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Google

Data Analytics Apprenticeship - March 2027 Start

Google

Bengaluru, Karnataka, India • Teilzeit

Bewerben Sie sich als Erste/r!

Erfahrung
1+ Jahre
Gehalt
Stellenangebote
1
Veröffentlicht
vor 17 Stunden
Arbeitsmodus
Im Büro
Ausbildung
Bachelor-Abschluss
Teilnahmeberechtigung
Applicants with a bachelor's degree and at least one year of relevant data analytics experience post-graduation are eligible. Recent graduates and those with prior work experience in other sectors interested in pursuing a career in data analytics may apply. Proficiency in English and ability to wor…
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Stellenbeschreibung

About the Program

The Data Analytics Apprenticeship at Google is a comprehensive 24-month learning and development experience designed to equip individuals seeking a career in data analytics with both practical work exposure and formal training. Apprentices are required to participate full-time, working approximately 40 hours per week, onsite at one of Google's office locations in Hyderabad, Bengaluru, Gurugram, or Mumbai. The program structure involves dedicating about 20% of work time to specialized training while spending the remainder engaged in team projects to develop hands-on skills.

Throughout the apprenticeship, participants will collaborate closely with various Google teams, leveraging data to address real-world business challenges and enhancing their professional skillsets. The role is not a permanent full-time position, and apprentices have the opportunity to apply for full-time roles at Google only during the last three months of their tenure.

Qualifications and Eligibility

  • Bachelor's degree in any discipline.
  • At least one year of relevant post-graduation experience in data analytics.
  • Proficient usage of Google Workspace tools such as Gmail, Chrome, Docs, and Sheets, or equivalent applications.
  • Fluent English communication skills, with the ability to comprehend and follow instructions as well as learn effectively through training materials and presentations.

Preferred but not mandatory qualifications include a keen interest in data analysis, numerical patterns, the capacity to work autonomously and collaboratively, strong problem solving and critical thinking abilities, comfort with navigating ambiguous situations and seeking advice as necessary, and familiarity with SQL programming.

Key Responsibilities

  • Analyze data meticulously to detect inconsistencies and produce documentation to facilitate knowledge sharing.
  • Conduct custom analytical work to extract meaningful insights that support Google's clients.
  • Address complex problems using data-driven approaches while learning from experienced professionals.
  • Understand the complete data lifecycle and its application across various Google business units.
  • Utilize diverse tools and analytical techniques to distill data into actionable recommendations for different teams.
  • Develop core data analysis expertise, employing spreadsheets and programming languages to manage and interpret data efficiently.

Additional Information and Terms

  • Applicants must state their preferred work location from Hyderabad, Bengaluru, Gurugram, or Mumbai at the time of application.
  • Transfers between locations are not permitted after onboarding.
  • This apprenticeship program is not eligible for immigration sponsorship.
  • Applicants are required to include a resume with their application clearly indicating their graduation year.
  • The recruitment process spans approximately 18 to 24 weeks; applicants are asked to be patient throughout.
  • The position is available until August 3, 2026.

Equal Opportunity Employer

Google is committed to fostering a diverse and inclusive workplace. The company provides equal employment opportunities irrespective of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or criminal record in accordance with legal requirements. Accommodations for candidates with disabilities or special needs are available upon request.

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