UFS Data Analyst
Company
Unilever
Location
Kuala Lumpur, Malaysia
Type
Full Time
Job Description
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.
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- 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
Date Posted
12/03/2024
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