Master Data Analyst

Job description

At Danone, we believe that every time we eat or drink, we vote for the world we want. As a leading food and beverage company, we make healthy, sustainably-produced foods and beverages that nourish people's lives. Some of our brands include Dannon, Activia, Horizon Organic, International Delight, Silk, Oikos, So Delicious Dairy Free, Stok, Two Good, Vega, and Wallaby Organic . And as the largest Certified B Corporation® in the world, we are committed to redefining success in business to ensure that through our brands we create real benefits for people, our communities, and the planet.
With headquarters in Broomfield, CO and White Plains, NY, Danone North America has more than 6,000 employees across the U.S. and Canada, and more than a dozen manufacturing facilities across North America. Our employees enjoy competitive pay and industry-leading benefits (including flexible (unlimited) time off and up to 26 weeks paid parental leave), and share a common mission and culture committed to both business results and social purpose. When you join Danone North America, you become part of a global team that is inspiring a healthier world through food.

Danone North America is looking for a Master Data Analyst in Broomfield, CO or White Plains, NY.

About the job :

The Master Data Analyst will be responsible for creating and monitoring different master data types such as: raw & packaging materials, finish goods, vendors and customers. The main purpose of the job is ensuring the quality and timely delivery of the data. The Analyst will act as a liaison between the different business functions and the data management team.

Data Standardization

·  Standardize data convention across multiple business units
·  Creation and maintenance of processes across multiple business units
·  Find and implement the use of common tools across multiple business units

Master Data Maintenance and Business Analysis

·  Analyze and Propose master data process improvements
·  Identify, troubleshoot, and correct master data issues
·  Provide guidance for master data maintenance to cross functional teams responsible for entry of key data
·  Support the Master Data Team with day to day material, vendor, customer creation and pricing maintenance and ongoing maintenance for all areas
·  Support the finance team during budget period with data reporting and data uploads
·  Utilize analytical skills to improve master data oversight on a day to day basis
·  Liaise with business teams, peers to ensure business goals and requirements are being met on a timely manner
·  Monitor KPIs and define actions plans to improve SLAs and drive business satisfaction

Product Lifecycle

·  Continue to improve our product lifecycle process for finish product, raw and packaging materials, vendors as well as customers master data
·  Work closely with respective business functions to clean up and update master data for discontinued/obsolete data elements

Workflow

·  Evaluate workflow tool and propose improvements to the data collection process

About you :

·  You have a Bachelor's degree in Information Systems, Supply Chain, or equivalent experience.
·  You absolutely have a minimum of 2 years of experience working with SAP master data
·  You preferably have experience using PIM solutions (e.g. Informatica)
·  You preferably have experience using mass maintenance tools (e.g. Winshuttle)
·  You ideally have experience using Orsoft Workflow tool
·  You are a quick learner and motivated team player
·  You have excellent communication skills and are customer-focused
·  You seek continuous improvement and take accountability for your actions and results

Danone North America is a Certified B Corporation business unit of Danone and operates in the U.S. from headquarter offices in White Plains, NY and Broomfield, CO. For more information, please visit DanoneNorthAmerica.com .　

Danone North America is an equal employment and affirmative action employer. All qualified applicants will receive consideration without regard to race, color, religion, disability, sex, sexual orientation, gender identity, national origin, age, veteran status, genetic characteristic or any other unlawful criterion.　

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