Dennis Murray Email & Phone Number

Fuschl, At

Created data sets to support business expansion, within current and new lines of trade. Provide business partners with analysis to enable major change to business practices, and information for expanding field staff.

Fuschl, At

Support all departments in the company with data initiatives.

Fuschl, At

Responsible for Category Management and retail strategy development for newly created Value Channel group within Red Bull North America. Currently working to answer questions about proper assortment levels, pricing, and merchandising through qualitative and quantitative research, as well as establishing future volume targets for key retailers and the overall channel.• Initiated statistics-driven voids initiative with major retailer to increase in-stock status for Red Bull products, using daily sales, receipts, and store attribute data, and achieving sales growth in excess of total market for the brand• Created rationale for assorting and planogram creation for 1,800 cooler placements at cash register, considering sales data, days of supply, and share of requirements metrics• Converted advanced analyses to reduced levels of complexity for presentation to business audiences, with consideration of the detail and nuance required for implementing the findings• Created price elasticity study that led to an everyday low price offering on a Red Bull package at the retailer, with results of more than 30% same-store growth in unit sales• Acted as mentor and direct supervisor to one Category Analyst and one Sales Trainee during Category Management rotation, and as advisor to peers on data handling, data visualization, and analysis

Fuschl, At

Consultant and Subject Matter Expert on Building the Energy category, and Beverage department to maximum possible value and retailer market share based on data mining of retailer and shopper data. Advise Red Bull Account Managers, and retailer Buyers and Merchandising Departments to fully realize the value of the Energy category.Lead for Advanced Analytics for Red Bull Business Insights and Category Management, developing new extensions of Category Management philosophy: Uniting Psychology, Economics and Statistical Analysis• Integrate, explain and implement advanced analytics and machine learning with the Sales and Category Management pipeline• Work with data sets from varying sources to solve the most challenging questions of retail execution and planning, including extraction, transformation, and variable development• Used association rules analysis to learn shopper basket behavior at a 400 store travel stop retailer, to advise retailer on improved merchandising and marketing programs related to shopper trips for Energy Drinks• Performed detailed analysis across a 14,000 store value channel retailer’s varying planograms, using regression to determine the value of a product facing within the Energy category for space allocation improvement• Created retailer competitive market analysis using product invoice data to illustrate a convenience retailer’s declining share of market due to competitive store openings• Created price elasticity study via ARIMA modeling to influence pricing strategy across the Energy category and optimize share of sales by brand for increased retailer profitability• Applied k-means clustering to a convenience retailer’s store-level retail sales data to produce clusters of stores based on relative sales of major beverage category, for purposes of differentiated store merchandising• Worked on United Kingdom and Japan projects on support basis, including one month residence in United Kingdom working on major retailer projects

Fuschl, At

First line of Data Exploration and owner of internal facing analysis of overall Retail Sales performance for the Southeast Business Unit of Red Bull North America. Also called on mid-sized regional chains to advise on category performance optimization, and implementation of retail sales drivers.• Developed and presented monthly sales results to business stakeholders in the business unit, including Sales, Distribution, and Marketing. Highlighted current business standing, emerging trends, weaknesses, and opportunities based on syndicated market and retailer Nielsen Data• Presented informative, data-driven information to mid-sized key account retailers to aide in the • Construction of data-driven planograms using the JDA Space Planning suite• Built refreshable scorecards in Excel based on data from Nielsen database

Fuschl, At

Pioneered new role at the Business Unit level, intended to provide framework and structure for the forecast of all beverage and point of sale material SKUs. • Created Access-based forecasting process that incorporated past results and seasonal smoothing to create improved forecast for each Red Bull beverage SKU• Provided input to annual Business Planning process, as well as monthly demand forecast revisions• Acted as liaison for distributors on issues of product quality and damage in transit.

I built a photography business from inception to holding agreements with local football, soccer, and baseball/softball organizations to provide action photography services to individuals and families on a for-hire basis.Worked as a contract photographer for SportsCar Magazine, USA Volleyball, and other photographers for events in the Atlanta metro area and the Southeast.Developed bids, pricing, contracts, and all aspects of profit and loss as well as order fulfillment.

Bowling Green, Ky, Us

Managed monthly forecast revisions for Russell Athletic apparel, and Bike Athletic equipment, for two National Sporting Goods chains and the Team dealer channel.• Member of the implementation team for the Txt Demand Planning System• Used data from Retail Sales, along with consideration of periodic trends, and market research to refine retailer forecasts• Forecast were used for planning production, inventory and financial reporting

Us

Managed finished goods inventory levels for more than 1,000 Bike Athletic products, including products designated as “never out” status. • Placed production orders with third-party vendors, managing lead time and safety stock considerations• Project lead and subject matter expert for the E/STEP Finished Goods Series, creating data-driven safety stock levels based on past demand variability patterns

Greenwich, Ct, Us

Provided Project Management to midsize accounts and projects within a third-party logistics provider’s Information Technology organization.• Managed internal and external customer requests for modifications and changes to Warehouse Management and Transportation Management Systems, and Electronic Data Interchange• Documented requirements and worked with business process owners, as well as technical personal• Industries served included the Sporting Goods, Outdoors, Publishing, and Retail Appliance Manufacturing

Newark, Nj, Us

Created Production schedule for 5 primary manufacturing and 2 finished product production lines.

Masters Of Science, Data Science

Bachelor'S, Industrial Engineering

Education record