Lead Advanced Analytics

AT&T AT&T · Telecom · Atlanta, GA +1

Lead Advanced Analytics role focused on supporting Mass Markets distribution through channel modeling, optimization, and planning. The role involves analyzing retail and non-retail portfolio assets, developing forecasts, and presenting insights to leaders. Requires strong data analysis, statistical methods, business case development, and predictive modeling skills using tools like Tableau, PowerBI, Databricks, and SQL. Experience with AI techniques, Snowflake, Python, and forecasting models is necessary. The role emphasizes strategic thinking, communication, and leadership in a fast-paced environment.

What you'd actually do

  1. Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions.
  2. Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making.
  3. Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc.
  4. Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series).
  5. Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions.

Skills

Required

  • Advanced SQL
  • AI techniques
  • Snowflake
  • Python
  • Tableau
  • PowerBI
  • Forecasting models
  • Time series analysis
  • Regression models
  • Excel
  • VBA scripting
  • Analytical skills
  • Problem-solving
  • Strategic skills
  • Verbal and written communication skills
  • Leadership and team management
  • Presentation skills
  • GIS
  • Mapping Platforms
  • Spatial Analytics

Nice to have

  • GIS platforms
  • financial acumen

What the JD emphasized

  • strong financial acumen preferred
  • structured ambiguity into clear deliverables
  • turn industry trends into actionable insights
  • structure ambiguity into deliverables that everyone can understand
  • getting “hands on” to understand new technologies, proof of concepts, and capabilities
  • Accountability is your middle name
  • stay ahead of potential challenges
  • formulating answers to solve problems we can’t yet see on the horizon
  • strong sense of urgency
  • ready to galvanize our work
  • Experience in GIS platforms
  • Strong hands‑on command of data and advanced SQL skills
  • Strong knowledge and hands-on experience with AI techniques
  • Experience in developing and managing forecasting models, including time series analysis and regression models.

Other signals

  • Develop business cases and create complex models utilizing big data analytics tools
  • Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios
  • Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making
  • Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions