Mgr, Customer Analytics

Bloomin' Brands - Tampa, FL (30+ days ago)3.6

Job Details
What differentiates this role?
  • Demonstrated expertise of data management, process development, modeling, and analytics. Ability to develop, implement, and communicate independent analyses.
  • Experience working with both sales (POS) and customer level data – preferably loyalty programs. Experience defining customer metrics e.g. R/F/M modeling
  • Proven ability to manage and integrate data, tools, processes, and systems across disparate data sets
  • Strong communication skills, ability to synthesize data into compelling stories and to communicate across all levels of the organization
Primary Responsibilities/Accountabilities:

Mine BBI Customer Data
  • Develop analyses of customer data - segments based on purchase behavior, frequency, and/or demographics
  • Identify and communicate key attributes of meaningful customer segments
  • Partner with Marketing and Operations to design and implement customer analytic learning in marketing programs and operational initiatives
Mine BBI POS Data
  • Analyze BBI marketing efforts and promotions to assess impact
  • Independently develop analyses on complex data sets – such as check level data – finding relationships and patterns in the data to drive BBI sales
Develop communications of data and analytics
  • Develop reports, templates, and dashboards to ensure information communication throughout the organization
  • Develop data and analytic based presentations/stories to share learning and build consensus
Organizational Effectiveness:
  • Expand the scope and influence of the analytics function through demonstrated business savvy, influencing skills, and effective communication.
  • Effectiveness skills:
  • Organizational Agility
  • Execution with excellence
  • Shared accountability - Working as a key member of a wider TEAM

  • The candidate will require at least 5 years’ experience within consumer data/data analysis
  • Candidate should have direct experience managing customer level data and/or sales data experience.
  • The candidate will have technical experience with data visualization tools such as Machine Learning, R, SQL, Tableau and/or Microsoft Power BI.
  • It also requires a proven ability to collaborate with multiple levels of an organization and experience in communicating with a non-technical audience.

Master’s Degree (Information Technology, Statistics, and Analytics) preferred