Assistant Marketing Manager - Analytics

Job Title: Assistant Marketing Manager - Analytics

Work Location: Mumbai HO

Function/BU: Beauty & Wellbeing, Marketing

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.

At HUL, we believe that every individual, irrespective of their race, colour, religion, gender, sexual orientation, gender identity or expression, age, nationality, caste, disability or marital status, can bring their purpose to life. So apply to us, to unleash your curiosity, challenge ideas and disrupt processes; use your energy to make the world a better place. As you work to make a real impact on the business and the world, we’ll work to help you become a better you!  

Job Purpose:

The role powers growth in B&W by offering data-led business insights and performance tracking. This role offers the candidate exposure to the global B&W business comprising brands such as Dove, Vaseline, Sunsilk, and Clear; large geographies such as the US, China, India, and Brazil; and functions such as marketing, finance, supply chain, and Uniops. The ideal candidate is of an analytical mind, with an innate ability to structure and translate business problems and questions into quantifiable metrics and solutions. The candidate understands the different metrics, in terms of not just how they are derived or calculated but also in terms of what they mean. The candidate loves data and knows their way around Excel sheets, as well as can help distill large, complex data into digestible insights for those who do not. The candidate has a keen eye for developments in the field of data analytics, especially the transformation being brought on by AI, and can bring these capabilities into Unilever.

Key Deliverables

• Support the Marketing Analytics Manager to deliver and manage performance Management Suites for Business Performance from Brand & BU Lens – delivered in the form of basic reports as well as IT-enabled dashboards using different data sources (such as financial, CMI, Procurement, Media, etc.)
• Manage the creation and accurate and on-time delivery of different performance reports for B&W
• Manage the delivery of Input and Output Measurement of Key Actions and Plans. Provide Data and Insight Support to Leadership Teams for key discussions and forums.
• Manage the regular performance reporting represented by B&W in all global forums.
• Under the guidance of the Marketing Analytics Manager, Lead Projects (collaborating with cross-functional teams, especially UniOPS)  to improve data and insight quality, especially developing the role of AI in data capture, data mining, and data presentation
• Manage all budgeting and procurement operations (budget management / Purchase Order Processing) for the BI team.
• Translate analysis into big-bold headlines to be used in stakeholder communications.

Key Skill Sets and Experience

• Expertise in Excel and Analysis is a must. Should have the ability to process vast data sets and distill insights
• Strong presentation-making and presenting skills
• Knowledge of key Unilever data sets – Media, Retail panel, Household Panel, BGS, Financial, Procurement, etc. Candidate needs to understand what metric is used to measure what part of brand performance and how metrics interact with each other. Knowledge of business warehousing systems
• Ability to democratize large data sets into simple insights and presentable formats.
• Acquaintance with B&W business categories and segmentation is desirable.