Director - Analytics & Data Science at AT&T in Dallas, Georgia

Job Description:

AT&T’s (NYSE:T) Global Marketing Organization is seeking a forward-thinking marketing / data science & analytics functional expert to drive customer empathy & understanding via advanced analytics. This person will work closely with internal and external data, analytics, and business partners to build an advantaged understanding of audiences, customers, competition, and brand while improving the quality and impact of the GMO analytics learning agenda.

KEY JOB RESPONSIBILITIES

Fuel Brand, Audience, Marketing Insights Analytics

• Cultivate collaborative relationships with internal and external data and analytics partners; elevating the scope, quality, useability, and accessibility of data sourced from partners while enabling key data flows, integration, and automation initiatives
• Engineer and maintain owned primary and secondary data, while evolving the quality, useability, and accessibility
• Evolve marketing analytics methods and tools to better drive GMO impact
• Train, mentor, and develop analytics talent

Uncover Brand, Audience, Marketing Insights

• Conduct meaningful analytics to inform our understanding of our audiences, customers, brands, and marketing strategies and their impact on relevant outcomes

Deploy & Democratize Understanding of Brand, Audience, and Marketing

• Transform complex analyses into clear, easy-to-understand “storytelling” presentations
• Design and deploy high impact visualizations that transform data into insights
• Socialize, evangelize, and train marketers on new tools and techniques
• Influence decision making that drives the brand while being rooted in consumer / customer empathy

EXPERIENCE, CREDENTIALS, AND BEHAVIORS:

The successful candidates typically possess:

• 10+ years’ experience applying techniques in marketing / data science in the identification of impactful insights, with the ability to articulate a range of high impact cases.
• 3+ years’ experience coding/ programming with computational and statistical applications in R, Python, or equivalent
• Relevant Post graduate degree (MS, MBA, PhD) preferred: ie Marketing sciences, data science, applied statistics, etc
• Certification in data science: Google, IBM, DASCA, etc
• Fluency with Office Suite: Excel. Powerpoint, etc
• Expertise in:
  • Applied statistics (regression, optimization, segmentation, clustering, factor analysis, SEM, decision trees, random forests, etc) used to make inferences or predictions
  • Data exploration (dimensional reduction, PCA, Factor analysis) to explore hypothesis, craft visualizations, build models, or design algorithms
  • Data Management (architecture, engineering, pipeline), wrangling (flow, extraction, transformation, load)
  • Building / Rebuilding market models and simulations (customer relationship, social networks, 1:1 targeting, Bayesian models)
  • Insights visualization via relevant tools (Tableau, Power BI, etc)
  • Experimental design for analytics (sampling, sourcing, etc)
• Preferred experience:
  • Designing & deploying machine and deep learning algorithms
  • Leveraging multi-source data across marketing, customer, media, digital, and retail
  • Using big data processing frameworks / tools (Hadoop, Apache, etc)
• Key Behaviors:
  • Excited by difficult and unstructured problems
  • Loves to push towards best in class
  • Clearly exhibits a history of intellectual curiosity
  • Clear communicator with executive presence
  • Has a long history of partnering well across stakeholders
  • Customer focused and business savvy

Location

• Dallas, TX Preferred