H-1B1 Chile Visa Data Analyst Jobs
H-1B1 Chile visa sponsorship lets Chilean data analysts work in the U.S. without competing in the H-1B lottery. With an annual cap of 1,400 visas that rarely fills and consular processing instead of USCIS adjudication, qualified professionals can move faster from offer to start date than most other work visa pathways.
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As a Support Data Analytics Manager, you will lead a team of Business Intelligence Developers who deliver innovative BI solutions to help enable business growth and make Google Cloud Go-to-Market (GTM) teams more effective and efficient. Your team will build robust data pipelines and analytical models to support automated reporting and insight generation. This will allow teams to quickly and accurately track their metrics to make data driven decisions. You will be involved in projects from problem solving to design and delivery, ensuring that our workflows optimally deliver high-quality and relevant data to facilitate business needs. You will partner with members of GTM Strategy and Operations team to understand business problems and deliver innovative solutions.
You will manage a technical team responsible for all aspects of Single Source of Truth (SSOT) data engineering and Looker dashboards reporting with AI enablement (i.e. conversational analytics) for Cloud Support. In this critical role you will own the BI strategy and roadmap, navigate product and system and operational complexities, oversee the E2E full lifecycle of BI project implementation and roadmap execution, and lead the team forward into the next generation of AI enabled BI solutions. 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.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in a quantitative field (Statistics, Computer Science, Engineering, or Mathematics) or equivalent practical experience.
- 10 years of experience in data analytics or business intelligence.
- 5 years of leadership experience, such as people management, team lead, mentorship or coaching.
- Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
PREFERRED QUALIFICATIONS:
- Experience supporting global customer support organizations.
- Experience with AI-enabled BI solutions.
- Knowledge of Google Cloud Platform (GCP) and Workspace products and support processes.
- Familiarity with statistical modeling, machine learning, or data mining techniques.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
Responsibilities
- Lead and mentor a team of data engineers and analysts, fostering a culture of technical excellence and curiosity.
- Translate proactive cloud support strategy into the BI strategy and multi-year roadmap for the Cloud Support organization.
- Lead the team in the E2E execution of BI roadmap, including business requirements gathering, data access navigation, data engineering, metrics design and user journey based Looker dashboard reporting.
- Partner closely with the Looker Engineering team in advocating features for customer support, adopting and enabling AI capabilities to generate faster and better insights for business decision making (i.e., Gemini models, conversational analytics).
The US base salary range for this full-time position is $171,000-$248,000 + 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.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; San Francisco, CA, USA.
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.
INTRODUCTION
As a Support Data Analytics Manager, you will lead a team of Business Intelligence Developers who deliver innovative BI solutions to help enable business growth and make Google Cloud Go-to-Market (GTM) teams more effective and efficient. Your team will build robust data pipelines and analytical models to support automated reporting and insight generation. This will allow teams to quickly and accurately track their metrics to make data driven decisions. You will be involved in projects from problem solving to design and delivery, ensuring that our workflows optimally deliver high-quality and relevant data to facilitate business needs. You will partner with members of GTM Strategy and Operations team to understand business problems and deliver innovative solutions.
You will manage a technical team responsible for all aspects of Single Source of Truth (SSOT) data engineering and Looker dashboards reporting with AI enablement (i.e. conversational analytics) for Cloud Support. In this critical role you will own the BI strategy and roadmap, navigate product and system and operational complexities, oversee the E2E full lifecycle of BI project implementation and roadmap execution, and lead the team forward into the next generation of AI enabled BI solutions. 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.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in a quantitative field (Statistics, Computer Science, Engineering, or Mathematics) or equivalent practical experience.
- 10 years of experience in data analytics or business intelligence.
- 5 years of leadership experience, such as people management, team lead, mentorship or coaching.
- Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
PREFERRED QUALIFICATIONS:
- Experience supporting global customer support organizations.
- Experience with AI-enabled BI solutions.
- Knowledge of Google Cloud Platform (GCP) and Workspace products and support processes.
- Familiarity with statistical modeling, machine learning, or data mining techniques.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
Responsibilities
- Lead and mentor a team of data engineers and analysts, fostering a culture of technical excellence and curiosity.
- Translate proactive cloud support strategy into the BI strategy and multi-year roadmap for the Cloud Support organization.
- Lead the team in the E2E execution of BI roadmap, including business requirements gathering, data access navigation, data engineering, metrics design and user journey based Looker dashboard reporting.
- Partner closely with the Looker Engineering team in advocating features for customer support, adopting and enabling AI capabilities to generate faster and better insights for business decision making (i.e., Gemini models, conversational analytics).
The US base salary range for this full-time position is $171,000-$248,000 + 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.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; San Francisco, CA, USA.
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.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Analyst
Align your degree to SOC codes
Data analyst roles typically fall under SOC 15-2051. Pull the O*NET occupation profile for that code and confirm your Chilean degree field matches the listed educational requirements before applying. Misalignment triggers LCA complications.
Verify prevailing wage before negotiating
Use the OFLC Wage Search to look up the prevailing wage for data analyst roles in your target metro area. Your offer must meet or exceed the applicable wage level, and employers will check this when filing the LCA with DOL.
Target employers enrolled in E-Verify
H-1B1 Chile sponsors must be enrolled in E-Verify. Filter your search to companies already participating so you avoid pursuing roles where the employer can't legally complete sponsorship, saving weeks of wasted outreach.
Search H-1B1 Chile sponsorship on Migrate Mate
Use Migrate Mate to identify employers with active H-1B1 visa Chile filing history for data analyst roles. DOL Labor Condition Application data surfaces which companies have actually sponsored this visa category, not just posted generic sponsorship disclaimers.
Request consular processing confirmation early
Unlike H-1B, your H-1B1 Chile application goes directly to a U.S. consulate in Chile, not through USCIS. Confirm with your prospective employer that their immigration counsel knows this distinction before the offer letter is drafted.
Get your credential evaluation ready before interviews
Chilean university degrees often follow a five-year Licenciatura structure. Have a NACES-recognized evaluation completed in advance so hiring managers can confirm your degree satisfies the specialty occupation requirement without delaying the LCA filing.
Frequently Asked Questions
Does a data analyst role qualify as a specialty occupation under the H-1B1 Chile visa?
Yes, data analyst positions typically qualify because the role requires at minimum a bachelor's degree in a directly related field such as statistics, mathematics, computer science, or information systems. The employer confirms this when filing the Labor Condition Application with DOL. Roles where any unrelated degree is accepted may face scrutiny, so your job description and degree field both matter.
How does the H-1B1 Chile visa compare to the H-1B for data analysts?
The H-1B1 Chile visa skips the H-1B lottery entirely and processes at the consulate rather than through USCIS, which means a faster path to starting work once you have an offer. The annual cap is 1,400 for Chilean nationals and has never been exhausted. The tradeoff is that H-1B1 Chile does not confer dual intent, so maintaining nonimmigrant status requires care if you pursue permanent residency later.
How do I find employers who have actually sponsored H-1B1 Chile visas for data analysts?
Migrate Mate surfaces employer-level DOL Labor Condition Application data filtered by visa category, so you can see which companies have filed for H-1B1 Chile roles in data and analytics. This is more reliable than relying on job postings that mention visa sponsorship generically, since many employers sponsor H-1B but have never filed an H-1B1 Chile application.
How long does H-1B1 Chile consular processing take for a data analyst role?
After the employer's LCA is certified by DOL, which typically takes around seven business days, you schedule a visa interview at the U.S. consulate in Chile. Interview availability and administrative processing time vary by consulate workload. Most straightforward cases receive the visa stamp within a few weeks of the interview, though complex cases can take longer.
Can I switch data analyst employers while on H-1B1 Chile status?
Yes, but you need a new LCA and H-1B1 Chile application filed by the new employer before you start work. Unlike H-1B portability under AC21, there is no grace period that lets you begin with the new employer while paperwork is pending. Coordinate the transition carefully so there is no unauthorized gap between your current authorization and the new approval.
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