Head of eBusiness Analytics & Data Science - Burlington, MA

Job Info

A career with MilliporeSigma is an ongoing journey of discovery: our 58,000 people are shaping how the world lives, works and plays through next generation advancements in Healthcare, Life Science and Electronics. 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 experinceleading 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: 220867

Location: Burlington

Career Level: E - Professional (10+ years)

Working time model: full-time

More Science and Research jobs

Technical Resources International
Bethesda, Maryland
Posted about 20 hours ago

Technical Resources International
Bethesda, Maryland
Posted about 20 hours ago

Technical Resources International
Bethesda, Maryland
Posted about 20 hours ago
View Science and Research jobs ยป

Job Alerts

Provide an email, zip code for jobs, and/or job category to subscribe to job alerts. Learn more now.

*By subscribing, you agree to our Terms and Privacy Policy.

Share this job with the community

Click a community link below, and then social share the Head of eBusiness Analytics & Data Science - Burlington, MA job.

African American Job Search Logo
Asian Job Search Logo
Disabled Job Seekers Logo
Hispanic Job Exchange Logo
LGBT Job Search Logo
Seniors to Work Logo
US Diversity Job Search Logo
Veteran Job Center Logo