Principal Data Analyst

The Principal, Data Analytics will play a critical role in developing advanced analytical and machine learning solutions that support strategic initiatives across Sales, Vendor Management, Cloud, eCommerce, Finance, and Supply Chain. This role combines hands ‑ on modeling , deep analytical thinking, and strong business partnership.  

 
Your role:  

• 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.  

• Act as a self ‑ starter who independently scopes, leads, and delivers analytical workstreams with minimal guidance, while ensuring timely, high ‑ quality outputs.  

• Deliver insights for revenue growth, customer patterns, and operational efficiencies and 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.  

• Applies strong financial and analytical judgment to rapidly identify opportunities and act decisively, even when information is incomplete.  

What you bring to the role:  

• Bachelor’s degree (master’s preferred) 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 and Experience with GCP (Big Query, VertexAi a plus)  

• Proficiency in visualization tools such as Google Looker, Qlik, PowerBI , Plotly Dash  

• Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy , pandas, scikit-learn, etc.).  

• 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.  

Preferred Qualifications:  

• Experience in B2B, distribution, or supply ‑ chain analytics.  

• Knowledge of MLOps and model deployment.  

• Exposure to GenAI, LLM workflows, or automation solutions.