Senior Analyst, Customer Analytics & Data Science 1329 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 problem
• 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.