Overview
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 Nestlé’s internal modelling capability
- Partner with stakeholders to build and deliver a portfolio of advanced analytics
- Work closely with to identify and answer business problems/questions using
- Evangelize and provide advisory services around data science capabilities and
- 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
- 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
- Be able to interpret data and explain business performance in an easy to understand
- Have proven experience of working in a matrix environment; achieving results
- Have advanced MS Excel, SQL, R, Python (or similar) experience
Nestlé
Nestlé 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
Nestlé, 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 Nestlé
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 Nestlé’s digital challenges with our
consumers, customers, and employees.
We have exciting positions in our new Nestlé 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 Nestlé’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 Nestlé 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.
- 1300000 - 1600000 INR - Annual
- 3 - 7 Yrs
- Pune
- 2400000 - 2600000 INR - Annual
- 6 - 10 Yrs
- Hyderabad
- Noida, Uttar Pradesh, India
- Noida, Uttar Pradesh, India
- Noida, Uttar Pradesh, India
- Noida, Uttar Pradesh, India
- Noida, Uttar Pradesh, India
- Noida, Uttar Pradesh, India