If you’re a data professional aiming to work on high-impact project at global scale, Uber has opened an exciting opportunity in Hyderabad. The Data Analyst II role in Support Operation (community Operation) is designed for specialists who can blend technical expertise with strategic thinking. This position focuses on forecasting reporting, and analytics innovation that drive Uber’s customer support excellence.
Uber’s Community Operations team lies to build trust with riders, drivers, seamless experiences worldwide. For those passionate about data analysis, forecasting models, and customer experience optimization, this position offers both challenges and growth
Overview Table: Data Analyst II-Uber Hyderabad
| Job Tile | Data Analyst II-Support Operations |
| Location | Hyderabad, India |
| Department | Community Operations (GPSA-SOPA Team) |
| Key Focus | Forecasting, Strategic Initiatives Data Product Development |
| Experience Required | 6+ years in analytics, BI, or data Science |
| Core Skills | SQL, Python, Tableau/Looker/Streamlit, Forecasting Models |
| Preferred Skills | Data pipelines, team leadership, customer support analytics |
| Collaboration style | Cross-functional with global stakeholders |
| Apply Link | Apply Now |
Table of Contents
Why This Role Matters at Uber
Every Uber ride, delivery, or customer interaction produces valuable data. The support Operations Analytics team takes on the challenge of transforming this vast information into forecasts, performance tracking, and insights that improve real-world experiences.
As a Data Analyst II, you won’t just crunch numbers-you’ll influence how Uber scales support, plans resources, and solves complex challenges. From demand forecasting to leadership dashboards, your work ensures Uber’s operations remain both efficient and customer-centric.
Key Responsibilities-Data Analyst II Job at Uber Hyderabad-
Here’s how you’ll make an impact in this role:
- Forecasting and Prediction
- Build and enhance forecasting models using time series, causal methods, and machine learning techniques. For example, predicting rider support volume during peak travel seasons helps Uber allocate resources smarter.
- Data Tools and Products
- Develop dashboards, reports, and self-service analytics platforms using tools like Tableau, Looker, and Streamlit. these tools will empower everyone-from executives to support agents-to make informed decisions.
- Analytics Project Management
- Own projects end-to-end: defining problems, setting roadmaps, aligning stakeholders, and delivering on time. Expect to translate technical finding into clear, actionable insights for business leaders.
- Root – Cause Analysis
- Go beyond the surface to answer the “why” behind performance shifts. For instance, analyzing why driver support requests spike after new app features roll, out, and presenting recommendations to improve adoption.
- Collaboration with leaders
- Partner with program managers and global leaders to ensure insights directly guide strategic improvements and customer experience goals.
Skills and Qualification You’ll Need
- Basic Qualifications
- 6+years of experience in data science, analytics, or business intelligence (startup or fast-growth environments are a plus).
- Strong grounding in machine learning, supervised/unsupervised learning, and model evalution.
- Expertise in time-series forecasting tools such as ARIMA or Prophet.
- Proficiency in SQL an Python, with experience in deploying and monitoring models.
- Ability to create compelling visualization in Tableau, PowerBI, Looker, or Streamlit.
- Strong statistical knowledge, experimentation methods, and data storytelling.
- Familiarity with Agile tools like Jira for project management.
- Excellent communication Skills in English.
Preferred Qualification
- Hands – on knowledge of data pipelines and table design.
- Leadership experience in guiding teams of analysts.
- Proven collaboration with data engineering and cross-functional teams.
- Growth -oriented mindset, with aspirations to scale and lead teams in the future.
- Understanding of customer support metrics and data systems.
Why Join Uber’s Community Operations Analytics Team
Uber isn’t just about moving people and goods-it’s about solving problems at scale. Here’s what makes this opportunity stand out :
- Massive Impact: Your work affects millions of riders, drivers, and delivery partners worldwide.
- Cutting-Edge Tools: Work with advanced forecasting machine learning models, and visualization platforms.
- Cross-Functional Exposure: Collaborate with program mangers, engineers, analysts, and global leaders.
- Growth Opportunities: Uber values professionals who take ownerships and aspire to build their careers future.
- Cultural Identity: Offices like Hyderabad are hubs of innovation, collaboration and knowledge sharing.
Work Environment and Expectations
Uber emphasizes collaboration and innovation. Employees are encouraged to spend at least half of their time working from the assigned office, while certain positions (like Greenlight Hub roles) are fully office-based Flexibility is provided for medical or religious accommodations.
This hybrid model ensures balance: face-to-face teamwork for strategic discussions, and remote flexibility for focused tasks.
How to Apply- Data Analyst II Job at Uber Hyderabad
If this role resonates with you, Uber welcomes applicants who are ready to contribute their skills to a global leader in mobility and technology.
Apply Here for – Data Analyst II at Uber Hyderabad
Frequently Asked Question (FAQ)
Q1. What is the main focus of the Data Analyst II role at Uber Hyderabad ?
The role centers on forecasting, data analysis, and strategic insights within Uber’s Community Operations team. Analysts build models, dashboards, and tools to guide decision-making across global support operations.
Q2. What tools and programming language should applicants know?
Candidates should be proficient in SQL, Python, Tableau/Looker/Streamlit, and familiar with forecasting techniques like ARIMA or Prophet.
Q3. How much experience is required for this position?
Uber is seeking applicants with 6+ years of professional experience in analytics, data science, or business intelligence.
Q4. Does the role involve managing a team?
While direct leadership experience is not mandatory, it is a preferred qualification. Applicants with experience guiding analysts or working closely with data engineering teams will stand out
Q5. What kind of forecasting is expected in this role?
The role involves using advanced time-series and machine learning forecasting methods to predict customer support demand, enabling Uber to allocate resources effectively.
Q6. Is the role fully remote?
No, Uber expects employees to spend at least 50% of their work time in the Hyderabad office, unless formally approved otherwise.
Q7. What growth opportunities does Uber offer in this role?
Uber encourages a growth mindset. Data Analysts II can evolve into senior analysts, team leads, or managers within analytics, operations, or cross-functional strategy.
Conclusion
The Data Analyst II role at Uber Hyderabad is more than just job-it’s a chance to shape how millions experience Uber worldwide. By combining technical expertise in forecasting and analytics with strategic thinking. you’ll directly influence customer support systems and operational efficiency.
If you’re passionate about data-driven decision making and building scalable solutions, this opportunity you at the cutting edge of analytics innovation.
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