UFS Data Analyst

Job Title: UFS Data Analyst
Location: Malaysia


About The Brand

Unilever Food Solutions (UFS) is the €2.5bn+ foodservice division of Unilever. It leads the dynamic Food Service market across its categories and has ambitious growth objectives, marketing a range of professional food and beverage products and services to operators across 22 Multi Country Organizations (MCOs) in 67 countries. We carry a portfolio of local and international brands-- Knorr Professional, Lady’s Choice, Hellmann’s, and The Vegetarian Butcher.


Roles and Responsibilities

• Embed data analytics & decisions into UFS's daily business process, based on both external data (e.g., distributor / wholesaler / cash & carry channels) and internal data (e.g., primary sales, inventory, forecasting data).

• Drive change management to improve business performance through Data & Business Analytics methodologies.

• Lead functional deep-dive analysis to identify gaps, opportunities, drivers to accelerate business e.g., improve stocks forecasting, improve trade spends efficiency.

• Innovate projects to solve existing business questions differently by automation, modeling, external data (e.g., Euromonitor, Global Data), etc.

• Use statistical tools to interpret data sets and prepare reports that effectively communicate trends, patterns and prediction based on relevant findings.

• Build data systems and pipelines, algorithms, and prototypes.

• Enhance data quality and reliability to improve user experience.

• Direct communication with stakeholders to resolve issues and to conduct trainings.

Skills and Qualifications

• Bachelor’s degree in computer science, statistics, mathematics, data modeling or similar technical background.

• 3 years working experience as a Business Intelligence Analyst/ Data Analyst or any position that related to data and business analytics with strong statistical background.

• Intermediate experience with Power BI, Advanced Excel, Power Automate, MS Azure, Databricks is preferred.

• Knowledge of programming languages (SQL, Python, DAX) is preferred.

• Organization – creating and keeping easy to read files, allowing easy transition of projects and review of underlying data / calculation.

• Technical Comprehension – learn/understand data and formulas that are used to determine performance metrics.

• Complex problem solving – identifying problems and reviewing related information to develop and evaluate potential solutions.

• Detail oriented – strong desire for data accuracy and timeliness is critical. 17. Critical thinking – Using logic and reasoning to identify conclusions or approaches to problems.

• Excellent and Clear Communication (English) – Ability to influence others and navigating through a matrix organization

En tant qu'employeur responsable et inclusif, Unilever est attentif à la diversité et à la mixité de ses équipes. Nos recruteurs sont engagés et veillent à l'application de processus de recrutement non-discriminants.

Tous nos postes sont ouverts aux personnes en situation de handicap et Unilever accompagne ses collaborateurs dans la mise en place d'éventuels aménagements de poste et de dispositifs d'accessibilité.