147 Google Analytics jobs in the United States
Google Analytics Specialist
Posted 15 days ago
Job Viewed
Job Description
About the job Google Analytics Specialist
We are seeking an innovative thinker with exceptional attention to detail and problem-solving skills to work within their Agency. The core responsibilities for this role include overseeing the execution of Google Analytics and Google Tag Manager technical implementations, troubleshooting configurations, and performing detailed site analysis and reporting. There is also the need to define and conduct multivariate website testing experiments, on behalf of our clients. Experience working with web data and web analytics-oriented tools is a must. Google Analytics, Data Studio and Google Optimize platforms are most preferable, as well as Tableau for data visualization needs.
What you will be doing:
- Outline and manage custom Google Analytics and Tag Manager implementations and account configurations based on unique data needs and business requirements
- Audit and/or troubleshoot existing implementations to ensure data quality
- Conduct website "deep dives" and on-demand analysis for our clients, specifically centered around Google Analytics and marketing campaign analysis.
- Present and effectively communicate data and insights to high level clients. Strong communicator and adept at providing supporting evidence for recommendations and suggestions offered.
- Identify data patterns (positive or negative) as they impact advertising campaigns underway, along with site usability or performance.
- Collaborate with technical and non-technical personnel, internally (colleagues) and externally (clients) for questions, support and training.
- Help drive the company's revenue in this area, while aiding in support and services for existing clients relying on this product.
- 2+ years overseeing the implementation and configuration of Google Analytics and/or other web data platforms.
- Familiarity with Google Analytics 4.
- Some experience with JavaScript and HTML.
- An understanding of data gathering, analysis, specification, verification and management practices and the ability to apply them in practice. .to include Page Tag Concepts.
- Documentation for governance and methodical QA process are required.
- Experience with Google Data Studio and Optimize very helpful.
- Extreme attention to detail.
- Excellent communication skills with non-technical and technical people.
- Strong interest in web analytics and statistical methodologies.
- Core critical thinking skills reqd.
- B.A. / B.S. Preferred.
- Solid understanding of user experience practices and principals.
- Strong problem-solving skills.
- Ability to adapt well in a fast-paced environment.
Google Data Analytics
Posted 29 days ago
Job Viewed
Job Description
Google Data Analytics Professional Certificate Get on the fast track to a career in Data Analytics. In this certificate program, you’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required. Earn a career credential that demonstrates your expertise 4.8 (155,257 reviews) Recommended experience 6 months, 10 hours a week Learn at your own pace Earn a Certificate With paid plans What you'll learn Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau) Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms See how employees at top companies are mastering in-demand skills Professional Certificate - 8 course series Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are over 251,000 open jobs in data analytics with a median entry-level salary of $95,000 in the U.S.¹ Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months. Upon completion, you can directly apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, Verizon, and of course, Google. 75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion² ²Based on program graduate survey, United States 2022 This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job. Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming In addition to expert training and hands-on projects, you'll complete a case study that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. Build toward a degree When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹ This Professional Certificate has ACE recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution. Why people choose Coursera for their career “ It is a beautifully crafted on-ramp to the world of data analytics. Using the tools I learned in the certificate, I created a portfolio of work samples that showcased my ability as an analyst, and I successfully transitioned out of education and secured a full-time position in data analytics. Learning from the U.S. “ It is a beautifully crafted on-ramp to the world of data analytics. Using the tools I learned in the certificate, I created a portfolio of work samples that showcased my ability as an analyst, and I successfully transitioned out of education and secured a full-time position in data analytics. Learning from the U.S. Get access to all these courses and more with a subscription Unlock access to 10,000+ courses with a subscription Explore roles and skills, learn more effectively with Coursera Coach, and earn recognized credentials Advance your career with an online degree Earn a degree from world-class universities - 100% online Join over 3,400 global companies that choose Coursera for Business Upskill your employees to excel in the digital economy What kind of companies hire Data Analytics professionals? ¹ Median salary and job opening data are sourced from Lightcast Job Postings Report.Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024)All other job roles (5/1/2024 - 5/1/2025)² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022. #J-18808-Ljbffr
Software Engineer - Data Analytics & Tools
Posted 2 days ago
Job Viewed
Job Description
Start date: As soon as possible Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots designed for household use. Our mission is to create an abundant supply of labor via safe, intelligent humanoids. We strive for excellence in all we do, solving some of the hardest problems in robotics with the world’s most talented individuals. Every part of our robots is designed and produced in-house—from motor coils to AI—reflecting our vertically integrated approach. At 1X, you’ll own real projects, be recognized for your achievements, and rewarded based on merit. We believe the best work is done when collaborating and therefore require in-person presence in our office locations. We are seeking a highly skilled Software Developer with deep expertise in database development, data analysis, and data analytics tool creation. In this role, you will be responsible for integrating and normalizing data from diverse sources, building performant data pipelines, and creating powerful visualization tools (Power BI, Tableau, custom dashboards) that enable precise decision-making, progress tracking, and issues management across the organization. Why this job is exciting Shape data infrastructure and analytics tools critical to the future of humanoid robotics Build decision intelligence systems that drive real-world outcomes for 50+ DoF biped robots In time, your work will support thousands of robots operating safely in dynamic environments Responsibilities Design, develop, and optimize manufacturing and supply chain databases, data warehouses, and ETL pipelines to integrate data from diverse sources Architect data models and normalization strategies to ensure consistency, accuracy, and usability Build and maintain analytics and visualization tools using Power BI, Tableau, and custom dashboards Collaborate with manufacturing, supply chain, and engineering teams to define KPIs and reporting solutions Develop systems for tracking progress against schedules, forecasting capacity, and managing risks Optimize queries and database performance for large-scale datasets Implement data governance, security, and quality control mechanisms Requirements 5+ years developing databases, data pipelines, and analytics tools Strong expertise in SQL and Python (Pandas, SQLAlchemy) Proficiency with Power BI and Tableau for dashboards, KPIs, and data storytelling Experience integrating data from ERP, MES, and SCM systems as well as relational (PostgreSQL, MySQL, MS SQL Server) and NoSQL (MongoDB, Redis) databases Solid understanding of data modeling, normalization, and database design Familiarity with cloud data platforms (Azure, AWS, GCP) and services (Redshift, BigQuery, Snowflake) Strong analytical and problem-solving skills Excellent communication abilities with both technical and non-technical stakeholders Nice-to-haves Experience with CI/CD for data solutions Proficiency in DAX, M, or other data transformation languages Exposure to machine learning or advanced analytics Background in domains requiring high-precision operational decision-making (i.e. manufacturing, logistics, supply chain, automotive, robotics, aerospace) Location Policy We believe the best work is done when collaborating and therefore require in-person presence in our office locations. Not sure if this is you? If you’re excited about 1X and this role but not sure if you qualify, apply anyway! You may be the right candidate for this or other roles. 1X is an inclusive and equal-opportunity employer that values diversity. We consider all qualified applicants regardless of race, religion, gender, age, sexual orientation, disability, or any other protected class. If you have a disability or special need that requires accommodation, please let us know. We will do our best to accommodate your needs. We're excited to get to know you and the prospect of having you on board! #J-18808-Ljbffr
Customer Engineer II, Data Analytics, Google Cloud
Posted 15 days ago
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience with cloud native architecture in a customer-facing or support role.
+ Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
+ Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
+ Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
+ Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
+ Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
+ Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaging dynamics and customer buying behavior.
+ Ability to understand customer requirements and break down requirements and design technical architectures.
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
In this role, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help customers and partners understand the power of Google Cloud, develop cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-ends and all aspects of the data lifecycle. You will use the expertise and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
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.
The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( .
+ Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
+ Share data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
+ Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
+ Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and request for information (RFI) responses.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Customer Engineer II, Data Analytics, Google Cloud
Posted 15 days ago
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience with cloud native architecture in a customer-facing or support role.
+ Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
+ Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
+ Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
+ Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
+ Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
+ Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaging dynamics and customer buying behavior.
+ Ability to understand customer requirements and break down requirements and design technical architectures.
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
In this role, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help customers and partners understand the power of Google Cloud, develop cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-ends and all aspects of the data lifecycle. You will use the expertise and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
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.
The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( .
+ Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
+ Share data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
+ Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
+ Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and request for information (RFI) responses.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Customer Engineer II, Data Analytics, Google Cloud
Posted 15 days ago
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience with cloud native architecture in a customer-facing or support role.
+ Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
+ Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
+ Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
+ Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
+ Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
+ Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaging dynamics and customer buying behavior.
+ Ability to understand customer requirements and break down requirements and design technical architectures.
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
In this role, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help customers and partners understand the power of Google Cloud, develop cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-ends and all aspects of the data lifecycle. You will use the expertise and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
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.
The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( .
+ Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
+ Share data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
+ Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
+ Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and request for information (RFI) responses.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Customer Engineer II, Data Analytics, Google Cloud
Posted 15 days ago
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience with cloud native architecture in a customer-facing or support role.
+ Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
+ Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
+ Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
+ Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
+ Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
+ Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaging dynamics and customer buying behavior.
+ Ability to understand customer requirements and break down requirements and design technical architectures.
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
In this role, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help customers and partners understand the power of Google Cloud, develop cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-ends and all aspects of the data lifecycle. You will use the expertise and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
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.
The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( .
+ Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
+ Share data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
+ Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
+ Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and request for information (RFI) responses.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
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About the latest Google analytics Jobs in United States !
Customer Engineer II, Data Analytics, Google Cloud
Posted 15 days ago
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience with cloud native architecture in a customer-facing or support role.
+ Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
+ Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
+ Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
+ Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
+ Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
+ Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaging dynamics and customer buying behavior.
+ Ability to understand customer requirements and break down requirements and design technical architectures.
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
In this role, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help customers and partners understand the power of Google Cloud, develop cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-ends and all aspects of the data lifecycle. You will use the expertise and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
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.
The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( .
+ Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
+ Share data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
+ Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
+ Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and request for information (RFI) responses.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Staff Quantitative UX Researcher, Data Analytics Google Ads
Posted 1 day ago
Job Viewed
Job Description
Minimum qualifications:
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience in an applied research setting, or similar.
+ Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
+ Experience utilizing quantitative methods in user persona or segmentation research.
Preferred qualifications:
+ Master's or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
+ 8 years of experience conducting UX research on products.
+ 7 years of experience working with executive leadership (e.g., Director level and above).
+ 5 years of experience managing projects, and working in a large, matrixed organization.
At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Quantitative User Experience Researchers make this possible.
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, needs, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google's businesses.
As a Quantitative User Experience Researcher (Quant UXR), you'll help inform your team of UXers, product managers, and engineers about user needs. You'll play a critical role in creating useful, usable, and delightful products. You'll work with stakeholders across functions and levels and have impact at all stages of product development.
You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You'll combine skills in behavioral research design, statistical methods, and general programming to improve user experience.
The Quantitative UXR community at Google will help you do your best work. You'll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $178,000-$265,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( .
+ Influence stakeholders across functions to gain support for research-based, user-centric solutions.
+ Drive project priorities in alignment with larger project goals, and coordinate allocation of resources within the project. Identify opportunities to expand responsibilities within and across a product.
+ Lead ideas to improve products and services through research-driven insights and recommendations.
+ Drive teams to define and evaluate product, service, and ecosystem impact.
+ Lead goal and strategy discussions through research by analyzing, consolidating, or synthesizing what is known about users, product, service, or business needs.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Staff Quantitative UX Researcher, Data Analytics Google Ads
Posted 1 day ago
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Job Description
Minimum qualifications:
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience in an applied research setting, or similar.
+ Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
+ Experience utilizing quantitative methods in user persona or segmentation research.
Preferred qualifications:
+ Master's or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
+ 8 years of experience conducting UX research on products.
+ 7 years of experience working with executive leadership (e.g., Director level and above).
+ 5 years of experience managing projects, and working in a large, matrixed organization.
At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Quantitative User Experience Researchers make this possible.
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, needs, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google's businesses.
As a Quantitative User Experience Researcher (Quant UXR), you'll help inform your team of UXers, product managers, and engineers about user needs. You'll play a critical role in creating useful, usable, and delightful products. You'll work with stakeholders across functions and levels and have impact at all stages of product development.
You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You'll combine skills in behavioral research design, statistical methods, and general programming to improve user experience.
The Quantitative UXR community at Google will help you do your best work. You'll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $178,000-$265,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( .
+ Influence stakeholders across functions to gain support for research-based, user-centric solutions.
+ Drive project priorities in alignment with larger project goals, and coordinate allocation of resources within the project. Identify opportunities to expand responsibilities within and across a product.
+ Lead ideas to improve products and services through research-driven insights and recommendations.
+ Drive teams to define and evaluate product, service, and ecosystem impact.
+ Lead goal and strategy discussions through research by analyzing, consolidating, or synthesizing what is known about users, product, service, or business needs.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: