Business Data Analyst Jobs at Google with Visa Sponsorship
Business Data Analyst roles at Google sit at the intersection of product, finance, and engineering, requiring candidates who can translate complex datasets into strategic decisions. Google has a well-established process for sponsoring work visas across multiple categories, making it a realistic target for international candidates in this function.
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Get Access To All JobsThe application window will be open until at least April 30, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.
MINIMUM QUALIFICATIONS:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
PREFERRED QUALIFICATIONS:
- Master's degree in Computer Science, Statistics, Economics, Engineering or Mathematics.
- 5 years of experience in data science or quantitative analytics with focus on statistical modeling, machine learning, and AI.
- 5 years of experience in business visualization tools e.g., Looker, Tableau, etc.
- Experience working with large datasets in a distributed system and with SQL and Python.
- Experience with Google Cloud platform (GCP).
- Excellent technical skills with an ability to collaborate with technical partners and influence technical outcome of the project.
ABOUT THE JOB
Google'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.
Cloud Learning Services (CLS) is revolutionizing cloud learning. We empower users of all levels with interactive labs and guided experiences to build practical skills on Google Cloud Platform and other leading technologies. Our mission is to make the cloud accessible, engaging, and enjoyable to learn.
As a Business Data Scientist, you will play a key role in uncovering valuable insights from various data sources to solve critical business issues. You will manage a range of exciting projects, from establishing new measurement frameworks to identifying meaningful patterns in large datasets, driving LLMs, ultimately empowering stakeholders to make data-driven decisions.
You will determine the most effective investigative approaches to address business problems and will clearly and effectively communicate your findings to decision-makers with varying technical backgrounds. You will influence data-driven decision-making across the organization and contribute to impactful outcomes. This role is for a detail-oriented and problem-solver with a strong foundation in data analytics, data visualization, and AI/ML. You will have excellent communication and stakeholder management skills as you will collaborate extensively with cross-functional teams.
The US base salary range for this full-time position is $163,000-$237,000 + 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.
Responsibilities
- Extract insights from large datasets and build data products like dashboards to operationalize them, driving measurable improvements in key performance indicators (KPIs).
- Present and communicate insights and recommendations to executives, leaders, and cross-functional partners, including product, engineering, and marketing teams.
- Serve as a peer-reviewer and consultant to other members of the team, fostering a collaborative and knowledge-sharing environment.
- Drive the development and operationalization of AI/ML to enable data-driven decisions at scale.
- Learn and share knowledge of the latest advancements in AI/ML and data science that are relevant to our work.
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.
The application window will be open until at least April 30, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.
MINIMUM QUALIFICATIONS:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
PREFERRED QUALIFICATIONS:
- Master's degree in Computer Science, Statistics, Economics, Engineering or Mathematics.
- 5 years of experience in data science or quantitative analytics with focus on statistical modeling, machine learning, and AI.
- 5 years of experience in business visualization tools e.g., Looker, Tableau, etc.
- Experience working with large datasets in a distributed system and with SQL and Python.
- Experience with Google Cloud platform (GCP).
- Excellent technical skills with an ability to collaborate with technical partners and influence technical outcome of the project.
ABOUT THE JOB
Google'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.
Cloud Learning Services (CLS) is revolutionizing cloud learning. We empower users of all levels with interactive labs and guided experiences to build practical skills on Google Cloud Platform and other leading technologies. Our mission is to make the cloud accessible, engaging, and enjoyable to learn.
As a Business Data Scientist, you will play a key role in uncovering valuable insights from various data sources to solve critical business issues. You will manage a range of exciting projects, from establishing new measurement frameworks to identifying meaningful patterns in large datasets, driving LLMs, ultimately empowering stakeholders to make data-driven decisions.
You will determine the most effective investigative approaches to address business problems and will clearly and effectively communicate your findings to decision-makers with varying technical backgrounds. You will influence data-driven decision-making across the organization and contribute to impactful outcomes. This role is for a detail-oriented and problem-solver with a strong foundation in data analytics, data visualization, and AI/ML. You will have excellent communication and stakeholder management skills as you will collaborate extensively with cross-functional teams.
The US base salary range for this full-time position is $163,000-$237,000 + 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.
Responsibilities
- Extract insights from large datasets and build data products like dashboards to operationalize them, driving measurable improvements in key performance indicators (KPIs).
- Present and communicate insights and recommendations to executives, leaders, and cross-functional partners, including product, engineering, and marketing teams.
- Serve as a peer-reviewer and consultant to other members of the team, fostering a collaborative and knowledge-sharing environment.
- Drive the development and operationalization of AI/ML to enable data-driven decisions at scale.
- Learn and share knowledge of the latest advancements in AI/ML and data science that are relevant to our work.
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.
See all 58+ Business Data Analyst at Google jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Data Analyst at Google roles.
Get Access To All JobsTips for Finding Business Data Analyst Jobs at Google Jobs
Tailor your portfolio to Google's data stack
Google Business Data Analyst roles consistently require proficiency in SQL, BigQuery, and Looker. Build and document portfolio projects using these tools specifically, because hiring managers screen for hands-on fluency, not just familiarity listed on a resume.
Distinguish analyst tracks before you apply
Google posts Business Data Analyst roles across multiple product areas, including Ads, Cloud, and YouTube. Targeting a specific vertical lets you align your application materials to that team's business context, which meaningfully improves your chances of clearing the initial recruiter screen.
Research which visa category fits your background
Google sponsors H-1B, H-1B1, and E-3 visas for this role. If you're Australian, the E-3 avoids the H-1B lottery entirely and can be filed directly at a U.S. consulate. Confirm with your recruiter early which category applies to your nationality and current status.
Clarify Google's internal sponsorship process at the offer stage
Large tech employers like Google use in-house immigration teams rather than outside counsel for initial filings. Ask your recruiter at the offer stage whether your role qualifies for premium processing, which reduces USCIS adjudication to 15 business days and gives you a firm start date to plan around.
Use Migrate Mate to surface verified sponsorship openings
Finding Business Data Analyst roles where Google is actively hiring and sponsoring visas requires filtering beyond standard job boards. Migrate Mate curates verified sponsorship-eligible listings so you can focus your applications on roles where the visa pathway is already confirmed.
Business Data Analyst at Google jobs are hiring across the US. Find yours.
Find Business Data Analyst at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Business Data Analysts?
Yes, Google sponsors H-1B visas for Business Data Analyst roles. The role qualifies as a specialty occupation under USCIS guidelines because it requires at minimum a bachelor's degree in a relevant field such as statistics, economics, computer science, or a related quantitative discipline. Google's in-house immigration team manages the filing process once an offer is extended.
Which visa types does Google use for Business Data Analyst roles?
Google sponsors H-1B, H-1B1, and E-3 visas for Business Data Analyst positions. The H-1B applies to most nationalities but requires clearing the annual lottery. The H-1B1 is available to citizens of Chile and Singapore, and the E-3 is available exclusively to Australian citizens. Both the H-1B1 and E-3 bypass the H-1B lottery entirely, which makes timeline planning more predictable.
How do I apply for Business Data Analyst jobs at Google?
Applications go through Google's careers portal at careers.google.com. Search for Business Data Analyst roles filtered by location and team. Google's hiring process typically involves an initial recruiter screen, one or two technical rounds focused on SQL and analytical problem-solving, and a final round of case-based interviews. Visa sponsorship is discussed after an offer is extended, not during early screening rounds.
What qualifications does Google expect for Business Data Analyst candidates needing sponsorship?
Google expects a bachelor's degree in a quantitative field such as statistics, mathematics, economics, or computer science, along with demonstrated experience in SQL, data visualization tools, and cross-functional stakeholder work. For visa purposes, your degree must align with the role's specialty occupation classification. Candidates with degrees from outside the U.S. may need a credential evaluation to confirm equivalency before USCIS adjudicates the petition.
How do I find Business Data Analyst roles at Google that offer visa sponsorship?
Not every Business Data Analyst posting at Google explicitly states visa sponsorship availability upfront. Migrate Mate aggregates sponsorship-verified job listings, including open roles at Google, so you can identify positions where the visa pathway is confirmed before investing time in the application process. This is especially useful if you're on OPT with a limited runway and need to prioritize employers actively filing.
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