Data Analyst - Pricing
Data Analyst - Pricing
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Its fun to work in a company where people truly BELIEVE in what theyre doing!
Job Description:
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 .
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.
Key Responsibilities
Analyze market trends customer behavior and internal performance to identify revenue opportunities and optimize pricing strategies.
Design automate and maintain analytical tools and dashboards that provide clear visibility into pricing performance and market dynamics.
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.
Drive process improvements that reduce manual effort streamline workflows and increase efficiency across the organization.
Build capability by providing stakeholders with training and insights to improve their understanding and use of pricing data.
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.
Job Qualifications
Education & Training
Master degree in a quantitative field (Statistics Applied Mathematics Business or Economics). An MBA or PhD will be valued.
Technical & Analytical Skills
Strong expertise in data analysis statistical modeling and applied quantitative methods (e.g. regression clustering elasticity modeling forecasting).
Hands-on experience with machine learning and data mining techniques applied to pricing problems.
Proven ability to work with large complex datasets: cleaning aggregating transforming and ensuring data quality across varied sources.
Advanced proficiency in SQL and BigQuery for large-scale data processing; experience with ETL pipelines automation and data engineering for analytics.
Skilled in developing and maintaining scalable pricing tools dashboards and frameworks that deliver actionable insights across regions.
Subject matter expertise in price optimization revenue management profitability analysis and scenario modeling.
Ability to translate analytical findings into pricing strategies that drive measurable business outcomes.
Track record of designing and testing innovative approaches to pricing identifying opportunities through data-driven insights.
Other Competencies
Strong problem-solving mindset: able to break down complex business challenges into structured analytical approaches.
Ability to evaluate current methods and processes recommend improvements and implement data-driven solutions.
High attention to detail with strong data validation and accuracy standards.
Demonstrated ownership of projects from data exploration through strategy development and implementation.
Required Experience:
IC
Employment Type
Full-Time
