Principal, Data Analytics

The Role

The Principal, Data Analytics will develop 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 responsibilities include:

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

Requirements

Requirements include:

• 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, Vertex AI).
• Proficiency in visualization tools such as Google Looker, Qlik, Power BI, 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.

Pay & Benefits

The typical base pay range for this role across the U.S. is USD $116,000.00 - $197,200.00 per year. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.

This role is eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance.

U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.