Mdm Ops Executive - Bengaluru, India - Unilever

Unilever

Verified Company

Bengaluru, India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Job Title:
MDM Ops Executive

Work Location:
Bangalore, India

ABOUT UNILEVER:
Be part of the world's most successful, purpose-led business.

Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us.

We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good.

Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best.

Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life - giving us a unique opportunity to build a brighter future.

Every individual here can bring their purpose to life through their work. Join us and you'll be surrounded by inspiring leaders and supportive peers. Among them, you'll channel your purpose, bring fresh ideas to the table, and simply be you.

As you work to make a real impact on the business and the world, we'll work to help you become a better you.

Background

Unilever Operations (UniOps) delivers Technology and Enterprise services to Unilever for improving the effectiveness of our employees, driving efficiency & generating sustainable growth for Unilever.

MDM Ops which is part of Unilever Supply Services org has aim to deliver world class Master Data Management, with both transactional excellence and high data quality levels,, that is standardized, reliable and available to any client, anywhere and whenever it is required.

This is an exciting time to join Unilever. The world of master data management is changing, and it is no longer just about managing data.

You will be part of a team that is building a robust master data management framework and service, that will allow Unilever to drive higher value by placing data at the core of their strategic and operational decisions.

We will be embracing new data technology that will improve the development, manufacture, and distribution of Unilever's products to consumers around the world.

Main purpose of job:

This position will support operations by monitoring and analysing master data, key data, and master relationship data within the organization.

The job holders will perform various activities around Master Data to deliver efficient, reliable, accurate Master Data transactions/content in support of Unilever's objectives.

He/She would also look proactively to improve the process by following the principles involved in Continuous Improvement.

Key accountabilities:

Ensures master data integrity in key systems as well as maintaining the processes to support the data quality.
Identifies areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.
Ensures quality of master data in key systems as well as documentation of processes with other functional data owners to support ongoing maintenance and data integrity inl SAP ECC within Unilever
Manages, analyses, and resolves data initiative issues and manages revisions needed to best meet internal and customer requirements while adhering to published data standards.
Excellent analytical and research skills. Willingness to work in shifts and support project. Sufficient level of knowledge at handling ticketing tools like BMC Remedy and Solution Manager (SOLMAN).
Responsible for managing and delivering critical service requests raised by stakeholders and driving continuous improvement initiatives within the team.

Experience and qualifications required:

Graduate/Post Graduate Degree
Working Knowledge of the Master Data Environment.
Good Business Acumen
Preferable to have a business background in SAP
Experience working in a FMCG industry gaining a strong understanding of business processes across data objects