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• The enterprise empowers its global professionals to pursue bold curiosities, disrupt outdated workflows, and comfortably challenge legacy assumptions using their inherent intellectual drive.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.

Please click here to apply.