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Magaly Jager
Marketing Data Specialist
Address Westchester County, New York
Phone 203-***-****
E-mail ***************@*****.***
Experienced Marketing Data Specialist with extensive knowledge of syndicated and consumer data analysis and the impact of such analysis on marketing plans, brand management, innovation brainstorming, customer support and sales reviews. Seeking position as an Associate Brand Manager, Category Manager or Consumer Insights Analyst.
Skills
Data Analysis Excellent
Promotional Analysis Very Good
Consumer Insights Analysis Good
Market Research Coordination Good
Data Quality Control Excellent
Data Issue Triage Excellent
Budget Management Very Good
Brand Development Support Very Good
Category Management Very Good
Product Development Support Very Good
Work History
Jul 2016 – Sep 2019
Client Service Consultant
IRI Worldwide, White, New York
• Onsite 5 days a week at PepsiCo working with the Pepsi Beverages North America Division as one of two leads of a 3-person Client Services team
• Responsibilities included training clients and new IRI team members on how to use IRI platforms
(Advantage Pro and Unify) and how to interpret and best use IRI data-types (Infoscan POS, Customer & Shopper Intelligence Panel, Shelf Audit, Display Audit, Hispanic Advantage POS, etc.), in person and via web conferencing
• New Product Coding for PepsiCo and ally brand Energy Drinks, RTD Tea, RTD Coffee and Juice/Drinks categories; Brands: Lipton, Starbucks, Mountain Dew Energy, Rockstar, Kevita, etc
• Weekly and periodic reporting including tracking of key metrics and promotion performance
• Collaboration with the brand teams on restating the database/model annually to best match product trends in the marketplace and reflect retailer / customer changes
• Daily support and issue management with category managers, sales, brand, innovation and analytic teams
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Aug 2014 – Jun 2016
Category Development Manager
Boehringer Ingelheim, Ridgefield, CT
• Prepared sales presentations for customers showing success and credibility of Dulcolax and Zantac brands as a member of the Grocery and Costco sales team, using various data types: point-of-sale, panel, consumer insights, shipment and planograms Mar 2001 – Apr 2014
Category Manager
FUJIFILM Holdings America Corporation, Valhalla, New York
• From Category Analyst, to Senior Category Analyst to Category Manager, spent 13 years providing insights and recommendations to sales, marketing and senior management (in USA & in Tokyo)
• Developed insights on marketing campaigns to assess performance against goals for Fujifilm products: silver halide film, analog cameras, flash memory, photo paper and digital cameras
• Managed marketing research budget which included periodic review of services purchased, with an emphasis on quality of data received versus cost: Nielsen CPG POS, NPD Consumer Electronic POS, Gap Intelligence Price & Promotions data, Market Track Retailer Circular data, Planogram software (JDA / Intactix Prospace, Nielsen Spaceman) and other sources including custom studies with various agencies
• Consolidated 10 years of paper & on-line registration data to create an in-house database of marketing data to both support and guide decisions regarding the various lines of analog and digital cameras (entry level vs sport vs fashion vs pro-sumer, etc.) Education
Aug 1993 – Dec 1997
Master of Business Administration University of Bradford - Utrecht, The Netherlands
• Attended the Netherlands Institute for MBA Studies (NIMBAS) in Utrecht, the Netherlands in collaboration with the University of Bradford, Management Center in the United Kingdom
• First year of program was as a full-time student and subsequent years were completed long- distance in the USA completing thesis (Quality Management) with Promotion Information Bureau in Norwalk, CT and taking courses at the University of Connecticut in Stamford, CT Sep 1989 – May 1993
Bachelor of Arts Claremont McKenna College - Claremont, CA Software
Excel, PowerPoint, Word Excellent
Access, Publisher Good
Planogram Good
VBA (Visual Basic for Applications) Average
SAP Front-End Average
Syndicated (Nielsen, IRI, NPD, Spectra) Very Good