Senior Advanced Analytics

Customer Experience & Analytics Team Mission

We are evangelists for customer experiences that create
trust with our customers, drive efficiency in our business, and put
daylight between us and the competition.

We are change agents

We leverage data and analytics
to tell persuasive stories that motivate step-change in the customer
experience
We collaborate to create
holistic, innovative solutions to do what’s best for our business,
employees and customers
We prioritize
decisively, focusing on speed of impact
We share our wins,
celebrate our partners and inspire employees across the business to take
action

When we are successful, customers will enthusiastically
recommend AT&T services to their friends, employees will be proud
to say they work at AT&T, and our business results will reflect our
position as a renowned customer experience brand.

The Customer Experience & Analytics team
is looking for a Senior Advanced Analyst to help develop and drive improvements
in our company based on data to improve customer experience, reduce operational
expense, and increase revenue. The analyst must be comfortable with
independently executing the whole analysis process: developing hypotheses and
methodology for the analysis, preforming the analysis using SQL or SAS, summarizing
their findings and recommendations in a persuasive deck, then presenting their
findings to senior leadership. This position is high exposure, and a successful
candidate would have the opportunity to present to officers often.

This position will work with other
analysts, our frontline, and business stakeholders to identify upstream root
causes of customer pain points / volume drivers by analyzing data, developing
and testing hypothesis and performing qualitative research; developing
well-defined, impactful business cases for recommendations; and helping
identify, quantify, plan and implement improvements. The products that will be
the main focus for these projects will be mobility, U-verse, and DIRECTV.

Additional Information:

Education:

Bachelor’s Degree in a quantitative field (Statistics, Mathematics, Science, etc) or related expertise, advanced degree preferred
Data Analyst and Business Analyst Nano degrees

Experience:

5-8 years in analytics
Ability to use advanced analytics techniques (statistical-modeling, data visualization, data mining) to extract actionable insights through analysis of large-scale, high-dimensional data
Independently develop analysis methodology and hypotheses
Distill complex analytics into a simple compelling story with recommendations, then present that story to executive stakeholders
Experience in statistical analysis languages tools (SAS, R, SPSS etc.)
Proficiency in SQL / Teradata / Vertica, knowledge of R and Python
Strong conceptual and creative problem-solving skills; ability to work with considerable ambiguity; ability and curiosity to learn new and complex concepts quickly
Experience diving into new data that hasn’t been analyzed before, and connecting a variety of complex data types from different sources
Typically possesses strong understanding of internal business structure and related stakeholders
Lead cross-functional working teams to develop hypothesis, vet findings and collaborate on recommendations