Lead Advanced Analytics

AT&TDallas, TX
1dOnsite

About The Position

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections. Overall Purpose: Apply advanced analytics, including predictive modeling, statistical analysis, and trend evaluation to drive data‑informed decisions and optimize business performance across the logistics organization.

Requirements

  • Bachelor’s degree in a quantitative field (e.g., Data Science, Mathematics, Statistics, Engineering, Physics) preferred
  • 5+ years of relevant experience including statistical modeling, Generative AI implementation, automation, business case creation, and cross functional collaboration.

Responsibilities

  • Generative AI: Develop and implement Generative/Agentic AI use cases inside business processes/workflows across logistics.
  • Data Analysis: Analyze and interpret diverse data sets to address business challenges, identify causal relationships, and generate predictive insights. Proficient with relational databases (e.g., Oracle, MySQL) and data‑warehouse platforms such as Snowflake, Databricks Data lake, and DEEP.
  • Statistical Methods & Decision Support: Use advanced statistical techniques and traditional modeling approaches to quantify variance and support business decisions. Tools may include Tableau, Palantir, Power BI (AI Insights), Databricks, AWS, and Azure
  • Business Case Development: Build business cases and develop complex analytical models using platforms such as Tableau, Power BI AI Insights, and Databricks. Create and validate predictive models (e.g., linear/logistic regression, time‑series forecasting).
  • Reporting & Insights: Develop dashboards, reports, and visual analytics to communicate data‑driven insights and advise stakeholders on strategic opportunities.
  • Cross‑Functional Collaboration: Partner with stakeholders across operations, technology, finance, and product teams to source, evaluate, and implement analytics and AI use cases that advance business objectives.
  • Serves as an expert‑level contributor, applying broad and deep expertise to resolve complex issues.
  • Leads major initiatives with strategic autonomy, influences executive‑level decisions, mentors junior staff, and contributes to long-term organizational planning.
  • Performs highly complex analytics work, builds advanced business models, and delivers recommendations that influence multiple organizations and business lines.

Benefits

  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service