Minimum qualifications:

• Bachelor's degree in any field
• Less than 1 year of relevant 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:

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

About the job

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 hands-on experience.

Selected applicants will be matched to a team and will need to co-locate, teams could be in Hyderabad, Gurugram, Mumbai or Bengaluru.

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.