Associate Director, Digital Marketing Quantitative Science

Associate Director, Digital Marketing Quantitative Science

Primary Responsibilities

  • Work closely with Digital Campaign Analytics Managers to design analytics methodologies, analyze customer behavior and customer journey, deep dive in vendors’ analytics and optimization capabilities, conduct content analysis
  • Extract deep analytics insights and provide actionable recommendations
  • Actively seek ways to address data gaps and quality to improve performance to maximize results
  • Work closely with the other advanced analytics team members in Data Analytics and Insights Group on the quarterly health checks, leading indicator development, Return on Investment (ROI) analysis, affinity models, customer segmentation as needed to enhance omni-channel targeting strategy
  • Work with different functional areas including Information Technology (IT), MDSI (Master Data Strategy & Integration), reporting, tagging, DET (Digital Engagement Team) and various project managers to expand digital data capture, enhance digital data quality and improve the data usage i.e. 3rd party data assets, email data, and content data
  • Keep up to date with the latest and advance in digital data science and evaluate external data assets as required; develop and test innovative omni-channel analytics and statistics solutions
  • Able to identify when an ongoing HCP digital analytical request should be migrated to the reporting and BI solutions team for automation; clearly articulate reporting requirements and facilitate automation needs; help with documentation, query standardization, etc.
  • Be comfortable of presenting to key partners and leaders and share key learnings across different internal stakeholders and teams
  • Build strategic relationships and manage communication


  • Expertise in digital media and customer analytics
  • Strong problem solving, business analysis and quantitative skills
  • Working knowledge of statistical principles to enable adequate understanding of design of experiments, algorithm models, the appropriate application of different models, and effective communication to business audiences
  • Deep understanding of Customer Relationship Management (CRM) database, data warehousing, architecture and  extract, transform, load  (ETL)
  • Fluent in Structured Query Language (SQL), R, Python and EXCEL or ability to learn quickly on the job as needed
  • Proficient in manipulating and analyzing complex data set for both planned and ad hoc analysis
  • Able to tell stories from diverse analytic and behavioral data in ways the end user can understand. Willingness to teach others but open-minded to learn.
  • Good understanding of web, media and content tagging and the impact of tagging can have on data quality
  • Detail oriented and commitment to producing high-quality work and maximizing resources, while meeting deadlines
  • Strong communications and presentational skills
  • Positive attitude, professional, courteous demeanor, strong work ethic and ability to collaborate in a constructive manner with others in a dynamic working environment
  • Always curious and asking questions that would improve customer experience and engagement
  • Ability to work within cross-functional teams
  • Ability to work on multiple tasks simultaneously

Experience & Education

  • Data driven mindset with 5 plus years of work experience doing quantitative analysis at the digital campaign and customer level
  • Bachelor’s degree in quantitative analytics fields (e.g. quantitative sciences, statistics, economics, engineering, operational research, or information system) is required, advanced degree strongly preferred.

Apply through the link below;



Posted on

April 28, 2021