Leads advanced analytics and machine learning initiatives across sales, vendor management, cloud, eCommerce, finance, and supply chain. Develops predictive models, translates complex data into actionable business recommendations, scopes analytical workstreams, partners with stakeholders, and communicates insights to executives and technical teams. Requires strong SQL, Python, visualization, cloud, modeling, and business communication skills.
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Job Description:
Position Summary:
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.
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