Uber is Hiring Data Analyst II 2025 | Hyderabad – Apply Now!

Uber is Hiring Data Analyst II 2025:-

Uber is hiring candidates for the role of “Data Analyst in the Hyderabad location of India. The complete details about Data Analyst Job Openings In Uber are given below.

Company :-Uber Careers
Job Role :Data Analyst II
Location :-Hyderabad
Salary :-As Per Company Standards
Last Date to Apply :ASAP

About the Role:-

  • At Uber, providing world-class support that builds trust with riders, drivers, and partners is core to our product experience.
  • The Global Planning, Strategy, and Analytics (GPSA) team plays a critical role in understanding Community Operations (CommOps) and optimizing its impact.
  • Within GPSA, the Support Operations Analytics (SOPA) Network Analytics team pioneers how we manage global BPO partner support data and transform it into actionable insights.
  • To advance this mission, we are hiring a Data Analyst II (Forecasting & Strategic Initiatives). In this role, you will help reimagine how we forecast demand, manage reporting, and generate strategic insights that shape Uber’s customer experience.

Basic Qualifications:-

  • 6+ years of experience in business analytics, data science, business intelligence, or related fields (experience in high-growth or startup environments strongly preferred).
  • Strong grounding in core data science concepts: supervised/unsupervised learning, feature engineering, model evaluation.
  • Proficiency in time-series forecasting methods (e.g., ARIMA, Prophet) and designing scalable data models.
  • Hands-on experience operationalizing data science models (deployment, monitoring, optimization).
  • Proficiency in SQL and Python.
  • Proficiency in visualization tools like Tableau/PowerBI/Looker/Streamlit
  • Strong statistical and experimentation skills.
  • Demonstrated ability to influence decisions through data storytelling and insights.
  • Familiarity with Agile sprint management tools (e.g., Jira).
  • Self-starter with proven ability to independently manage projects and prescribe analytical frameworks.
  • Fluent in written and spoken English.

Preferred Qualifications:-

  • Hands-on experience building data pipelines and designing tables.
  • Experience leading a team of analysts.
  • Experience collaborating closely with data engineering teams.
  • Experience working in highly matrixed, cross-functional environments.
  • Growth mindset with long-term aspirations to build and scale teams.
  • Understanding of customer support data

Responsibilities:-

  • Maintain and enhance an internally developed forecasting tool (developed on python base with streamlit frontend) by leveraging advanced data science techniques.
  • Apply advanced forecasting models and analytics methods (e.g., time series, causal modeling, machine learning approaches) to predict demand and provide forward-looking insights that guide long-term planning.
  • Design and develop leadership-level and operational data products (using Tableau/Looker/streamlit etc) that democratize insights across the organization. Create dashboards, reports, and self-service tools that empower stakeholders at all levels,  from executives to front-line teams, to make informed decisions and track performance against strategic goals.
  • Independently manage end-to-end analytics projects, from problem definition to execution and delivery. Develop clear roadmaps, align stakeholders on scope, and drive timely execution, while ensuring transparency through crisp, consistent communication at every stage.
  • Partner with program managers and business leaders to go beyond surface-level metrics, uncovering not just the what but the why behind Uber’s most pressing customer experience challenges. Bring analytical rigor to root-cause analysis and ensure findings directly inform operational and strategic improvements.

Uber is Hiring Data Analyst II 2025 Application Process:-

Interested candidates can apply from the given below link.

Apply Link:- Click Here To Apply

Note:- Only the shortlisted candidates will be notified for the further interview process.

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