Job Description

Job Title: TPX Product SME

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.

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!

Background

For Unilever to remain competitive in the future, the business needs to continue its path to become data intelligent. The Data 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 Data and Analytics strategy:

Deliver Intelligent systems at scale. Powering Business (cross functional) and Customer Development area 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 Market. 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 science access for every part of Unilever, across the 3 data framework (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.

World-class Data: One Version of the Facts. Continued excellence in delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big BUniOps, Strategic Initiatives and Leadership team reporting

This is an exciting new role in the Data & Analytics, which is tasked to deliver maximum value from data to drive business and organization performance.

The UNIOPS D&A CD Analytics Product group helps the global Unilever CD business win with data, data science, and analytics in a way that leverages the close engagement/ relationship with CD leadership supported by a data science hub team so that they can solve for both large transformation programs and near term business problems.

The UNIOPS D&A CD Analytics Product group is composed of product managers, analytics managers and product activation managers who can: quickly 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.

Main Purpose of the Job:

Expected Work

This role will focus on supporting a multi-functional team to develop and deploy, the algorithmic powered solution, Trade Promotion Analytics Suite of products (TPX) into Unilever markets. TPX is intended to help the business make more effective decisions in the in the areas of Net Revenue Management (NRM) and Promotion planning within the iOPS program. The role will be expected to blend the expertise of Product Management, Business Consultancy, Data Analysis and Business Intelligence to design, develop and govern the solutions. These prototypes if successful will be expected to be scaled where the Data Engineer will be expected to partner technical teams and cover the key aspects of data required to deliver information and analytics capabilities for Customer Development teams.

To be successful, the candidate should thrive working with both technical teams and commercial business teams. Ensuring a healthy balance between global scale and local relevancy of the solutions is also the key expectation to this role.

The role has three main responsibilities:

Design and govern new product features and/or logics to ensure product is future-proof and deployment is efficient as part of TPX product roadmap

Work with multiple internal and external teams to support the development and deployment of TPX into various markets as identified in iOPs market roadmap

Own and communicate information on product logics and relevant data sources from the global product design to support the configuration for market deploymemt

Key accountabilities:

Work with senior leaders to understand business problems, design needs and deliver excellent analytical solutions to address Unilever's trade spend challenges

Recommend and innovate at least 1-2 new features driven by global needs to ensure TPA continues to deliver value on evolving business needs

Review and share feedback on market initiated CRs to ensure alignment with the global product roadmap

Maintain and govern global product principles, integration design, logics and KPIs to support deployment managers in landing TPX product into the market

Recommend data logics and/or requirements for multi-platform integrations

Support the training and development of the product to other core teams' members within the organization

Lead market engagement in translating global change request into analytics requirements and developing working prototypes for obtaining signing off for build

Experience and qualifications required:

Standards of Leadership Required in This Role

Business Acumen

Personal Mastery

Agility

Passion for High Performance

Key Skills Required

Professional Skills

Analytics Modelling and Techniques

Analytic Platforms

Data Exploitation

Platform Technology

Data Visualisation

General Skills

Client Management

Change Management

Project Management

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

Relevant Experience:

Bachelor/Masters Degree in a relevant field (Business Analytics, Operations Research, Computer Science, Statistics, Engineering, Econometrics, or Mathematics) is preferred

3 years' experience of working as a data engineer or business analyst is preferred

Experience deploying analytics product from design to business go-live is preferred

Experience working with business leaders to drive definition, alignment, and support for application of analytics and data to address complex business issues (e.g. centralization of promotion spending decisions)

Ability to rapidly connect and match analytics and data products to business needs

Expert knowledge of an analysis tool such as Python, R, SQL, Matlab or SAS

Experience working with large data sets, experience working with distributed computing tools a plus (Spark, MapReduce, Hadoop, Hive, etc.)

Familiarity with relational databases

Working knowledge to apply Microsoft Azure analytics product to develop scaled analytic models in the cloud

Ability to deal with error logging, bad record handling and design scalable human-fault-tolerant data pipelines

Ability to apply an agile analytic approach that allows for results at varying levels of precision

Ability to communicate complex quantitative insights in a precise, and actionable manner

Passion for data, new data technologies, and discovering new and interesting solutions to the company's information or business needs

Key interfaces

Internal

iOPS and CD Directors

D&A Data Science team

D&A Product managers

D&A DAAP, Solution Factory and Information Factory

External

Partner Analytics and Contractors

PMO team

Targeted Universities for developing innovations