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AT&T Senior-Advanced Analytics in El Segundo, California

AT&T Entertainment group is looking for a talented, highly motivated individual with a strong quantitative orientation, a broad knowledge of math, statistics and business, hands-on data analysis skills and exceptional strategic thinking to join our Analytics organization.


Exemplify expertise in advanced analytics, preferably in the customer valuation space of video, broadband, and wireless. Your career demonstrates success in navigating massive data environments to tease out actionable insights. Problem solving for the impossible motivates you more than coffee in the morning. And, you have an uncanny ability to synthesize your analytics into easily digestible presentations for executives and marketing teams.

What you get to do:

Determine the profitability and lifetime value of every consumer doing business with AT&T!

Customer-level profitability drives pricing, offer, and retention strategies. You’ll get to wrangle dozens of data streams, lead analytic exploration, do business case analysis, build scenarios & forecasting, and drive insight mining. You’ll need to be dynamic in adjusting to priorities as the marketplace evolves, be resilient in aligning methodologies across varying cohorts of customer and product profiles and articulate in turning data into actionable outcomes for leadership to approve.

As the successfulcandidate you will:

  • Build out customer-levelmargin and Life Time Value metrics for Video products

  • Identify key segments /clusters of customers who are profitable – and those who are not – and learnwhat drives the difference… and how to create opportunities from theselearnings .Work closely with pricing, marketing, credit & collections,finance, and retention to improve their ability to acquire, serve, and retainevery customer household while maintaining profitability for our shareholdersYou’ll report to theAssociate Director of Predictive Analytics and Customer Valuation for AT&TEntertainment Group but can grow your personal brand across severalorganizations as the expert on customer value.

  • 5+ years in advancedanalytics field

  • Experience in Churn andRevenue / LTV analysis

  • Financial analyticexperience a major plus

  • R and/or SAS statisticalmodeling experience desired

  • Ability to translatecomplex analysis into simplified actionable insights Advanced degree inAnalytics, Computational Science, Computer Science, or Technical MBA

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status.