Principal Data Analyst

Overview

Principal, Data Analytics role developing advanced analytical and machine learning solutions that support strategic initiatives across Sales, Vendor Management, Cloud, eCommerce, Finance, and Supply Chain.

What you'll do

• Break down highly complex, ambiguous business problems into structured analytical approaches, proposing innovative and technically sound solutions.
• Drive solution discovery with stakeholders by clarifying requirements, defining analytical feasibility, and shaping technical roadmaps for high-impact initiatives.
• Independently scope, lead, and deliver analytical workstreams with minimal guidance, ensuring timely, high-quality outputs.
• Deliver insights for revenue growth, customer patterns, and operational efficiencies.
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders.
• Build, optimize, and deploy predictive and machine learning models.
• Lead analytics workstreams and collaborate with cross-functional teams.
• Apply strong financial and analytical judgment to rapidly identify opportunities and act decisively, even when information is incomplete.

What you'll need

• Bachelor's degree in a quantitative field.
• 8+ years of functional experience, including a minimum of 5+ years of position specific experience in data science or advanced analytics.
• Advanced SQL skills.
• Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.).
• Proficiency in visualization tools such as Google Looker, Qlik, PowerBI, Plotly Dash.
• Strong communication skills and ability to influence decisions.
• Demonstrates innovative thinking with the ability to challenge entrenched assumptions, navigate ambiguity, and quickly adapt in fast-changing environments.
• Exceptional storytelling and presentation skills, with the ability to build compelling executive-ready materials and clearly communicate complex analytical insights to diverse audiences.

Nice to have

• Master's degree in a quantitative field.
• Experience with GCP (BigQuery, VertexAI).
• Experience in B2B, distribution, or supply-chain analytics.
• Knowledge of MLOps and model deployment.
• Exposure to GenAI, LLM workflows, or automation solutions.

Details

• Location: Chennai, India.