Data Analytics Lead Health and Wellbeing


We are the Global Health & Wellbeing (H&W) team at Unilever. We are a start-up (less than 2 years old), focused on one of Unilever's largest growth opportunities - the €140bn Health & Wellbeing space defined by Vitamins, Minerals, and Supplements (VMS).

We work in an agile and entrepreneurial way, collaboratively within the team and with our Unilever colleagues around the world. We work in a project based networked way where everyone needs to be able to take a step back and think strategically as well as rolling up their sleeves and get their hands dirty, to be entrepreneurial and experiment as well as bringing in the best of Unilever and work the structures of a large company, to take charge and lead as well as follow and support others.


Unilever's Health & Wellbeing Group holds the company's functional nutrition brands and the portfolio of brands that includes Equilibra (Italy) and US acquired brands Olly, LiquidIV, SmartyPants, Welly and most recently, Onnit. Each brand is completely unique and focused on giving consumers superior experiences within their respective spaces and target segments. We are committed to continue grow this strategic business for Unilever through a series of acquisitions and international expansion of acquired brands through Unilever's scale and network in the markets.


We have embarked on a mission to build a world class E-commerce marketing & analytics ecosystem and capability suite that can be leveraged across the H&W brand portfolio. The intent is to supercharge the ecommerce, digital and data capabilities of the operating companies by creating a network of external data, digital and technology partners and leverage Unilever tools to bolster the expertise and capabilities of the companies to grow exponentially. We believe data will be our differentiator as we compete with entrenched brands in the categories. Role will work closely with operating company Ecommerce, Sales, Marketing and Data VPs.

About half of all purchase decisions are digitally influenced. With the ability to link any digital moment right through to purchase in the Connected World, data becomes the 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 categories.

The objective of this team is to enable the business 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.

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


- Create and manage "Performance Management" systems for Amazon , DTC and Omni customers
- Lead innovations on data-driven investment optimization and operational efficiency

- Embed and manage smart data analytics tools

- Continuously evaluate and embed data tools for H&W brands
- Develop Machine Learning solutions with external vendors and Customer Development IT team
- Partner with the Global Smart Data team to leverage and contribute to learning networks

  • 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 ecommerce: You believe that ecommerce 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

  • 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

Additional info


Unilever is an organization committed to diversity and inclusion 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. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics by federal, state, or local law.For more information, please see Equal Employment Opportunity Posters

Equal Opportunity/Affirmative Action Employer Minorities/Females/Protected Veterans/Persons with Disabilities

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