Principal Data Analysis & Strategy Leader

AT&T; Dallas (TX); On-site; 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

Paid Caregiver Leave

Adoption Reimbursement

Disability Benefits

Life and Accidental Death Insurance

Wellness programs

Employee discounts

Job summary

AT&T in Dallas and Atlanta seeks a Principal Data Analyst to design solutions for data sourcing, synchronization, and performance across the compensation technology stack. The role is highly visible, influencing executive decisions and leading high-impact projects.

The ideal candidate brings strong technical skills with leadership experience, focusing on evolving end-to-end data architecture, new compensation plans, and enhancements to existing plans.

Qualifications

• Bachelor’s degree in Computer Science or related field; 7+ years of related experience.
• Certification is required in some areas.

Responsibilities

• Data Collection and Processing: Gather, preprocess, and cleanse data from various sources to ensure it is accurate and ready for analysis.
• Data Analysis and Interpretation: Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions.
• Reporting and Visualization: Create clear, factual/precise, and compelling data visualizations and reports to effectively communicate findings to stakeholders.
• Discrepancy Resolution and Quality Assurance: Identify, resolve, and ensure the accuracy of data discrepancies across platforms, maintaining data reliability through quality control and auditing.
• Analytical Tools: Includes SQL, PowerBI, Python, etc.

Skills

SQL

PowerBI

Python

Education

Bachelor's degree in CS/Math or related

Job description

AT&T in Dallas and Atlanta seeks a Principal Data Analyst to design solutions for data sourcing, synchronization, and performance across the compensation technology stack. The role is highly visible, influencing executive decisions and leading high-impact projects.

The ideal candidate brings strong technical skills with leadership experience, focusing on evolving end-to-end data architecture, new compensation plans, and enhancements to existing plans.