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Senior Analyst, Customer Analytics & Data Science 269 views

Responsible for generating customer insights, customer reporting and predictive analytics in support of best-in-class marketing and retail strategies /programs. Responsible for managing and executing on analytics/reporting projects, s/he will report into the Manager, Global Customer Analytics and partner with Global Marketing & IT teams in fulfilling responsibilities.

  • Define, manage and execute projects under guidance of CRM/Analytics leadership
  • Have ownership on a project by project basis for advanced analytics, customer reporting and predictive modeling for implementing world class analytics/reporting to support business priorities.
  • To improve decision making for key stakeholders , perform analytics to monitor customer-focused business trends , and analyze marketing programs and research initiatives .
  • Develop data science models to drive marketing and business tactics (e.g. personalization) in support of customer retention and acquisition tactics.
  • Work in a cross-functional environment to define objectives, gather support and communicate analytics results effectively for senior management.
  • Share analytical insights and play role of analytics expert in multiple settings.
  • 4-5+ years of experience in analytics, management consulting and data science/predictive modeling roles
  • Bachelor’s Degree needed, Masters in a quantitative discipline (Statistics, Data Science, Math, Econometrics) preferred.
  • Demonstrated skills in selecting the right statistical/data science tools given a data analysis proble
  • Strong experience in SAS & Tableau required. Experience in R, SQL and other analytics tools (e.g. Python, Alteryx, RapidMiner).
  • Understanding of production-grad e data science environments and AWS. Knowledge of data science project lifecycle.
  • Proficient in MS Excel and PowerPoint.
  • Logical and creative thinker; comfortable with ambiguity and solving complex business problems.
  • Passionate about retail and applying analytics to solve business problems and generating insights.
  • Hands-on, “get-it-done”, results-driven mentality.
  • Strong project management and communication skills.
  • Experience working with cross-functional teams.

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