R&D Life Sciences Data Analyst

Job description

Overview

PepsiCo R&D is looking for R&D Life Sciences Data Analyst to join on 12 months FTC role in Leicester (other possible location is Reading). 

At PepsiCo, our mission is to create more smiles with every sip and bite. As a member of the Life Sciences team, you’ll help create joyful moments for our consumers through our delicious and nourishing products and enable winning with PepsiCo Positive. Our team partners closely with other Research & Development functions to deliver science-based health & nutrition insights and guidance to our businesses.

 

We’re seeking a Scientist to support the Global Foods business. This position will support the development of new products and messaging, portfolio transformation, and nutrition data analysis. You’ll help enable the organization to make informed business decisions on health and wellness related opportunities and issues.

Responsibilities

·  Nutrition data collection and analysis to support various internal workstreams, including Pep+ Reporting, Nutrient Profiling Analysis as well as competitive assessments. Develop reports and/or recommendations based on data collected.
·  The ability to read, understand and evaluate Nutrient Profiling criteria and identify business relevance
·  Guide portfolio transformation reporting through support of internal governance process, tracking, and providing guidance on renovation and new product innovation to R&D partners.
·  Review reporting criteria to ensure  accuracy with  the respective guidelines.
·  Network internally and influence highly matrix teams to achieve success. Internal audiences include, regulatory, marketing, product development, platform transformation leads and GBS.
Qualifications

·  Bachelor’s or master’s degree in Nutrition Science, Food Science or a closely related field
·  Data analytics exprience preferred
·  Project management skills to effectively drive a complex project and excellent presentation skills (written & verbal) and ability to effectively communicate with senior colleagues
·  Detail oriented and organized
·  Ability to develop successfu working relationships with cross-functional partners in a highly matrixed environment, achieve trusted advisor relationships with cross-functional peers to navigate complex projects demands
·  Effective time management and ability to manage and prioritize multiple projects in a dynamic R&D community environment
·  Proactive in bringing new ideas to the team or the organization (innovating) to improve processes, work environment, and collaboration.
·  Flexible and comfortable with change; ability to balance need to deliver against aggressive business timelines with excellence.