Reporting to Local Division Manager, MEA and Head of Pricing, EP Division, your key areas of responsibility include, but are not limited to :
1. Center of pricing excellence (COPE)
Serve as a point-of-contact within the LSO overseeing the pricing initiatives in the region.
2. Pricing Initiatives
Implement, review and maintain strategical, tactical and operational pricing initiatives within the LSOs.
A. Strategic initiatives :
Set annual pricing budget
Set targets and tradeoffs
Segment the market (Analyze historical data to create, define and refine micro markets in the LSO data)
Design discount structure (standard and special)
Set project quotation guidelines
Set rebate policy
Plan pricing data capture
Position products and set list price
B. Tactical initiatives :
Generate, interpret and refine price and volume increase opportunities (PIOs, VIOs)
Generate, interpret and refine quote improvement opportunities
Generate, interpret and refine rebate improvement opportunities
Identify bundling and packaging opportunities
C. Operational initiatives :
Measure revenue variance
Act on PIO’s and VIO’s by channel
Approve project quotes and MSPA’s
Execute data capture plan
3. Price Data Engineering
Use Extract, Transform, and Load (ETL) tools to join data from LSO data sources (e.g. SAP, spreadsheets, ATLAS) to construct fact tables, resolve, manage, monitor and address pricing data issues.
Identify data improvement opportunities (DIO’s).
Develop views and stored procedures in SQL to support repetitive SQL tasks
4. Pricing Process
Mapping of the end to end pricing process and support the definition of their improvement. Special focus on rebates process, accruals and pay out.
5. Marketing & Sales
Develop good understanding of EP wide range of selling models
Familiarize with LSO customer, product, competitive and agreements landscape
Document LSO pricing specifications and requirements.
Prepare and present COPE achievements and status reports
Create and maintain pricing processes documentations
Ideally you should be having a master’s Degree in Operations Research, Statistics, Economics, Analytics or an equivalent data driven quantitative discipline with minimum 6 years of relevant experience with basic understanding of micro economics, marketing, pricing concepts, fundamentals of mathematical modeling and optimization.
Good command of the fundamentals of statistical and quantitative analysis is expected. Experience with one or 2 business Intelligence tools, e.
g. Power BI and / or Tableau is preferred. Good working knowledge of MS SQL language, MS excel is required.
You must be a self-starter with good attitude and have excellent verbal and written communication skills to communicate with all stakeholders with diverse backgrounds