Data Analyst – QuantumBlack Analytics – McKinsey & Company
McKinsey & Company is the world's most prestigious management consulting firm. QuantumBlack, AI by McKinsey, is our advanced analytics and AI studio that deploys data science and machine learning to help Fortune 500 clients unlock transformational value from their data. We are hiring entry-level Data Analysts to work on complex, real-world analytics engagements across healthcare, financial services, retail, and technology sectors.
Responsibilities
- Support McKinsey analytics engagements by extracting and analyzing client data to answer complex business questions
- Build predictive models (regression, classification, clustering) using Python or R for client decision support
- Clean, transform, and validate large messy real-world datasets from ERP, CRM, and operational systems
- Create compelling data visualizations and storyboards translating analytical findings into business recommendations
- Collaborate with senior analytics consultants and client teams throughout the engagement lifecycle
- Contribute to McKinsey's proprietary analytics tools and reusable model libraries
Requirements
- Bachelor's degree with outstanding academic record in a quantitative field (Statistics, CS, Engineering, Economics)
- Strong Python or R skills for data analysis and modeling
- Proficiency in SQL for ad hoc querying and data extraction from enterprise databases
- Excellent problem-solving ability and comfort working with incomplete, ambiguous data
- Willingness to travel 40–60% for client site engagements
Benefits
- Top-tier consulting compensation with year-end performance bonus
- Comprehensive medical, dental, and vision benefits
- 401(k) with McKinsey contribution
- World-class learning and professional development resources
- Global mobility opportunities across McKinsey's 130+ offices worldwide