Job Description

About You

You are an expert in applying advanced analytics to solve marketing and sales business problems. You are equally comfortable applying your knowledge to optimize marketing spend or working with sales to optimize trade spend.

You are hands-on in your ability to build models, but you are also comfortable coaching less experienced team members in how to solve problems, or managing agencies to deliver where needed.

You know that having a great model isn't enough, you love to derive the "so what" from your models and tell compelling stories which inspire action and drive growth.

A day in the life of...

You'll be responsible for using advanced analytics to provide robust measurements of marketing & trade investment across different business models, product categories and

varied geographies.

You will work closely with your stakeholders to provide guidance on how best to optimize and allocate marketing & trade investments in order to support the delivery of our commercial strategy.

As part of this role you will need to

:



Share your experience & knowledge and build Nestle's internal modelling capability Partner with stakeholders to build and deliver a portfolio of advanced analytics

initiatives

Work closely with to identify and answer business problems/questions using

appropriate modeling techniques on available data

Evangelize and provide advisory services around data science capabilities and

knowledge within Nestle

Work with large, complex data sets and solve non-standard problems

What will make you successful

Be educated to MSc level (or equivalent) in Math, Statistics, Physics, Operations

Research, Econometrics or Data Science.

Have proven experience of handling large datasets and reporting automation. Be able to demonstrate an excellent understanding of marketing mix modelling and price & promotion analytics. Experience with dynamic linear models/state space models is of particular interest. Have the ability to network and influence at senior levels both internally and

externally.

Be able to interpret data and explain business performance in an easy to understand

way that tells a story to key stakeholders.

Have proven experience of working in a matrix environment; achieving results

through effective influencing and collaboration.

Have advanced MS Excel, SQL, R, Python (or similar) experience

Nestle

Nestle enjoys a reputation as the world's largest food and beverage company driven by

our purpose - enhancing the quality of life of everyone, today and for generations to come. At

Nestle, we constantly explore and push the boundaries of what is possible with foods,

beverages, and nutritional health solutions to enhance quality of life and contribute to a

healthier future to better support individuals, families, communities and the planet. We

have more than 2000 brands ranging from global icons to local favourites and are

present in 190 countries worldwide.

About IT in Nestle

We are a team of IT professionals from diverse cultures, genders and age groups in the

world's largest food and beverage company. We innovate every day through forward-

looking technologies to create opportunities for Nestle's digital challenges with our

consumers, customers, and employees.

We have exciting positions in our new Nestle global services operations based in

Bangalore, which works alongside our Regional IT Hub in Sydney and Global IT hubs to

provide technology services for Asia, Oceania, and Africa (AOA). This setup will design,

implement, and maintain IT solutions and sharpen Nestle's focus in the growing areas of

digital, analytics and innovation to support changing customer, consumer and shopper

focus.

When you join our IT team, you'll have the opportunity to collaborate across local and

global Nestle teams and external partners to deliver innovative technologies that create

tangible business value and contribute proactively to our sustainability goals. Our

diversity brings fresh and innovative thinking to how we approach new and existing

challenges while embracing different cultures, genders, sexual orientation, abilities and

flexible ways of working.