Principal, Data Analytics

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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. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage set us apart.

Learn more rammicro.comCome join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

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 work streams 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 work streams 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, Vertex Ai a plus)
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.

Why Join Strategic Enterprise Analytics (SEA) at Ingram Micro:

Opportunity to impact enterprise‑wide analytics programs.

Work with data at massive global scale.

Contribute to Ingram Micro’s digital transformation.

Collaborate with high‑impact analytics and technology teams.#LI-RT1

The typical base pay range for this role across the U.S. is USD $ - $ per year.

The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate’s primary work location, pay grade, and variable compensation plan. 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.

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