The Revenue Management Specialist will be responsible in ensuring maximum revenue growth by identifying optimal pricing of Reed Exhibition events. The successful candidate will work closely with the Director of Pricing of RX and eventually work with other directors of pricing for RX globally. He/she is expected to be an experienced professional with best practices in data modeling skills. The specialist will be responsible for preparing & optimizing pricing & data models, aiding to achieve commercial excellence, and helping to drive cohesive pricing excellence for the Reed Exhibitions business. This role requires the ability to drive insights from data analysis he or she performs, as well as proficiency in the use of statistical and/or other data and computing tools and techniques. In addition, this role is expected to be the administrator of the RXUS pricing approval process.
Core responsibilities
Quantitative Studies and Analysis: Regression (Linear, Logistic, etc.), Time Series Analysis, Multivariate Analysis (Factor Analysis, Cluster Analysis, Discriminant Analysis, Conjoint Analysis, Correspondence Analysis, etc.), Sample Size Calculation, Survey Operations, Experimental Designs, Bayesian and Classical Statistics, Nonparametric StatisticsQualitative Studies and Strategies: Market Research and Pricing Strategies/PoliciesPrepares models with wide array of data to forecast B2B buyer behaviorCreate & fine tune existing models for changing business needs & drive revenue growthCollates, analyzes, and interprets data to actionable business intelligenceDrive process improvements via workflow consolidation or by use of technologyCoordinates with other groups including Marketing, Sales, and FinanceAdministrator of pricing approval processResponsible in creating pricing strategies and suggestions based on the pricing analysisBrainstorming of pricing policies and strategies with the events and pricing teamConceptual framework formation on different pricing needsPrepare and present reports and insights to the C-SuitesAd Hoc projects as neededAdditional expectations
Highly knowledgeable to different statistical methods/techniques and programming software programsUtilize Statistical programming software aside from MS Excel (RStudio, Python, SPSS, etc.) in processing pricing dataResponsible in devising and analyzing statistical methods to the pricing dataevaluate and transform conceptual framework/s into a measurable pricing model/analysisComfortable in executing different Statistical methods and programming tools Provides input to help optimize revenue and cost by setting prices, product placement and availability with customersContributes to process improvements; Uses best practices and knowledge of internal or external business issues to improve products or servicesActs as a resource for colleagues with less experienceRequires conceptual and practical expertise in own areaHas knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate the company in the marketOccasionally leads the work of small project teams; provides informal guidance to junior staffWorks with minimal guidance; Explains difficult or sensitive information to a wide range of audience (from staff to C-suite levels)Hard, Technical, Soft Skills and Complementary Skills
Strong understanding of financial acumenProficient in Excel, Word & Power PointIndependent worker and self-starterWorks comfortably with some ambiguityAble to manage multiple projects simultaneously and deliver in a timely mannerWilling to learn in a fast-paced environmentExcellent accuracy and attention to detailEffective organizational and time management skillsExcellent collaborative and communication skillsProficient in statistical knowledge & application• Proficient Power BI knowledge & application a plus (must be willing to learn)