📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Uber 👥 Experience 1-3 years 🎓 Qualification Bachelor's Degree 📅 Eligible Batch 2021, 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹10–18 LPA* 🏢 Industry Technology 🛠 Key Skills SQL Python Excel Tableau Power BI Data Visualization Data Analyst I, Tech at Uber — Full Details & How to Apply Uber is seeking a Data Analyst I, Tech in Bengaluru, Karnataka, India , where you can leverage your SQL and Python skills to impact millions of users globally. This role offers a unique chance to contribute to Uber's data-driven decision-making processes, enhancing operational efficiency and user experience. The demand for Data Analyst I, Tech jobs is surging in the technology sector, with companies like Uber leading the charge. As organizations increasingly rely on data insights, this position plays a crucial role in shaping strategies that affect millions of users. The ability to analyze data trends and provide actionable insights is more critical than ever, making this role not just relevant but essential in the tech field. What sets Uber apart as an employer is its scale and commitment to innovation. Founded in 2009 , Uber has grown to employ over 22,000 individuals worldwide and operates in more than 900 metropolitan areas . This expansive reach means that your work as a Data Analyst will directly influence the company's operational efficiency and user experience, making your contributions significant on a global scale. We encourage 2021, 2022, 2023, 2024, 2025 graduates with a Bachelor's Degree and 1-3 years experience to apply for this role. With a competitive salary range of ₹10–18 LPA* , this position is ideal for freshers looking to kickstart their careers in data analytics. In this role, you will gain hands-on experience with advanced data visualization tools like Tableau and Power BI , which are less emphasized in competing firms. This exposure not only enhances your technical skill set but also opens doors for career progression into senior analyst or data scientist roles within 2-3 years , making it a strategic step in your professional journey. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Data Analyst I at Uber is to leverage data-driven insights to enhance operational efficiency and support strategic business decisions through rigorous analysis and collaboration. Analyze large datasets using SQL to extract meaningful insights that drive business decisions and improve performance metrics. Utilize Python for data manipulation and statistical analysis, employing libraries like Pandas and NumPy to support various projects. Collaborate with product and engineering teams to understand data requirements and deliver actionable insights that align with business objectives. Monitor key performance metrics and prepare reports using Excel to track business performance and identify areas for improvement. Take ownership of data quality initiatives to ensure accuracy and reliability in reporting, enhancing trust in data-driven decisions. Document findings and communicate results effectively to stakeholders through presentations, utilizing Tableau for visual representation. Solve complex data-related problems and provide support to internal teams as needed, ensuring timely resolution of issues. This role fosters an ownership culture, allowing you to make a direct impact on Uber's data strategy and operational success through your analytical contributions. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile that combines technical expertise with effective communication to translate data insights into actionable strategies. Technical Skills SQL — intermediate — crucial for querying databases and extracting data relevant to business needs, expected proficiency in writing complex queries. Python — intermediate — used for data analysis and automation, familiarity with libraries like Pandas and NumPy is essential. Excel — advanced — daily usage for data manipulation and analysis, including advanced functions and pivot tables. Tableau — intermediate — essential for creating interactive dashboards and visualizations to present data insights effectively. Power BI — intermediate — utilized for developing reports and visualizations that communicate data findings to stakeholders. Soft Skills & Professional Competencies Strong communication skills — necessary for articulating data findings to non-technical stakeholders, ensuring clarity and understanding. Analytical thinking — essential for solving complex data-related problems and deriving actionable insights from large datasets. Attention to detail — critical for maintaining data quality and accuracy in reporting, which impacts business decisions. Collaboration skills — important for working effectively with cross-functional teams to meet data requirements and project goals. Good to Have (Bonus Skills) Experience with machine learning concepts — can enhance data analysis capabilities and open up advanced project opportunities. Familiarity with cloud platforms like AWS or Google Cloud — beneficial for data storage and processing. Knowledge of statistical analysis techniques — can improve the depth of insights derived from data. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world scenarios. Eligibility Criteria This role is designed for candidates who meet the educational and experiential requirements, ensuring a strong foundation for analytical rigor in data analysis. Bachelor's Degree in fields like Computer Science , Statistics , or Mathematics is preferred for analytical rigor. Eligible batches include 2021 to 2025 , ensuring freshers have the latest academic knowledge. 1-3 years of experience is required, but freshers with relevant internships or projects are encouraged to apply. A minimum CGPA of 7.0 is preferred to ensure a strong academic foundation. Having a portfolio or GitHub showcasing data projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Submit your resume in a clear format that highlights your educational background, relevant skills, and any data projects. Include links to your portfolio or GitHub for additional context. Pro tip: Tailor your application to highlight specific experiences with SQL and Python , as these are critical for the role. Salary for Data Analyst I, Tech at Uber 💰 Compensation ₹10–18 LPA* The advertised compensation for the Data Analyst I, Tech role at Uber is ₹10–18 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Uber The selection process for the Data Analyst I, Tech role at Uber is designed to assess both technical skills and cultural fit. 1 Online Assessment — 60 minutes, testing SQL and Python skills through multiple-choice questions. 2 Technical Interview — focuses on data analysis concepts, SQL queries, and Python coding. 3 Behavioral Interview — assesses cultural fit and problem-solving abilities through situational questions. 4 HR Interview — discusses salary expectations, company culture, and offers a timeline of 1-2 weeks. Topic-wise Preparation Guide Round 1: Online Assessment SQL Queries — understanding joins, subqueries, and aggregations is crucial for this role. — W3Schools Python Basics — focus on data manipulation and libraries like Pandas. — Khan Academy Data Interpretation — practice interpreting data visualizations and reports. — freeCodeCamp Statistical Concepts — review basic statistics relevant to data analysis. — Coursera Round 2: Technical Interview Advanced SQL — proficiency in complex queries and optimization techniques. — GeeksForGeeks Python Libraries — depth in using Pandas and NumPy for data analysis. — Udemy Data Visualization — understanding best practices in Tableau and Power BI. — YouTube Business Metrics — familiarize yourself with key performance indicators relevant to Uber. — LinkedIn Learning Problem-Solving — practice case studies that require analytical thinking. — HackerRank Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method for role-specific scenarios. — MindTools Team Collaboration — discuss experiences working in cross-functional teams. Technical Deep-Dive — be ready to explain your past projects and the tools used. Timeline & Expectations The typical timeline from application to offer is approximately 1-2 weeks , depending on the number of candidates. Prepare thoroughly for each round, as Uber values both technical proficiency and cultural fit. Expected Interview Questions for Data Analyst I, Tech at Uber These questions are based on the role's actual tech stack and responsibilities. Technical Questions How would you write a SQL query to find the top 10 customers by revenue? Explain how you would use Python to clean a dataset. What are the differences between inner join and outer join in SQL? How do you handle missing data in a dataset? Describe a data visualization project you worked on and the tools used. What statistical methods do you use to analyze data trends? Behavioral Questions Describe a time when you had to work under pressure to meet a deadline. How do you prioritize tasks when managing multiple projects? Tell me about a time you had to explain complex data to a non-technical audience. What motivates you to work in data analysis? Role-Specific Questions What tools have you used for data visualization, and how did they impact your analysis? Can you describe a challenging data problem you solved? How do you ensure data accuracy in your analyses? Structure your answers using the STAR method to clearly convey your experiences and thought processes. Resume Tailoring & ATS Keywords for Data Analyst I, Tech Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include Data Analyst SQL Python Excel Tableau Power BI Data Visualization Data Analysis Statistical Analysis Bengaluru Hybrid Work Uber Resume Tips for This Role Highlight your proficiency in SQL and Python, as these are critical for this role. Emphasize any relevant internships or projects that showcase your analytical skills. Include a link to your portfolio or GitHub to demonstrate your practical experience. Optimize your resume for ATS by using keywords from the job description. Avoid including irrelevant work experience that does not relate to data analysis. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include unrelated work experience that may dilute your qualifications for this role. About Uber Founded in 2009 , Uber has rapidly expanded its operations, now serving over 900 metropolitan areas across the globe. Headquartered in San Francisco, California , the company has transformed the transportation landscape, impacting millions of users daily through its innovative services. Uber Eats , Uber Freight , and the core ride-sharing platform are just a few of the services that showcase Uber 's commitment to innovation. Each platform is designed to enhance user experience, making transportation and food delivery more accessible and efficient for everyone. With a Glassdoor rating of 4.0 , Uber fosters a culture that prioritizes diversity and inclusion. Employee programs such as the Uber Women’s Network and Black@Uber highlight the company’s dedication to creating a supportive work environment for all employees. Recently, Uber announced a substantial investment in AI technology, aiming to enhance its data analytics capabilities. This initiative reflects the company's focus on leveraging cutting-edge technology to improve its services and operational efficiency. For freshers in technology, Uber offers unparalleled access to advanced tools and technologies. Working on projects that shape the future of transportation provides a unique opportunity to kickstart a rewarding career in the tech industry. Why Join Uber as Data Analyst I, Tech? Joining Uber as a Data Analyst I, Tech means gaining hands-on experience with essential tools like SQL and Python , which are critical for data analysis in a tech-centric role. Practical Skills Development — Gain expertise in Tableau and Power BI , enhancing your data visualization capabilities and marketability in the tech industry. Career Advancement Opportunities — After 1-2 years, transition into roles such as Senior Data Analyst or Data Scientist , leveraging your experience at a leading tech firm. Collaborative Culture — Experience a unique learning environment that encourages knowledge sharing, setting Uber apart from traditional firms. Flexible Work Model — Enjoy a hybrid work model that promotes a balanced lifestyle while working in the vibrant city of Bengaluru . Innovative Projects — Work on cutting-edge projects that utilize the latest technologies, providing a platform for professional growth and innovation. According to NexisGrow.com, starting your career at Uber as a Data Analyst I, Tech positions you at the forefront of technological advancements, offering invaluable experience in a rapidly evolving industry. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Analyst I, Tech at Uber? Eligibility Tap to expand + Answer Candidates with Bachelor's Degree and 1-3 years experience are eligible. Eligible batches: 2021, 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: SQL, Python, Excel, Tableau, Power BI. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹10–18 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Uber? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: SQL, Python, Excel, Tableau, Power BI. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Analyst I, Tech interview? Preparation Tap to expand + Answer (1) Core concepts of SQL, Python, Excel, Tableau, Power BI, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Uber research, (5) Clear communication. ? What is the work culture like at Uber? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs More jobs at Uber Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com