About the Job
Google is hiring for its Data Analytics Apprenticeship (March 2027 Start), a paid 24-month work-and-study program designed for individuals who want to build a career in data analytics. Apprentices spend approximately 80% of their time working on real business projects with Google teams and 20% in structured learning and professional development, helping them develop practical analytical and technical skills. :contentReference[oaicite:0]{index=0}
During the apprenticeship, you'll work with large datasets to identify trends, clean and organize data, create reports and dashboards, and generate insights that support business decisions. You'll collaborate with experienced Google professionals while gaining hands-on experience in data analysis, visualization, SQL, spreadsheets, reporting, and business analytics. :contentReference[oaicite:1]{index=1}
Job Overview
Eligibility Criteria
- Bachelor's degree in any discipline from a recognized university.
- Candidates with less than one year of relevant work experience in Data Analytics or a related field after graduation.
- Experience using Google Workspace (Docs, Sheets, Slides, Gmail) or similar productivity tools.
- Basic understanding of Data Analytics, Data Visualization, Spreadsheets, SQL, Statistics, and Business Intelligence is preferred.
- Strong analytical thinking, problem-solving, communication, and attention to detail.
- Ability to interpret data, identify trends, and present insights in a clear and meaningful way.
- Applicants must be eligible to work in India and be available to complete the 24-month full-time apprenticeship program.
Key Responsibilities
- Collect, clean, organize, and validate data from multiple sources to ensure accuracy and consistency for business analysis.
- Analyze datasets to identify trends, patterns, and actionable insights that support data-driven business decisions.
- Create reports, dashboards, and visualizations using spreadsheets and data visualization tools to communicate findings effectively.
- Collaborate with cross-functional teams to understand business requirements and provide analytical support for ongoing projects.
- Write and optimize basic SQL queries to retrieve, analyze, and manage structured data efficiently.
- Monitor key performance metrics, prepare analytical reports, and present insights to stakeholders in a clear and meaningful manner.
- Support process improvement initiatives by identifying opportunities to improve data quality, reporting, and operational efficiency.
- Participate in structured learning while continuously developing skills in data analytics, business intelligence, statistics, visualization, and analytical problem-solving.
Skills Required
- Data Analysis – Basic understanding of data collection, data cleaning, data interpretation, and extracting meaningful business insights from datasets.
- SQL & Databases – Familiarity with SQL queries, relational databases, data retrieval, filtering, aggregation, and basic database concepts.
- Spreadsheets & Reporting – Proficiency in Google Sheets or Microsoft Excel, including formulas, pivot tables, charts, and data organization.
- Data Visualization – Basic knowledge of creating dashboards, charts, and reports using tools such as Looker Studio, Tableau, or Power BI.
- Statistics & Analytical Thinking – Understanding of basic statistics, trend analysis, data validation, problem-solving, and logical reasoning.
- Business Intelligence – Ability to translate data into actionable insights that support business decisions and improve operational performance.
- Google Workspace & Productivity Tools – Experience using Google Docs, Sheets, Slides, Gmail, and similar collaboration tools.
- Professional Skills – Strong communication, attention to detail, teamwork, adaptability, time management, and a continuous learning mindset.
Skills to Add in Your Resume
TECHNICAL SKILLS
| Data Analytics | Data Cleaning, Data Analysis, Data Interpretation, Data Validation |
| SQL & Databases | SQL, MySQL, PostgreSQL, Relational Databases, Query Writing |
| Spreadsheets | Google Sheets, Microsoft Excel, Pivot Tables, VLOOKUP/XLOOKUP, Charts |
| Data Visualization | Looker Studio, Power BI, Tableau, Dashboard Creation, Reporting |
| Programming | Python (Basics), Pandas, NumPy (Preferred), Data Manipulation |
| Statistics | Descriptive Statistics, Trend Analysis, Business Metrics, Analytical Thinking |
| Google Workspace | Google Sheets, Docs, Slides, Gmail, Collaboration Tools |
| Professional Skills | Problem Solving, Communication, Attention to Detail, Teamwork, Time Management |
ATS Resume Tip: Include keywords such as Data Analytics, SQL, Microsoft Excel, Google Sheets, Data Visualization, Power BI, Tableau, Looker Studio, Python, Statistics, Business Intelligence, Dashboard Creation, Problem Solving, and Analytical Thinking. Highlight data analytics projects, dashboards, internships, certifications, Kaggle projects, GitHub repositories, and measurable achievements to improve your ATS score and increase your chances of getting shortlisted.
Who Can Apply?
- Recent graduates and candidates with less than one year of relevant work experience who want to build a career in Data Analytics, Business Intelligence, or Data-driven Decision Making.
- Candidates holding a Bachelor's degree in any discipline from a recognized university.
- Applicants interested in Data Analytics, SQL, Data Visualization, Business Intelligence, Reporting, and Business Analysis.
- Individuals with strong analytical thinking, logical reasoning, attention to detail, communication, and problem-solving skills.
- Candidates who enjoy working with data, identifying trends, creating dashboards, and collaborating with cross-functional teams to solve business problems.
- Applicants who are eligible to work in India and can commit to Google's 24-month full-time Data Analytics Apprenticeship.
Benefits
- Gain hands-on experience by working with real-world datasets and business analytics projects alongside Google teams.
- Receive structured learning, professional training, and mentorship from experienced Google data and business professionals throughout the 24-month apprenticeship.
- Develop practical skills in data analysis, SQL, spreadsheets, dashboards, data visualization, reporting, and business intelligence.
- Work with Google's data tools, modern analytics platforms, and AI-powered technologies used to support business decision-making.
- Strengthen analytical thinking, problem-solving, communication, data storytelling, and stakeholder collaboration skills.
- Build a strong professional network and gain valuable industry experience that can open future career opportunities in Data Analytics, Business Intelligence, Data Science, Product Analytics, and Business Analysis.
Estimated Stipend
How to Apply
01
Visit the Official Google Careers Website
Click the Apply Now button below to open the official Google Careers page for the Data Analytics Apprenticeship.
02
Sign In to Your Google Account
Log in with your existing Google account or create one if you're applying through Google Careers for the first time.
03
Complete the Online Application
Fill in your personal, educational, and professional details accurately. Carefully review all information before submitting your application.
04
Upload Your ATS-Friendly Resume
Upload your latest resume highlighting your SQL, Excel, data analytics projects, dashboards, certifications, internships, technical skills, and relevant achievements.
05
Submit Your Application
Review your application carefully and submit it through the official Google Careers portal. Keep checking your registered email for updates regarding assessments and interview rounds.
Resume Tip
Tailor your resume by highlighting SQL, Microsoft Excel, Google Sheets, Data Analytics, Data Visualization, Power BI, Tableau, Looker Studio, Python, Statistics, Business Intelligence, Dashboard Creation, Analytical Thinking, and Problem Solving. Include data analytics projects, dashboards, Kaggle competitions, internships, certifications, GitHub repositories, and measurable achievements to improve your chances of getting shortlisted.
Before You Apply
Important Information
- Job information is compiled from official Google Careers pages and other publicly available sources for informational purposes only.
- The stipend mentioned is an estimate based on publicly available information unless officially disclosed by Google.
- TechJobsAlert does not charge any fee for job updates or applications and is not involved in the recruitment or selection process.
- Program details, eligibility criteria, locations, responsibilities, and application deadlines may change without prior notice. Always verify the latest information on the official Google Careers website before applying.