Category Analytics Executive

BACKGROUND AND PURPOSE OF ROLE:

The aim of the role of Category Analytics Executive is to use data as an enabler & catalyst for increased growth and improved business performance across different channels or programs encompassing the omni-channel space and Digital Commerce, to drive sales growth through influencing more Shoppers, More Frequency, and Bigger Basket Sizes per purchase.

The role serves to create solutions to analyze data, draw findings and insights, and use the analysis to recommend actions to grow the business and improve business performance anchored on accelerating sales for the business. The role also optimizes performance of the campaigns and activities being implemented, using and analyzing the data and results to recommend ways to further optimize and improve performance over time and across more implementation cycles.

JOB SUMMARY:

This role will handle Customer Insight & Innovation under the Category Management sub-function, in which he/she needs to:

• Business Acumen & Customer Insighting: understand business needs and collaborate with business units to build and facilitate appropriate insighting activities
• POS Analytics: Provide and communicate actionable customer insights by synthesizing market, customer data (POS accounts), and competitive data sources to capture a holistic understanding of the category
• Net Revenue Management: Analyze internal and external data to create clear recommendations to improve company growth and profitability based on the different NRM Levers for the total category, and present to key decision makers.

QUALIFICATIONS:

• Graduate of a Business/Data Science or any related degree, experience in Data Science/Data Analytics is a plus
• With 2 to 3 years of experience in data analytics, revenue management or consumer insights in an FMCG or research company.
• Should be a team player and possesses a professional and mature demeanor
• Preferably with experience in FMCG industry
• Passion for answering questions with data, and linking output to growth insights and  recommendations for actions for growth
• Ability to communicate with senior stakeholders to understand business questions/ requirements
• Ability to manipulate and analyse complex, high-volume, high-dimensionality data from varying source
• Fully operational in the use of an analysis tool such as Microsoft PowerBI, and other Data Solutions
• Experience working with large data sets, experience working with distributed computing tools (Azure) is a plus.

We highly encourage applicants to exclude information on age, gender, and school/s in view of Equity, Diversity, and Inclusion. Unilever assesses candidates based on skills, performance, experience and leadership.

Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.