Business Intelligence Lead, Omnichannel

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

About half of all purchase decisions are digitally influenced. The ability to link any digital moment right through to purchase in the Connected World, means that data becomes key to unlocking new growth opportunities. Unilever eCommerce sales will depend heavily on influencing shoppers to start shopping online more frequently, making larger purchases and buying from a broader array of Unilever categories.

The objective of smart data is to enable Unilever Omni Commerce teams to create a mutually profitable and high-growth business with eCommerce retailers.

To excel in this role, you must have passion, proven credentials of driving “data driven” growth and be able to get into the details of the analysis. You will work closely with a team of data scientists and technology teams. This is a great opportunity for someone, who wants to be a part of an aggressive data-driven growth agenda, to leverage the latest capabilities of machine learning, robotic process automations and artificial intelligence to make a big impact and leave a positive legacy for Unilever.

Still interested? Great! Keep reading to learn what else makes this opportunity unique.

Who You Are & What You’ll Do

• Your mantra is “data-driven” growth: You believe that data is Unilever’s greatest asset – it drives growth, transforms companies and is the biggest bet against disruption. You will need to:
• Get into the details of data, basic modelling and forecasting
• Develop performance management systems (Business Intelligence) and analytics for “speed & growth”
• Automate and scale with IT teams
• You are passionate about Omni Commerce: You believe that Omni Commerce is not only transforming the way people shop and interact with our brands, it’s an influential media vehicle with future path-breaking capabilities
• You are a self-starter: You love working with ambiguity, developing new solutions and challenging the immune systems within corporation
• You love building out your own analytics “apps”: You are not happy with black boxes or check boxes – you like to create your own applications using visual analytics, modelling and technology. You love to invent, simplify and automate
• You are a teacher, a guru: You can make the most complex things easy to understand and you thrive on training people on new techniques and tools
• You know if it’s not real-time, it’s probably too late: You believe in process automation, assisted and predictive decision making

Primary Responsibilities:

- Create and manage Performance Management systems for Omni Commerce
- Lead innovations on data-driven investment optimization and operational efficiency (availability)

- Embed and manage smart data analytics tools

- Continuously evaluate and embed data tools for U.S. Amazon team
- Develop Machine Learning solutions with external vendors and Customer Development IT team

- Manage budgets for U.S. Omni workstreams
- Work with the Global Omni Commerce teams to contribute to learning networks

What You’ll Need To Succeed

• Bachelor’s degree in marketing, statistics or related field (Master’s degree preferred)
• A minimum of 6-8 years of experience in statistical modelling, creating analytics frameworks for retail or eCommerce
• A deep understanding of the eCommerce shopper journey – demand creation through media, demand capture, winning portfolio and demand fulfilment
• Robust experience partnering with analytics agencies and eCommerce business teams to deliver analytics solutions, including data management, forecasting, optimization, predictive modelling and visualization; experience with machine learning a major plus
• Good understanding of financial metrics, pricing, return on investment and promo evaluations
• Working knowledge of IT data warehousing and data sources along with experience in marketing automation
• Working knowledge of digital media, search and investment optimization