Assistant Manager – Product Analytics

Job Title: Assistant Manager – Product Analytics

Location: Mumbai

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 tomake a real impact on the business and the world, we’ll work to help you become a better you.

We are looking to hire an Product Analyst for the in-market team in South Asia.

This is an exciting role in the Data & Analytics team partnering the 2nd largest Unilever business HUL. Unlocking growth, consumer and customer value while driving efficiencies and building future ready capabilities using business analytics, ML & AI is core to what we do everyday!

Your Team: The Data & Analytics In-Market team helps our Unilever businesses win competitively in market using data, data science, and analytics. We leverage Our close engagement/ relationship with brands, marketing, supply chain and customer development leadership to solve for both large transformation programs and near-term business problems. The team is composed of business analysts, data scientists, and data experts who understand the business context & problem, apply advanced mathematics and/or statistics to large data sets; and operate in cloud based environments where data, models, and user interfaces reside in the same platforms-core technologies.

Job description of the role:

• This is a techno functional role to support the delivery of key data & analytics product and technology roadmap for HUL and South Asia

• Specifically, this role will focus on working on in-market business problems coming from Consumer experience covering all aspects of 6P marketing, brand performance & category insights.

• You’ll play the key role of integrating critical D&A products from reporting to advance analytics products which support decision making for our brands and business units

• You’ll partner and engage with business & global leads and teams to evolve and manage the D&A platforms that to deliver relevant insights that lead to actions.

• Support the Head of Data & Analytics in evangelizing the use of data plafforms in business decisions. Help accelerate the organization journey to become fully data literate and digitally savvy.

Key Accountabilities:

• Build and deliver the joint business plan priorities between Data & Analytics team and the market leadership teams.

• Manage their portfolio of D&A information and analytics platform and products to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics

• Partner with CMI, Media, R&D, NRM teams to deliver key projects for categories and brands

• Partner with the Global Unilever D&A teams to manage product deployment in-market

• The position is an individual contributor role working closely with the Data engineers, Business Analyst, Global and in Market UniOps teams.  This position is expected to be ‘hands on’ applying own data skillsets.  This role will also manage third party resources as required.

Relevant Experience:

• B.S. or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics). Analytical Development experience of 3+ years preferred.

• Strong track record in solving analytical problems using data

  • Expert knowledge in solving Reporting, BI and Analysis solutions.

  • Good functional knowledge of two or more marketing data sets – Nielsen, Kantar, Internal Sales, Media, NRM etc.

  • Experience in PowerBI, Excel, SQL or similar tools

• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources;

  • Experienced knowledge working with large data sets, experience working in Azure, Microsoft Power Toolkits is a plus

  • Python knowledge will be a plus

• Passion for analysis and for answering hard questions with data

• Ability to plan and implement projects collaborating with multiple team members

• Strong communication skills and ability to work with peers and demonstrate vertical and lateral influence.

Data & Analytics in Unilever:

For Unilever toremain competitive in the future, the business needs to continue its path to become data intelligent. The Information and Analytics team is responsible for building data, data science and analytics as a core capability to help the business become data intelligent and drive business and organization performance. The team will deliver advanced products at scale and work closely with the market teams to ensure that decisions in Unilever are augmented with insight & recommendations wherever possible.

There are five major themes to the Information and Analytics strategy:

• Deliver Intelligent systems at scale. Powering Business (cross functional), Customer Development area & Supply Chain through data and analytics. Building out the right applications to enable business teams to move faster, with more accurate and future looking decisions leveraging Big Data & Data Science

• Winning disproportionately in Markets. We believe that the best way to move the needle for Unilever in Analytics is to work with leading geographies to create analytics products that make a significant impact on our business

• Drive Unilever to assisted and predictive decision-making. The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.

• Make data a true asset. Better data and data scienceaccessfor every part of Unilever, across the 3 -data framework (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.

• World-class Information: One Version of the Facts. Continued excellence in delivery of diagnostics and insights tofocus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership teamreporting