Pricing & Promotions Analytics Manager - FMCG / Retail
|Job Title:||Pricing & Promotions Analytics Manager - FMCG / Retail|
|Salary:||£75000 - £80000 per annum + Bonus + Benefits|
|Duration:||6 Months +|
|Contact Name:||Guy Barwell|
|Job Published:||about 2 months ago|
£75,000 - £80,000 + Bonus
6 Month Contract
We are seeking an experienced Senior Commercial Finance / Data Analytics Manager ideally with strong analytical experience around Pricing & Promotions / Volume, Sales & Margin growth from a Retail or FMCG environment.
This is a critical role that sits at the heart of the business acting as the conduit between Sales, Finance and Marketing, with great exposure to the Exec Team.
Key to the role will be helping the business make the right decisions by identifying issues and recommending solutions through data. This could be at a tactical or strategic level: advising on promotional plans or developing 3-year pack-price-architecture plans to deliver volume, sales and margin growth.
Key deliverables will include
*Delivering an optimised price and promotional plan.
*Performing a diagnostic of the current situation including a review of the market landscape (competitors, customers, costs), margin analysis and benchmarking pricing structures.
*Propose changes to pricing structures highlighting financial benefits and potential risks.
*Review of pricing, promotional plans, discounting etc
*Attain alignment with key stakeholders in Finance and Sales, and create an implementation plan
*To carry out this work they will be supported by the Finance and Sales teams, so the ability to lead and manage a cross-functional team is important.
What we are looking for
*Previous experience within a Data Insight / Financial Analysis role
*Knowledge of price and promotions principles within the retail / wholesale would he highly advantageous
*Strong analytically / Advanced Excel and PowerPoint
*Ability to structure problems and extract key messages from complex data sets / Goes beyond the obvious to identify analytical insight within data and outline clear implications.
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