Mirai- Data Analyst

Location: Bengaluru

Job Title:

Data Analyst

Location:

Bangalore

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.

Role Overview

We are undertaking enterprise transformation program focused on simplifying and modernizing its core systems and data architecture. As part of this initiative, we are seeking a mid-level  Data Analyst  to support our Data Analyst Lead in driving data standardization and integration efforts. In this role, you will help bridge the company's current data landscape (e.g. SAP ECC, SAP BW, existing data warehouses) with a new harmonized data model developed by global process owners.

You will leverage your  3–5 years  of experience and strong data modeling skills to map legacy data to the new model, develop functional specifications, and ensure that data across key domains (Finance, Supply Chain, Master Data, etc.) is accurately integrated. You will work closely with business process owners, data platform teams, and analytics teams, reporting to the Data Analyst Lead to ensure the new data model meets business needs and is successfully implemented.

This  Data Analyst  role is critical in ensuring the organization's data is harmonized and ready for advanced analytics as part of the transformation program. The ideal candidate combines solid technical data modeling abilities with an understanding of business data needs in areas like Finance and Supply Chain. By collaborating with the Data Analyst Lead and various stakeholders, you will help build a robust data foundation that supports the company's future-state processes and decision-making.

This position offers the opportunity to contribute to one of the organization's most significant transformation initiatives, with a direct impact on how data powers the business moving forward.

Key Responsibilities

Data Model Mapping & Harmonization:
Map existing data from current systems (SAP ECC, SAP BW, etc.) to the new harmonized enterprise data model. Identify gaps or inconsistencies between old and new data structures, ensuring all key business metrics (KPIs) are accurately represented in the new model. Document data mapping and transformation rules for use by development and analytics teams, and provide feedback to refine the data model based on insights gathered during the mapping process.
Functional Specification Development:
Collaborate with the Data Analyst Lead to create detailed functional specifications for building the new unified data layer. Define how source system fields and tables should be transformed, combined, or re-modeled to fit the harmonized design. Ensure that business rules (e.g. calculations, data derivations) are clearly captured in these specifications, providing a solid blueprint for data engineers and developers. Help maintain a data dictionary or glossary for the new data environment to facilitate a common understanding among stakeholders.
Data Pipeline Design & Operations:
Design, develop, and support data pipelines to extract, transform, and load (ETL/ELT) data into the new harmonized data platform. Utilize Azure Data Factory (ADF) for orchestration (scheduling, workflow management) and Azure Databricks (Spark) for large-scale data…