D-commerce Product Analyst

Background

For Unilever to remain competitive in the future, the business needs to continue its path to become data intelligent. The dCommerce Analytics Hub 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 Digital and Technology 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 the 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 a 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 frameworks (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
• World-class Information: One Version of the Facts. Continued excellence in the delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting.
  
  

This role is part of the global dCom, which is tasked to deliver maximum value from data to drive business and organization performance within each respective market.

The eCommerce data analyst role will work closely with both Market (Philippines) and Business Units (SEA+ID) stakeholders to help the digital commerce business unlock value in data and drive both incremental growth and fuel for growth through the deployment of analytics and data science.

Main Purpose of the Job

Expected Work

Role

This role seeks for an experienced e-commerce analytics professional to help innovate, drive and deploy key analytics capabilities to support our Digital Commerce business stakeholders SEA region. You will be expected to drive the following key thrusts:

Work with stakeholders to understand business needs and define technical requirements Build Data and analytics products for Digital commerce and Social commerce Deploy core capabilities into Philippines and SEA as part of the SEA dCommerce Hub Lead the design and methodology for capabilities around NRM, Retail media and Campaigns Drive local insights and analyses and / or leading local innovations in analytics and data science

This role will be expected to blend the expertise of Analytics & Data Science (70%) with Business Consultancy (15%) and Project Management (15%), in sourcing/supporting the development of data capabilities to fuel analytics.

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.

Key Accountabilities

• Serve as the trusted data and analytics consultant for digital commerce stakeholders
• Deliver core analytics product portfolio as part of the SEA dCommerce analytics hub
• Perform business requirements gathering and translation into analytics requirements
• Work seamless with other teams e.g. Business, Data Science, Data Expertise and Product Owners
  
  

Relevant Experience

• Have Undergraduate or Masters Degree level qualifications. Preferred (but not a requirement) disciplines include; Operations Research, Economics/Mathematics, Business Studies/MBA, Engineering. Overall experience of 3+ years preferred
• Experience in eCommerce analytics (churn, loyalty, shopper behaviour, UI/UX, etc..)
• Working experience with an online retailer will be a plus
• Strong track record of working with business partners to drive definition, alignment, and support for application of analytics and data to address complex business issues.
• Passion for problem solving and for answering hard questions with data and technology
• Ability to rapidly connect + match analytics and data products to business needs
• Expert knowledge of an analysis tool such as Microsoft PowerBI, and Tableau
• Expert knowledge of an analysis tool such as Python
• Working knowledge to apply Microsoft Azure analytics product to develop scaled analytic models in the cloud (e.g. Azure Databricks)
• 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
  

We highly encourage applicants to exclude information on age, gender, and school/s in view of Equity, Diversity, and Inclusion. Unilever assesses candidates based on skills, performance, experience and leadership.

Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.