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

Vielfalt ist Teil unserer Kultur!

Wir arbeiten stets daran, dass Du Dich bei uns respektiert und sicher fühlst und jeden Tag Dein authentisches Selbst einbringen kannst - unabhängig von Geschlecht, Alter, Herkunft, körperlicher Einschränkungen oder sexueller Orientierung.

Wir sind für Dich da, wenn Du aufgrund körperlicher Einschränkungen Unterstützung während des Bewerbungsprozesses brauchst.

Bewerbungsfotos sind bei uns nicht erforderlich.