Lead Analytics & AI Strategy - Onsite in Dallas

AT&T

Dallas (TX)

On-site

USD 144,000 - 216,000

Full time

3 days ago
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Benefits offered by this job

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement
Paid Time Off
Parental Leave
Caregiver Leave
Adoption Reimbursement
Disability Benefits
Life Insurance
Employee discounts

Job summary

AT&T is seeking a Lead Advanced Analytics professional in Dallas to transform workforce and business data into actionable insights. You’ll partner with senior leaders to apply AI, predictive modeling, and modern data solutions, shaping decisions that improve employee experiences and organizational performance.

You will design dashboards, establish trusted metrics, and drive scalable analytics adoption across HR, finance, and technology.

Qualifications

  • 5+ years of related experience.
  • Strong SQL proficiency and experience with enterprise data environments.
  • Experience developing visuals and analytics solutions using modern cloud platforms.
  • Excellent written, verbal, and stakeholder communication skills.

Responsibilities

  • Turn complex workforce and business data into actionable insights for senior leaders.
  • Design dashboards, KPI frameworks, and self-service analytics solutions.
  • Apply predictive modeling, AI, and advanced analytics to drive performance.
  • Collaborate with HR, finance, and technology stakeholders to solve strategic workforce challenges.

Skills

SQL
Data Visualization
Cloud Platforms
Stakeholder comms
Generative AI
Python/R

Education

Bachelor’s degree in quantitative field

Tools

Power BI
Databricks
Microsoft Fabric
Snowflake
Azure

Job description

AT&T is seeking a Lead Advanced Analytics professional in Dallas to transform workforce and business data into actionable insights. You’ll partner with senior leaders to apply AI, predictive modeling, and modern data solutions, shaping decisions that improve employee experiences and organizational performance.

You will design dashboards, establish trusted metrics, and drive scalable analytics adoption across HR, finance, and technology.

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