It's fun to work in a company where people truly BELIEVE in what they're doing! Job Description: About Ingram Micro   Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Through Ingram Micro Xvantage™, our AI-powered digital platform, we offer what we believe to be the industry’s first business-to-consumer-like experience. We also provide a broad range of technology services, including financing, specialised marketing, and lifecycle management, as well as technical pre- and post-sales professional support. Learn more at www.ingrammicro.com. 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. With us, you’ll make technology happen in surprising ways. It’ll be a fun journey! Learn more at http://careers.ingrammicro.com Click Introduce Yourself above to join our talent network! It’s no surprise that technology powers the planet. But what might surprise you is that Ingram Micro has the ability to reach more than 90% of the global population. By joining us, you make Ingram Micro’s contribution a reality: helping businesses grow, supporting industries from healthcare to education with their technology, or even connecting the world. What’s in it for you? Well, we take great care of our people, everyone is made to feel welcome, and opportunities to grow apply to all. But the prospect of shaping the future through technology is something you’re unlikely to find anywhere else. Let’s shape tomorrow.

Principal Data Analyst.

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