Please complete your application before September 14, 2025.

This role is not eligible for immigration sponsorship.

ELIGIBILITY CRITERIA:

• Applicants should not have been enrolled in any prior Government Apprenticeship programs.

• Applicants must have their Aadhaar number linked to their active mobile number and have a personal email ID. This is a mandatory requirement for registration and verification.

PLEASE NOTE:

Apprentices are expected to complete the tenure of the respective program track to receive the certificate of completion in accordance with the program guidelines. This timeline ensures you get the full value of the program and are best prepared for future opportunities. Apprentices may apply for full-time employee (FTE) roles at Google only when they reach the final three months of the apprenticeship program.
 

This is a hybrid role, which requires regular in-person work at a Google office. Relocation is not supported during the apprenticeship. We are looking for candidates who are committed to successfully completing the entire program in a hybrid capacity.

The whole process will spread across 18 to 20 weeks, kindly be patient during the same.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurgaon, Haryana, India; Mumbai, Maharashtra, India.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• Less than 1 year of experience in data analytics post graduation.
• Experience with using Google Workspace (e.g., Gmail, Chrome, Docs, Sheets, etc.) or similar applications.
• Ability to communicate in English fluently, to understand and execute instructions and learn via training documentations and presentations.

Preferred qualifications:

• Understanding of SQL programming.
• Knowledge of data analysis or interest in working with numbers and patterns.
• Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
• Ability to work independently and within a team framework.
• Excellent problem solving and critical thinking skills.

The Google Data Analytics Apprenticeship is a learning and development program for 24 months, Apprentices are expected to join in person at their assigned in-office and participate full-time (~40 hours, weekly) throughout the program. The program includes work experience with a Google team supported by external training to empower those looking to start a career in Data Analytics. You will spend 20% of your time studying in a tailored training program and the rest of the time on projects with assigned Google teams to gain experience.

Selected applicants will be matched to a team and will need to colocate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru. Relocation assistance is provided for those who move +100km to their matched office location.

Apprenticeships are not a full-time permanent opportunity, the program is 24 months in duration. While the program is open to those who are interested in Data Analytics careers, recent graduates and individuals with work experience in other industries may apply.

At Google, we don’t just accept differences — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community.

Apprenticeships contribute towards the development of digital skills by providing opportunities for work and study. They can serve as part of your journey to a meaningful career. During the program, apprentices get exposure to different areas and teams at Google, while receiving external training and developing their professional skills on the job.

Responsibilities

• Assess data accurately and identify anomalies, create documents for knowledge sharing, and conduct custom analysis to uncover industry insights for Google's customers.
• Solve real life problems while developing and learning from working leaders. Use data to quantify the business impact of Google media recommendations.
• Gain an understanding of the data lifecycle and how this translates to different business units solving issues with data. Gain practice with a range of tools and techniques, distilling down data for actionable takeaways and making recommendations across different business groups.
• Develop knowledge of essential data analysis skills and use spreadsheets and programming languages to organize and analyze data.