Analyze the macro market and internal business factors to strategically price products to maximize revenue and/or profit.
This role would be responsible for business planning and attainment which will require working cross-functionally between Sales, Finance and Product Owners.
Utilizes reports of findings and creates appropriate materials to communicate the findings. He or she will maintain a broad understanding of Ingram Micro’s business model along with becoming educated on particular vendors, customers, and internal division’s business models and needs.
As a Pricing Consultant II, the focus will be to define pricing issues and identify how pricing facts, data and decisions link to overall business strategy issues.
Leverage B2B pricing experience to lead clients through sales improvements through Pricing.
Act as a thought leader, providing practical recommendations and contributing to team discussions on implications of analysis; identifying implementation challenges.
Champion and support new projects communicating its value and engage others to participate.
Understand client’s objectives and translate business need into the pricing strategies.
Bachelor’s degree in a quantitative field such as: Statistics, Operations Research, Econometrics or Applied Mathematics and Advanced degree (MS or PhD) preferred.
3+ years of experience in pricing or pricing consulting.
Knowledge of basic statistics such as standard deviation, mean.
Awareness of Machine learning and data mining and the ability to speak to its uses.
Experience in analyzing large data sets, identifying trends and patterns preferred.
Synthesize findings, develop recommendations and communicate results to clients and internal teams.
Experience with cleaning, aggregating, and pre-processing data from varied sources.
Experience with SQL queries for standard as well as ad hoc data mining purposes highly desired.
Specialization in at least one of the following; database design, architecture and/or data integration.
Subject matter expertise in at least 2 of the following: price optimization, price elasticity and customer segmentation.