Senior Advanced Analytics Lead: Wireless Offer Performance

Net Impact; Dallas, Northern (TX, KY); Hybrid; USD 128,000 - 216,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and holidays

Paid Parental Leave

Life and disability insurance

Employee wellness programs

Job summary

AT&T seeks an experienced analytics professional to build a dedicated analytics capability and explain growth, profitability, and customer outcomes using data from diverse sources. The role partners with multiple teams to support offer strategy, forecasting, and budget decisions.

Ideal candidates have 5+ years in advanced analytics, a quantitative BS, and hands-on skills with Snowflake, Databricks, SQL, Python, Tableau/Power BI, and data warehouses.

Qualifications

• Bachelor’s degree in a quantitative field and 5+ years of analytics experience.
• Experience with enterprise data platforms, data warehouses, and analytics tools.
• Proficiency in statistical analysis, modeling, and forecasting to drive decisions.

Responsibilities

• Gather, validate, and analyze data from multiple sources to evaluate offer performance.
• Evaluate overall efficiency, spend, profitability, and customer quality across the portfolio.
• Develop insights to inform design, pricing, budgeting, and investment decisions.
• Build test-and-learn frameworks and lead executive-level reporting and dashboards.

Skills

Advanced analytics

Statistical analysis

Business modeling

Forecasting

Leadership

Education

Bachelor’s degree in a quantitative field

Tools

Snowflake

Databricks

SQL

Python

Tableau

Power BI

Job description

AT&T seeks an experienced analytics professional to build a dedicated analytics capability and explain growth, profitability, and customer outcomes using data from diverse sources. The role partners with multiple teams to support offer strategy, forecasting, and budget decisions.

Ideal candidates have 5+ years in advanced analytics, a quantitative BS, and hands-on skills with Snowflake, Databricks, SQL, Python, Tableau/Power BI, and data warehouses.