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.
Name of the
Organization: Google
Requisition
ID: 78412096873603782
Positions: Data
Analytics Apprenticeship, March 2025
Location: Hyderabad,
Gurugram, Mumbai or Bengaluru
Salary: As per
company Norms
Required
Qualifications:
- Bachelor's degree or equivalent practical experience.
- 1 year of experience in data analytics.
- 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.
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