Google Data Analytics Apprenticeship, March 2026 Start (English)
Job Role: Data Analytics Apprenticeship
Qualification: Bachelor’s degree or equivalent
Batch: Recent Batches
Experience: Freshers
Salary: ₹ 6 to 8 LPA (Expected)
Location: Bangalore, Hyderabad, Mumbai or Gurgaon
Last Date: September 14, 2025
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.Google Off Campus JobsData Analytics Apprenticeship
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.
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.
Apply Now
Qualification: Bachelor’s degree or equivalent
Batch: Recent Batches
Experience: Freshers
Salary: ₹ 6 to 8 LPA (Expected)
Location: Bangalore, Hyderabad, Mumbai or Gurgaon
Last Date: September 14, 2025
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.Google Off Campus JobsData Analytics Apprenticeship
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.
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.