Data Analyst II

Uber

6 - 11 years

14 - 15 Lacs

hyderabad

Posted:1 week ago| Platform:

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Skills Required

bpo business analytics analytical agile customer support business intelligence operations monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

The Experience You ll Bring

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.

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