Unilever is hiring for an FRESHER entry level Data Analyst role in India

Position:

Data Analyst / Assistant Manager - Transformation & Analytics

Company:

Unilever

Location:

Bengaluru, Karnataka, India

Job type:

Full-time

Job mode:

Onsite

Job requisition id:

R-1184047

Years of experience:

0 to 3 years

Company description

Unilever stands as one of the most successful, globally recognized, and purpose-led consumer goods entities in existence today.
Producing household brands that resonate deeply across multiple continents, the business focuses on enhancing the daily routines of consumers while actively uplifting global communities.
Innovation serves as the ultimate catalyst for the organization's sustained marketplace growth, and the collective workforce firmly believes in leveraging commercial operations as an undeniable force for positive societal impact.
The enterprise empowers its global professionals to pursue bold curiosities, disrupt outdated workflows, and comfortably challenge legacy assumptions using their inherent intellectual drive.
Backed by a vast matrix of highly supportive organizational leaders and inspiring industry peers, individual team members are consistently given the space to realize their true professional potential.
Within the Indian subcontinent specifically, nine out of ten households regularly interact with the firm's consumer catalog to look better, feel better, and derive genuine value from day-to-day living.
This extensive reach presents the enterprise with an entirely unparalleled platform to engineer a significantly brighter, more sustainable global future.
Simultaneously, the Unilever Bangalore Hub functions directly as a vital, high-performance center powering the company's macro-level technology, corporate solutions, and enterprise analytics architectures.
Operating as a comprehensive technology engine, the regional Hub services over 190 global locations through a sophisticated, highly integrated framework of specialized corporate capabilities.
This enables the broader corporate ecosystem to remain thoroughly resilient, forward-looking, and fundamentally future-fit.

Profile overview

The position of Assistant Manager - Transformation & Analytics within the global Supplier Operations framework requires a dedicated professional capable of building comprehensive analytics platforms from scratch.
The chosen candidate assumes core ownership over the strategic configuration, operational deployment, and long-term scaling of descriptive and predictive data models.
This critical functional mandate focuses directly on transitioning historically decentralized, manual, and ad-hoc operational tracking frameworks into perfectly governed, fully automated enterprise layers.
The professional systematically builds highly advanced, insight-dense diagnostic scorecards designed to optimize international supply chain transparency and accelerate senior leadership's macro-level capital choices.
Acting as a primary corporate conduit, the role bridges distinct business teams, internal data repositories, procurement engineering departments, and external management consultants.
By establishing unambiguous structural definitions for performance metrics, the professional ensures that all operational metrics remain consistently verifiable, stable, and highly accurate.
The individual works in close alignment with the Global Strategic Program Manager to align daily activities with overarching global modernization targets.
The specialized function demands an analytical leader capable of untangling complex database structures while communicating practical data strategies to non-technical operational leaders.
Through continuous data engineering efforts, this professional safeguards the operational performance of cross-border supplier processes.
Ultimately, the role translates raw enterprise data points into powerful tools that guide large-scale organizational adaptations.

Qualifications

Applicants should possess a background in technical or analytics disciplines, supplemented by practical exposure to modern business intelligence applications.
Practical familiarity with building data structures within Power BI environments stands as a critical baseline qualification for this enterprise role.
Candidates must demonstrate explicit capabilities in building efficient relational schemas, writing data analysis expressions, and optimizing large-scale dashboard performance.
Experience utilizing auxiliary business process applications such as the Power Platform suite, Power Apps, and Power Automate is highly advantageous for driving automation.
Advanced mastery over high-volume data operations and legacy spreadsheet macros is deeply valuable for converting historical data archives into clean databases.
A clear understanding of standard governance rules, metric definition procedures, and enterprise data lifecycle frameworks is mandatory for success.
The prospective professional must show an innate ability to decipher complex corporate processes and reconstruct them into streamlined automated workflows.
Exceptional communication skills are necessary to articulate technical database structures to senior non-technical business partners.
The candidate must be comfortable working within evolving corporate structures where technical specifications are not yet fully standardized.
Proven experience managing analytical deployment lifecycles from preliminary architecture mapping to final business-as-usual operations is highly valued.

Additional info

The organizational position offers an unparalleled opportunity to eliminate friction across international supply networks through advanced corporate automation projects.
Successful execution of the role leads to a structural drop in manual administrative tasks, freeing up valuable cognitive capacity for strategic planning.
The role builds high levels of cross-functional reliability, transforming fragmented information pipelines into central, authoritative data sources for international operations.
Corporate leaders leverage these automated reporting assets to reduce analytical latency and capture rapid market advantages.
Furthermore, the position provides a structured platform for professional development through continuous exposure to highly advanced cloud data lakes.
Team members are encouraged to mentor their peers, fostering a culture centered on self-service data discovery and automated problem-solving.
This focus ensures long-term operational resilience and helps the wider business unit withstand rapidly changing geopolitical landscape realities.
The company operates under a strict anti-fraud recruitment policy, meaning all legitimate employment confirmations are processed exclusively via the official applicant portal.
Prospective candidates are advised to verify all recruitment communications to protect themselves against sophisticated phishing attempts or illegitimate offers.
Joining this global team guarantees immersion in a forward-thinking culture that treats analytical discovery as a primary pillar of long-term business growth.