•  Please complete your application before December 15, 2023. This role is not eligible for immigration sponsorship. Applicants must include both a resume and a cover letter with their application, clearly calling out their year of graduation. Cover letters should be concise (maximum of 1 page or 300 words ) describing why they would like to join the program, why they are a good fit and how they feel it will help them develop in their careers, highlighting their achievements and aspirations. 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; Gurgaon, Haryana, India; Bangalore, Karnataka, India; Mumbai, Maharashtra, India.

Please complete your application before December 15, 2023.

This role is not eligible for immigration sponsorship.

Applicants must include both a resume and a cover letter with their application, clearly calling out their year of graduation. Cover letters should be concise (maximum of 1 page or 300 words ) describing why they would like to join the program, why they are a good fit and how they feel it will help them develop in their careers, highlighting their achievements and aspirations.

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; Gurgaon, Haryana, India; Bangalore, Karnataka, India; Mumbai, Maharashtra, India.

Minimum qualifications:

• Bachelor's degree in any field
• Maximum 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

Preferred qualifications:

• Knowledge of data analysis or interest in working with numbers and patterns
• Basic understanding of of SQL Programming
• 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
• Ability to communicate in more than one Indian regional languages fluently

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 direct experience.

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

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.