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Minimum qualifications: Master's degree in Statistics or Economics, a related 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: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. About the jobAt Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, Exploratory Data Analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures, metrics, advocating for changes where needed for product development. 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.The Team:The Operations Quality and Consumer Customer Experience (CX) team is dedicated to enhancing customer satisfaction across the entire product lifecycle, ensuring outstanding product quality and a superior consumer experience. By channeling the Voice of Consumer to internal stakeholders, the team drives continuous improvement and data-informed decision-making. Focused on fostering customer loyalty and delivering consistent excellence, the team supports Logitechs strategy of becoming an Iconic brand through exceptional products and consumer experiences.The Role: The Data Analyst will work collaboratively with stakeholders, transforming both quantitative and qualitative consumer voice data into actionable insights through data mining, and driving continuous improvement initiatives as a result.The role also involves identifying opportunities to enhance product quality, elevate consumer experience, and optimize Quality and CX operations using advanced data analysis techniques.The Data Analyst will be responsible for analyzing Quality and CX data to monitor the health of product quality, consumer experience, and operational efficiency, while presenting findings to stakeholders and producing insightful reports and reviews.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Data Architecture Expertise: Serve as a subject matter expert in data structure, ensuring alignment with evolving business needs.Analytics Projects: Gather business requirements from diverse stakeholders (Engineering, Manufacturing, Consumer Experience, Quality, Finance, etc.), convert business questions into analytics initiatives, and independently perform analyses to deliver valuable insights.Insights Communication: Extract actionable insights to support strategic decisions, presenting findings to stakeholders in a clear and impactful manner.Extract user, transaction, and other system data to create comprehensive reports and drive informed decision-making.Fostering a Data Culture: Promote a data-driven mindset across teams to enhance decision-making and operational cohesion.Process Optimization: Collaborated with business stakeholders to standardize maintain key metrics, strengthen architectural decisions, and establish scalable processes.  Cross-functional Collaboration: Build and maintain strong, cooperative relationships with stakeholders to drive impactful initiatives and ensure alignment across teams.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:5 years of proven experience from a similar role, including at least 3 years in data analytics with data visualization.Strong Experience with data visualization tools,  preferable Tableau.Advanced SQL querying knowledge for data analysis. Snowflake experience is preferable.Experience with project managementHands on approach, leading by doing and never afraid of getting ‘muddy hands’Excellent communication skills in English.Proven ability to build strong, collaborative relationships across different levels and functions.A strong sense of ownership and proven experience driving cross-functional initiatives.In addition, below skills are a plus:Certified project management professional  (PMP or similar)Experience with programming tools such as Python, R.Basic knowledge of AI/ML technologies, GenAI, Agentic AI, MCP. Exposure to Claude, GeminiEducation:Bachelor or Masters in Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems or similar.#LI-MK1Across 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.

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.The Team:The Operations Quality and Consumer Customer Experience (CX) team is dedicated to enhancing customer satisfaction across the entire product lifecycle, ensuring outstanding product quality and a superior consumer experience. By channeling the Voice of Consumer to internal stakeholders, the team drives continuous improvement and data-informed decision-making. Focused on fostering customer loyalty and delivering consistent excellence, the team supports Logitechs strategy of becoming an Iconic brand through exceptional products and consumer experiences.The Role: Logitech is seeking a skilled and driven Quality and CX End-to-End  AI/ML Data Analyst to work collaboratively with stakeholders, transforming both quantitative and qualitative consumer voice data into actionable insights through data mining, and driving continuous improvement initiatives as a result.The role also involves identifying opportunities to enhance product quality, elevate consumer experience, and optimize Quality and CX operations using advanced data analysis techniques.The Data Analyst will be responsible for analyzing Quality and CX data to monitor the health of product quality, consumer experience, and operational efficiency, while presenting findings to stakeholders.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Data Architecture Expertise: Serve as a subject matter expert in data structure, ensuring alignment with evolving business needs.Analytics Projects: Gather business requirements from diverse stakeholders (Engineering, Manufacturing, Consumer Experience, Quality, Finance, etc.), convert business questions into analytics initiatives, and independently perform analyses using AI/ML technologies to deliver valuable insights.Insights Communication: Extract actionable insights to support strategic decisions, presenting findings to stakeholders in a clear and impactful manner.Extract user, transaction, and other system data to create comprehensive reports and drive informed decision-making.Leverage LLM/NLP technologies to analyze customer sentiments and identify opportunities for improvement.Fostering a Data Culture: Promote a data-driven mindset across teams to enhance decision-making and operational cohesion.Process Optimization: Collaborated with business stakeholders to standardize maintain key metrics, strengthen architectural decisions, and establish scalable processes.  Cross-functional Collaboration: Build and maintain strong, cooperative relationships with stakeholders to drive impactful initiatives and ensure alignment across teams.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:10 years of proven experience from a similar role, including at least 5 years in data analytics or data science.Proficiency in programming tools such as Python, R.In-depth knowledge of AI/ML technologies, GenAI, Agentic AI, MCP. Exposure to Claude, GeminiExperience with data visualization tools,  preferable Tableau.Basic SQL querying knowledge for data analysis.Strong experience with project management and change management principles, methodologies and tools.Hands on approach, leading by doing and never afraid of getting ‘muddy hands’Excellent communication skills in English.Proven ability to build strong, collaborative relationships across different levels and functions.A strong sense of ownership and proven experience driving cross-functional initiatives.In addition, below skills are a plus:Certified project management professional  (PMP or similar) Education:Bachelor or Masters in Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems or similar.#LI-MK1Across 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.

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.The Role:We are looking for a candidate to join our team who will be involved in the ongoing development of our Enterprise Data Warehouse (EDW) and supporting our POS [Point of Sale] Channel Data Management team. This role will include participating in the loading and extraction of data, including POS to and from the warehouse. The ideal candidate will be involved in all stages of the project lifecycle, from initial planning through to deployment in production. A key focus of the role will be data analysis, data modeling, and ensuring these aspects are successfully implemented in the production environment. Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will:Design, Develop, document, and test ETL solutions using industry standard tools.Ability to design Physical and Reporting Data models for seamless cross-functional and cross-systems data reporting.Enhance point-of-sale datasets with additional data points to provide stakeholders with useful insights.Ensure data integrity by rigorously validating and reconciling data obtained from third-party providers.Collaborate with data providers and internal teams to address customer data discrepancies and enhance data quality.Work closely across our DI teams to deliver datasets optimized for consumption in reporting and visualization tools like TableauCollaborate with channel data and cross-functional teams to define requirements for POS and MDM data flows.​​​​Support Customer MDM POS Adhoc Requests and Data Clarification from the Channel Data Team and the Finance Team.Collaborate with the BIOPS team to support Quarter-end user activities and ensure compliance with SOX regulations.Should be willing to explore and learn new technologies and concepts to provide the right kind of solution.Key Qualifications:For consideration, you must bring the following minimum skills and behaviors to our team:A total of 4 to 7 years of experience in ETL design, development, and populating data warehouses. This includes experience with heterogeneous OLTP sources such as Oracle R12 ERP systems and other cloud technologies.At least 3 years of hands-on experience with Pentaho Data Integration or similar ETL tools.Practical experience working with cloud-based Data Warehouses such as Snowflake and Redshift.Significant hands-on experience with Snowflake utilities, including SnowSQL, SnowPipe, Python, Tasks, Streams, Time Travel, Optimizer, Metadata Manager, data sharing, and stored procedures.Comprehensive expertise in databases, data acquisition, ETL strategies, and the tools and technologies within Pentaho DI and Snowflake.Demonstrated experience in designing complex ETL processes for extracting data from various sources, including XML files, JSON, RDBMS, and flat files.Exposure to standard support ticket management tools.A strong understanding of Business Intelligence and Data warehousing concepts and methodologies.Extensive experience in data analysis and root cause analysis, along with proven problem-solving and analytical thinking capabilities.A solid understanding of software engineering principles and proficiency in working with Unix/Linux/Windows operating systems, version control, and office software.A deep understanding of data warehousing principles and cloud architecture, including SQL optimization techniques for building efficient and scalable data systems.Familiarity with Snowflake’s unique features, such as its multi-cluster architecture and shareable data capabilities.Excellent skills in writing and optimizing SQL queries to ensure high performance and data accuracy across all systems.The ability to troubleshoot and resolve data quality issues promptly, maintaining data integrity and reliability. Strong communication skills are essential for effective collaboration with both technical and non-technical teams to ensure a clear understanding of data engineering requirements.In addition, preferable skills and behaviors include:Exposure to Oracle ERP environment,Basic understanding of Reporting tools like OBIEE, TableauEducation:BS/BTech/MS in computer science  Information Systems or a related technical field or equivalent industry expertise.Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.Across 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.

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.The Role:We are looking for a candidate to join our team who will be involved in the ongoing development of our Enterprise Data Warehouse (EDW) The Media and Marketing Data Enginee role will include participating in the loading and extraction of data, including external sources through API , Storage buckets( S3,Blob storage) and  marketing specific data integrations. The ideal candidate will be involved in all stages of the project lifecycle, from initial planning through to deployment in production. A key focus of the role will be data analysis, data modeling, and ensuring these aspects are successfully implemented in the production environment.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will:Design, Develop, document, and test ETL solutions using industry standard tools.Ability to design Physical and Reporting Data models for seamless cross-functional and cross-systems data reporting.Enhance point-of-sale datasets with additional data points to provide stakeholders with useful insights.Ensure data integrity by rigorously validating and reconciling data obtained from third-party providers.Collaborate with data providers and internal teams to address customer data discrepancies and enhance data quality.Work closely across our DI teams to deliver datasets optimized for consumption in reporting and visualization tools like TableauCollaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into data solutions.​​​​Participate in the design discussion with enterprise architects and recommend design improvementsDevelop and maintain conceptual, logical, and physical data models with their corresponding metadata.Work closely with cross-functional teams to integrate data solutions.Create and maintain clear documentation for data processes, data models, and pipelines. Integrate Snowflake with various data sources and third-party tools.Manage code versioning and deployment of Snowflake objects using CI/CD practicesKey Qualifications:For consideration, you must bring the following minimum skills and behaviors to our team:A total of 6 to 10 years of experience in ETL design, development, and populating data warehouses. This includes experience with heterogeneous OLTP sources such as Oracle R12 ERP systems and other cloud technologies.At least 3 years of hands-on experience with Pentaho Data Integration or similar ETL tools.Practical experience working with cloud-based Data Warehouses such as Snowflake and Redshift.Significant hands-on experience with Snowflake utilities, including SnowSQL, SnowPipe, Python, Tasks, Streams, Time Travel, Optimizer, Metadata Manager, data sharing, Snowflake AI/ML and stored procedures.Worked on API based integrations and marketing dataDesign and develop complex data pipelines and ETL workflows in Snowflake using advanced SQL, UDFs, UDTFs, and stored procedures (JavaScript/SQL).Comprehensive expertise in databases, data acquisition, ETL strategies, and the tools and technologies within Pentaho DI and Snowflake.Experience in working with complex SQL Functions Transformation of data on large data sets.Demonstrated experience in designing complex ETL processes for extracting data from various sources, including XML files, JSON, RDBMS, and flat files.Exposure to standard support ticket management tools.A strong understanding of Business Intelligence and Data warehousing concepts and methodologies.Extensive experience in data analysis and root cause analysis, along with proven problem-solving and analytical thinking capabilities.A solid understanding of software engineering principles and proficiency in working with Unix/Linux/Windows operating systems, version control, and office software.A deep understanding of data warehousing principles and cloud architecture, including SQL optimization techniques for building efficient and scalable data systems.Familiarity with Snowflake’s unique features, such as its multi-cluster architecture and shareable data capabilities.Excellent skills in writing and optimizing SQL queries to ensure high performance and data accuracy across all systems.The ability to troubleshoot and resolve data quality issues promptly, maintaining data integrity and reliability. Strong communication skills are essential for effective collaboration with both technical and non-technical teams to ensure a clear understanding of data engineering requirements.In addition, preferable skills and behaviors include:Exposure to Oracle ERP environment,Basic understanding of Reporting tools like OBIEE, TableauExposure to Marketing data platform like Adverity,Fivertran etcExposure to Customer data platformEducation:BS/BTech/MCA/MS in computer science  Information Systems or a related technical field or equivalent industry expertise.Fluency in English.Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.  “All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.” Across 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.

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.The Role:We are looking for a candidate to join our team who will be involved in the ongoing development of our Enterprise Data Warehouse (EDW) and supporting our POS [Point of Sale] Channel Data Management team. This role will include participating in the loading and extraction of data, including POS to and from the warehouse. The ideal candidate will be involved in all stages of the project lifecycle, from initial planning through to deployment in production. A key focus of the role will be data analysis, data modeling, and ensuring these aspects are successfully implemented in the production environment.  Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will: Design, Develop, document, and test ETL solutions using industry standard tools.Ability to design Physical and Reporting Data models for seamless cross-functional and cross-systems data reporting.Enhance point-of-sale datasets with additional data points to provide stakeholders with useful insights.Ensure data integrity by rigorously validating and reconciling data obtained from third-party providers.Collaborate with data providers and internal teams to address customer data discrepancies and enhance data quality.Work closely across our DI teams to deliver datasets optimized for consumption in reporting and visualization tools like TableauCollaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into data solutions.​​​​Participate in the design discussion with enterprise architects and recommend design improvementsDevelop and maintain conceptual, logical, and physical data models with their corresponding metadata.Work closely with cross-functional teams to integrate data solutions.Create and maintain clear documentation for data processes, data models, and pipelines. Integrate Snowflake with various data sources and third-party tools.Manage code versioning and deployment of Snowflake objects using CI/CD practices Key Qualifications:For consideration, you must bring the following minimum skills and behaviors to our team:A total of 6 to 10 years of experience in ETL design, development, and populating data warehouses. This includes experience with heterogeneous OLTP sources such as Oracle R12 ERP systems and other cloud technologies.At least 3 years of hands-on experience with Pentaho Data Integration or similar ETL tools.Practical experience working with cloud-based Data Warehouses such as Snowflake and Redshift.Significant hands-on experience with Snowflake utilities, including SnowSQL, SnowPipe, Python, Tasks, Streams, Time Travel, Optimizer, Metadata Manager, data sharing, Snowflake AI/ML and stored procedures.Design and develop complex data pipelines and ETL workflows in Snowflake using advanced SQL, UDFs, UDTFs, and stored procedures (JavaScript/SQL).Comprehensive expertise in databases, data acquisition, ETL strategies, and the tools and technologies within Pentaho DI and Snowflake.Experience in working with complex SQL Functions Transformation of data on large data sets.Demonstrated experience in designing complex ETL processes for extracting data from various sources, including XML files, JSON, RDBMS, and flat files.Exposure to standard support ticket management tools.A strong understanding of Business Intelligence and Data warehousing concepts and methodologies.Extensive experience in data analysis and root cause analysis, along with proven problem-solving and analytical thinking capabilities.A solid understanding of software engineering principles and proficiency in working with Unix/Linux/Windows operating systems, version control, and office software.A deep understanding of data warehousing principles and cloud architecture, including SQL optimization techniques for building efficient and scalable data systems.Familiarity with Snowflake’s unique features, such as its multi-cluster architecture and shareable data capabilities.Excellent skills in writing and optimizing SQL queries to ensure high performance and data accuracy across all systems.The ability to troubleshoot and resolve data quality issues promptly, maintaining data integrity and reliability. Strong communication skills are essential for effective collaboration with both technical and non-technical teams to ensure a clear understanding of data engineering requirements. In addition, preferable skills and behaviors include:Exposure to Oracle ERP environment,Basic understanding of Reporting tools like OBIEE, Tableau Education:BS/BTech/MCA/MS in computer science  Information Systems or a related technical field or equivalent industry expertise.Fluency in English. Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.  “All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.” Across 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 in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 2 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 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. 3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL). Understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling (MMM). Excellent communication and presentation skills with the ability to influence stakeholders. 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.Responsibilities Execute defined, moderately difficult investigative tasks under guidance from the manager or executive team member/TL. Execute end-to-end analysis with minimal guidance. Manage workload to reflect the priorities set by the team, work towards a timeline, and communicate slippage. Handle data communication, limits, and importance. Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators (KPIs) for Google Ads measurement products. Select appropriate approaches from clear options to address technical challenges under guidance from managers or executive team members.  Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development. Communicate data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners. 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. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (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. Experience with Google Ads products and technologies. Familiarity with privacy-preserving technologies and data regulations (e.g., GDPR, CCPA). Knowledge of machine learning techniques and their applications in advertising. Understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and Media Mix Modeling (MMM). 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.Responsibilities Execute defined, moderately difficult analytical tasks under guidance from the manager or team member/team lead. For straightforward problems, execute end-to-end analysis with minimal guidance. Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators (KPIs) for Google Ads measurement products.  Communicate complex data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners. Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development. 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. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of experience with a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience in product analytics within payments, e-commerce, or financial services. Ability to manage and organize work sprints for themselves and a team of analysts. 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. As the key analyst on Forms of Payments (FOPs) and Business-to-Consumer (B2C) analytics, you will shape Payments products and solutions, helping our leaders make data-driven decisions. You will lead a critical part of Payments that focuses on acquiring the usage of nearly one billion users with FOPs across all Google Surfaces. You will drive analytics for FOPs launches globally, improving cards and non cards types, driving transaction performance, capturing the Quality and Value from FOPd users, as well as managing FOPs Risk and Compliance. You will also play an important role in our interactions on B2C analytics with Play and You Tube to improve Buyflows, Purchase Readiness, Conversion and UI on these critical Google products.Responsibilities Shape the future of Google Payments by leveraging data and analytics to drive decisions, influence strategy, and create business impact across the organization. Identify and solve ambiguous problems, transforming data into insights that influence leadership decisions. Lead projects that align with the organizational strategy, deliver insights that help business decisions. Contribute to the development and alignment of team Objectives and Key Results (OKRs) and analytics strategy to ensure they support the product and business goals across the Payments organization. Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision-making. 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 Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience. 3 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role. 3 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g. Python, R, Java, C++). Preferred qualifications: Experience in a Sales or Customer Service environment. Understanding of engineering practices; e.g., development of BRDs/PRDs/Design Docs, checking in and reviewing code, etc. Knowledge of data analysis tools (R, Python) and techniques (experimental analysis, predictive modeling, machine learning, etc.). Excellent problem-solving skills, with ability to synthesize data into useful formats and bring actionable insights through effective communication. About the jobGoogle's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. In this role, you will provide data-driven insights and problem-solving support for the gTech Ads organization. You will be focused on solving strategic and operational problems by working with large amounts of data that reside on the internal systems, conceptualizing and building problem-solving solutions, generating data insights, translating them into actionable recommendations, and influencing important business decisions.Responsibilities Use data to conduct data-oriented analysis, architect metrics, synthesize information, solve problems, and influence business decision-making by presenting insights and market trends.  Design and implement various integrations between business objectives, and design and build strategies that support these business systems.  Conduct strategic analysis, optimize business performance, and deliver execution within product and function.  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.