Function: Customer Operations Data and Analytics Team
Work Level: 1C
Reports to: Stephanie Chew
Scope: Local
Location: Remote
Terms & Conditions: Full time

EXPERIENCES & QUALIFICATIONS

• Degree/working experience in data engineering, analytics, information technology or related technical discipline required.
• Experience within Customer Operations, Analytics, Customer Excellence or related functions preferred.
• Minimum of three years of professional experience with clear competency in supply chain, analytics, project management and technology. CPG industry experience a plus.
• Moderate to extensive experience with SQL/Python/PySpark/Scala required.
• Extensive experience with front-end visualization software like Power BI, Tableau, etc.
• Experience with SAP preferred.
• Experience using Microsoft Azure and Azure services preferred.

SKILLS

• Motivated self-starter with a strong enthusiasm to learn.
• Results-oriented with a strong sense of ownership in delivering for our customers and businesses.
• Ability to manage multiple projects and priorities, plus ability to problem solve, influence, and lead others.
• Ability to initiate and drive dynamic solutions to problems

JOB PURPOSE

Unilever is the place where you can bring your purpose to life with the work that you do – creating a better business and a better world. If you are a detail oriented & creative technologist, comfortable working in a highly collaborative and entrepreneurial environment, then this role is just for you!

WHAT WILL YOUR MAIN RESPONSIBILITIES BE

As a Data & Analytics Associate Manager in the Customer Operations Organization, you will lead the partnership and collaboration with the Logistics & Collect functions within Customer Operations. You will:

• lead the partnership and collaboration with the Hyperautomation Platform (HAP) in UL Bangalore, developing and implementing strategy to improve the user experience and continue to help automate functional reporting.
• work with business stakeholders to gather goals and outline requirements within Customer Operations
• collaborate with the Global Data Foundation & Product teams to ensure data availability and accuracy to help build technical components, and also provide guidance to ensure that end products meet the requirements of the North America
• design and implement internal process improvement; automating manual processes
• front-end product/solution development , optimizing data delivery and re-designing for greater scalability, whilst keeping data simplification and user experience at the top of all priorities