R&D Digital & Partnerships Data Team – Data Specialist

Job Title: R&D Digital & Partnerships Data Team – Data Specialist

Location: Unilever R&D Bangalore

Context:

Are you ready to play a key role in the digital transformation of Unilever R&D? Join us on our exciting digital journey as a Data Specialist within our dynamic Connected Data Team.
At Unilever R&D, our vision is to Innovate Boldly for People and Planet – a mission that supports our purpose, advances our sustainability goals and drives profitable growth through our Business Groups and Functions.

Digital is reshaping the world. It’s transforming how consumer goods companies, design, source, manufacture and go to market. Unilever is committed to leading this digital revolution in R&D, with an ambitious transformation agenda that spans all Business Groups and Functions.
The R&D data backbone is the glue that binds the product development process within R&D; by harnessing internal and external data, we unlock creative insights, enabling advanced simulations and accelerate model development – driving a step-change in productivity, growth and innovation.

To fully realize this potential, we need both creativity and discipline. In a data-driven world, it’s critical that R&D can access the right data, at the right quality and at the right time to create business value. We must also evolve how we manage and exploit data as a strategic enterprise asset.

About the Role:

This role offers an exciting opportunity to contribute to the delivery of data-driven value creation which is pivotal for the digital transformation of R&D.

In this role you will:

1. Collaborate with R&D business teams to gather requirements for onboarding new data sources onto the R&D Data Platform and/or support the use of platform data in delivering tools that democratise data access across the R&D community.
2. Develop deep expertise as part of the Data Platform team building knowledge of the data managed within the platform. You will provide support and guidance to the R&D user community and Ecosystem partners on accessing and using data from the R&D Connected Data Platform, including the data products, tools and Dashboards.

Do you have a keen eye for detail and a passion for digital transformation through data and insight? Are you quick to learn, confident engaging with stakeholders and committed to champion continuous improvements? Do you want to be a data revolutionary within our business? If so, we’d love to welcome you to the Connected Data Team within Digital R&D.

Key Responsibilities:

• Engage with Business Group and Functional teams to understand their needs and explain the capabilities of the platform, helping them gather and document requirements for projects.
• Provide input for use cases and user stories, including acceptance criteria.
• Validate requirements with project leads and development team prior to technical discussion and estimation process
• Liaise with the wider team (e.g. Connected Data, Data Science Community and Experimental Data Capture Team and R&D IT) to identify optimal solutions to meet requirements
• Be the interface between R&D Business Projects and technical development team to ensure new capabilities are built as specified, ensuring any changes are clearly documented and signed off. Schedule & coordinate User Acceptance testing and sign-off.
• Work with change team to to develop training and communication material
• Manage project documentation and ensure its stored appropriately
• Provide consultancy / create business specific queries for ad-hoc analysis requests by R&D Data Scientist or provide guidance and support.

Key Skills / Experience:

• 2-3 years in a Data Analyst Role.
• Ability to understand, translate and document business requirements for transition to our Ecosystem of partners.
• Working knowledge in Azure Databricks, SQL, Python, R and Microsoft Power BI with a passion to learn new features on the platform such as AI tools (Azure Genie, AI Assistant, Co-pilot integration)
• Working Knowledge of Cloud based Big Data Platforms (e.g. Azure, AWS)
• Excellent Data Management skills with a good understanding of the Data Management process and reconciliation
• Strong analytical skills, problem solver
• Ability to lead, plan and deliver discrete data projects.
• Ability to work independently in an R&D focused environment
• Team player who can give direction in multi-discipline teams
• Strong accountability to deadlines
• Ability to work under time pressure
• Able to build and maintain relationships with business partners

Key Behaviours:

• Care Deeply about exploiting the use of existing and emerging capabilities to enhance business understanding, build trust and support others grow to unlock the value from platform data to deliver digital content
• Stay 3 Steps ahead of business needs, proactively identifying opportunities and challenges. Support the shaping of future-ready solutions whilst ensuring priority needs are met as quickly as possible.
• Deliver with Excellence by taking ownership and delivering high quality solutions with pace and precision. Holding yourself and others to account for results
• Focus on what counts to maximise impact and usage of data platform to drive changes in productivity, growth and innovation in R&D.

Our commitment to Equality, Diversity & Inclusion 

Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. 

"All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding."