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Head of eBusiness Analytics & Data Science - St. Louis, MO

 

A career with MilliporeSigma is an ongoing journey of discovery: our 57,000 people are shaping how the world lives, works and plays through next generation advancements in healthcare, life science and performance materials. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others. MilliporeSigma is a business of Merck KGaA, Darmstadt, Germany.

 

Your Role: As part of our eBusiness Solutions organization, you will have the opportunity to work on the leading website in the life science industry to shape the overall customer experience and support the development of our digital strategy based on data-driven insights.  The Head of eBusiness Analytics and Data Science will lead a team of analysts, data scientists and data engineers leveraging our vast data repositories to deliver best in class eCommerce analysis to drive growth and profitability for the company as well as uncovering insights that will to shape our team’s strategy, priorities, and business targets. In this influential role you will be able to advise and direct strategic decisions utilizing insights derived from modeling and analysis of our data.

 

As the Head of eBusiness Analytics and Data Science you will be responsible for:

  • Developing and managing analytic capabilities/solutions (e.g. insights, tools, and systems) to drive understanding of key business drivers, and proactively evaluate performance trends; enabling the democratization of data for use through the organization
    • Prioritizing and leading ongoing ad hoc analysis of critical business questions; translate the analysis into actionable insights
    • Democratizing data for use through the organization by architecting and constructing data pipelines, repositories and reporting warehouses
    • Monitoring, evaluating and evangelizing improved data-driven views of site performance
    • Designing and implementing A/B testing and MVT strategies
    • Planning and implementation of site analytics tagging aligned with the needs of eBusiness and business partners
  • Implementing machine learning strategies and tactics that leverage billions of data points accumulated from our awarding winning websites and businesses built over decades (ie. recommendations, personas, causal impact)
  • Establishing success metrics/KPIs for eCommerce team and setting stretch targets
    • Lead financial forecasting and target setting activities
    • Support Objectives and Key Results with analysis and robust measurement protocols
  • Identifying opportunities to impact strategic decisions and improve overall business performance; mitigating headwinds while accelerating/leverage tailwinds
    • Prepare and present compelling business cases to drive investment opportunities (ie. translations, taxonomy)
  • Defining the future vision for data products and solutions for the organization; building the roadmap of investments to solve current data quality and availability challenges
  • Presenting concise analysis and recommendations to peers and senior management

  

This is an exciting role with the potential to leverage data, creativity, and technology, and will be highly visible at all levels of the organization. You are first a business leader, who can utilize expertise and understand data to build compelling narratives for the eCommerce team and other business leaders; You also have the technical skills to straddle and deliver not only basic analytics, but also advanced statistical and machine learning techniques that enable improved digital marketing and delivery of a world class customer experience.

 

This role can be located in St. Louis, MO, or Burlington, MA. 

  

Who You Are 

Minimum Qualifications:

  • BS degree in Statistics, Bioinformatics, Data Science, Economics, or Business with experience in a fast-growth, global eCommerce company; MBA preferred
  • Demonstrated success during 10+ years of experince leading a geographically dispersed team of 15+ Analysts, Data Scientists, and Data Engineers
  • 5+ years working with web analytics and reporting tools, cloud computing platforms and A/B testing platforms

 

Preferred Qualifications:

  • Proven ability to think strategically and use insights to influence strategy 
  • Collaborative, but with the ability to challenge and hold ground with business leaders
  • Demonstrated ability to effectively communicate complex statistical and data-intensive analysis in a way that resonates with executives and non-analysts; additionally, an ability to develop and improve the communication skills of others (both written and verbal)
  • Strong business and financial acumen, that clearly comes through in clear and cogent presentation skills and ability to convey a message to broad range of audiences
  • Ability to motivate, inspire, and align cross-functional teams with professionalism and clarity
  • Acumen for uncovering, evaluating, and prioritizing analysis and data science applications with an inherent intuition about the “right weight” of solutions and time spent
  • Strong collaboration across functions and locations, building relationships globally, seeking and creating alignment 
  • Decisive in the face of ambiguity; nimble response to challenging decisions 
  • Extensive experience with Google Analytics, Google Tag Manager, Google Cloud Platform
  • Experience with statistical analysis including statistical & data analysis tools such as SAS, SQL, R, Tableau or similar 
  • Domain expertise in digital analytics tools such as Adobe SiteCatalyst, Google Analytics, Facebook Insights, Twitter Analytics, Optimizely, and Kissmetrics
  • Experience applying statistical methodologies to enable key objectives including but not limited to cross sell/up sell, marketing automation and SEO
  • A track record for developing or selecting and integrating vendors with sophisticated models for marketing mix modeling, product recommendation engines, and marketing automation
  • Possess an excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • Experience in implementing and improving audience and segment definition and targeting, marketing automation, CLTV, SEO

 

What we offer: With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!

 

Curious? Apply and find more information at https://jobs.vibrantm.com


The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

Job Requisition ID:  219622
Location:  St. Louis
Career Level:  E - Professional (10+ years)
Working time model:  full-time

Careers during Covid-19
Thank you for visiting our careers website, we are always looking for curious minds to join our teams. We understand how much the world is being impacted by the Covid-19 crisis and we want to assure you that your safety is very important to us. To ensure that everyone’s health is protected, instead of a standard face-to-face interview, it is likely that you will be offered alternative digital interview options.

US Disclosure
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our HR Services team at 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday.


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