It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description:
About Us
Accelerate your career. Join the organization that's driving the world's technology and shape the future.
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 at www.ingrammicro.com .
Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!
Your Role
As part of the Global Pricing Team, you will help shape strategies that drive profitable growth, strengthen market position, and support decision-making across different countries . You will work cross-functionally with Sales, Finance, Vendor Management, and senior leadership to transform data into actionable recommendations and ensure pricing is fully aligned with business strategy.
Work with large, complex datasets across multiple platforms (e.g., Databricks , BigQuery , Looker ), ensuring data quality, consistency, and scalability of reporting.
Translate complex data and statistical modeling (e.g., regression, elasticity, scenario analysis) into concise, actionable insights that influence commercial decisions.
What You Bring
You combine strong analytical and coding skills with a strategic mindset. You are experienced in handling and transforming large datasets, building automated workflows, and applying advanced analytical techniques. Beyond the technical expertise , you are an effective communicator who can influence diverse stakeholders and connect pricing decisions directly to business outcomes.
Technical & Analytical Skills
Strong expertise in data analysis, statistical modeling, and applied quantitative methods (e.g., regression, clustering, elasticity modeling, forecasting).
Proven ability to work with large, complex datasets: cleaning, aggregating, transforming, and ensuring data quality across varied sources.
Subject matter expertise in price optimization, revenue management, profitability analysis, and scenario modeling.
