Assistant Manager, Product Data Analyst (R-40031)
Job Title: Data Centre of ExcellenceAnalyst (1C/1D)
Location: Bangalore/Mumbai India
About Data & Analytics at Unilever
At Unilever, you’re much more than your job title. Here, you can uncover the work you’re most passionate about. And you can put your fresh thinking into action to create real impact across the world.
For Unilever to remain competitive in the future, we need to continue the path to become data intelligent. The purpose of the Data & Analytics team is to help Unilever become Data Intelligent and a clear analytical competitor- partnering with the business to power key decisions with data, insights, advanced analytics and AI.
Our ambition is to enable democratisation of data, information and insights as a completely agile organisation that builds fantastic careers for our people and is accountable for delivering great work that maximises impact and delivers growth.
The Data & Analytics function endeavours to create clear accountabilities for all aspects of Data Strategy, Data Management, Information Management, Analytics, and Insights. We are accountable for impact of solutions, maintaining market relevance and minimising unnecessary overlaps in analytics products, ensuring simplicity and that our solutions better meet the needs of our users.
We have four key operating principles:
- One team
- Connected to the business
- Deploying with pace and discipline
- Designing for experience
Our vision is to make Unilever data intelligent, partnering with the business to power key decisions with data, advanced analytics and AI to accelerate growth. Our 5 strategies to achieve this are:
- Accelerate & simplify access to relevant data, information and insights
- Build in-house, leading-edge data, information, insights & analytics capability
- Lead the data & insightsculture and careers to empower employees across Unilever
- Rapidly embed analytics products, solutions and services to drive growth
- Advance Information Automation at Scale
This is an exciting opportunity to join theproduct data engagement Team as part of Data & Analytics, Data Centre of Excellence (CoE). This role is hands on and tasked to deliver the data foundations needed to deliver critical analytics products that generates maximum value from data to drive business and organisational performance.
The role has three main accountabilities:
Serve as the trusted data analyst for the D&A analytics product team, building data into prduct DNA and driving thedata roadmap for product
As a functional Data CoEanalyst in supporting flagship analytics productsyou will design, execute and embed Enterprise Data Platform, delivering the data foundations needed to fuel our analytical products and deliver the democratisation of our data across the whole organisation.
As the Data Analyst, drive excellence in data readiness for the product ensuring the delivery of a strong enterprise data platform. This will include providing transparency over end-to-end linage, data governance and quality controls across our internal, 2nd and 3rd party data assets from source to product.
As a member of the product data engagement team you will be responsible topartner with analytics product owners to deliver underlying data platform. You will work with theSenior Data CoEManagementto execute and collaborate with senior stakeholders to (i)drive cultural shift around data within the organization; (ii) explore innovation opportunities around new data channels, new data feeds; (iii) identify interdependent activities and bias towards front-loading high impact work.
All About You
The ideal candidate will be a well-rounded commercial and analytics professional. They will have a good knowledge of the Global Customer operations / Shopper insights / ecommerce/promotion management and value chain in a consumer goods company, that is complemented by working knowledge of data management, data strategy or business information intelligence, and emerging technologies required to deliver a world class data service. Most importantly, the ideal candidate will enjoy rolling their sleeves up to drive towards outcomes.
Bachelor’s degree in computer science, statistics, mathematics, data modelling, economics, finance, business administration or similar technical background
Minimum 5+ years in demonstrable enterprise value realization from data and business intelligence.
Ability to manage multiple requests and priorities simultaneously in a highly VUCA and competitive market
Data Governance understanding preferred
Azure experience preferred
Data lifecycle management – Fully Operational
Analytical power and actionable insights generation – Working Knowledge
data domain knowledge of Global Customer / Shopper / ecommerce / exploitation/Trade promotion – preferable
Business Intelligence / Data Modelling and Visualization – Fully Operational
Technical knowledge SQL – working Knowledge
Coding Skills in Azure data bricks – preferable knowledge
Strong Communication and influencing skills - working Knowledge
Effective Team Management – preferable Knowledge
Project Management - preferable Knowledge