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Data Analysis - SQL + Core Domain Data skills - Manager

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Hybrid

Data Analysis - SQL + Core Domain Data skills - Manager

PwC

Data Analysis - SQL + Core Domain Data skills - Manager

Skills

SQL QueriesData EngineeringData MiningData ScienceData AnalysisMachine LearningAI

12 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

8 October 2026

What they need


Role & responsibilities

Leading data science workstreams that turn raw information into actionable business insights for client engagements

  • Managing project scope, timelines, and deliverables while coordinating resources and reviewing progress against client objectives
  • Guiding teams in exploratory analysis, statistical modeling, and descriptive analytics using SQL and core domain data skills
  • Applying machine learning, predictive modeling, and data mining techniques to solve complex business problems
  • Developing data pipelines, data models, and data quality checks that support reliable analytics and reporting
  • Translating business questions into analytical approaches, measurable outputs, and practical recommendations
  • Reviewing technical work, coaching team members, and tailoring feedback to strengthen delivery and grow analytical skills
  • Using AI tools, data engineering concepts, and visualization methods to improve analysis workflows and presentation of findings

What Sets You Apart

  • Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
  • Demonstrating SQL analysis across large, complex data sets
  • Leading data science workstreams and mentoring junior team members
  • Translating business needs into analytical findings and actions
  • Applying machine learning, statistical modeling, and predictive methods
  • Navigating client discussions and resolving delivery issues professionally

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