership. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in business, finance, economics, statistics, or another quantitative field, or equivalent practical experience. 4 years of experience in financial planning and analysis (FPA), consulting, or a related function, or an advanced degree. Experience executing full-cycle FPA functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting. Preferred qualifications: Experience leading cross-functional project teams through strong problem-framing and problem-structuring skills and project management skills. Expertise with SQL and data visualization tools. Ability to communicate insights and narratives to a wide range of stakeholders including financial leadership and technical management teams. Ability to thrive in a fast-paced, dynamic environment. Excellent analytical and quantitative modeling skills. About the jobFinancial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges. In Google Cloud Security finance, our mission is to support our VP/GMs leading the development of Google Cloud’s strategic security portfolio. We partner with an organization whose mission is to develop our security products in order to be a trusted security partner in the AI era. We partner directly with our engineering, product management and product operations organizations who are responsible for developing these products in a competitive market. Google Cloud’s Security products span from prevention to active defense to ensure our customers and partners are secure in the agentic era. We help our partners deliver these critical products while managing profitability from top line to bottom line.Responsibilities Partner with engineering and product leadership to evaluate long-term financial plan, investment strategies, and new technology and product launches. Contribute to financial planning, forecasting, reporting, and allocation processes as well as automate and scale financial processes. Drive actionable analyses and recommendations for investment prioritization, resource optimization and efficiency improvements. Apply strong business judgment to develop a wide variety of reporting, Analytic tools and key performance indicators and to construct a deep understanding of how to optimize infrastructure cost and to guide business decisions. Partner with business and finance stakeholders on overall PL management. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.