Principal Data Analysis

AT&T

Confirmed live today High trust

Closes in 6 days

Quick summary

Work type: On-site
Location: Alpharetta, GADallas, TX
Salary: $128,400–$215,800 / yr
Posted: 2 days ago
Freshness: Confirmed live today
Closes: Oct 21, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k

This role $172k

$116k $244k

below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $158,718–$217,400 — the blue band above. At the midpoint, this role pays about $172k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About AT&T

AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.

AT&T currently has 106 open roles on FindRole.

Listed pay typically runs $99,050–$197,122 across 98 roles with salary data.

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At a glance

TL;DR · Principal Data Analysis

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The Principal Data Analysis role involves leading complex, enterprise-wide analytics initiatives to transform data into strategic business insights. You will serve as a subject matter expert and strategic advisor, designing data strategies, roadmaps, and KPI frameworks while mentoring analytics professionals. Day-to-day responsibilities include developing predictive models, forecasting solutions, and machine learning applications, as well as overseeing executive dashboards and reporting solutions. You will provide technical direction for large-scale data integration, ETL/ELT pipelines, and lakehouse architectures. Required skills include advanced SQL, Python, statistical analysis, and data modeling using tools like Power BI, Tableau, Databricks, and Snowflake. The role addresses complex business challenges by establishing data governance, quality, and lineage practices across cloud data platforms to enable data-driven decision-making for senior leadership.

Skills

SQL Python Databricks Snowflake Power BI Tableau Machine Learning Generative AI ETL/ELT Data Warehousing Lakehouse Architecture Data Governance Data Modeling Predictive Analytics DataOps Agile Statistical Analysis

What you'll do

Lead complex, enterprise-wide analytical initiatives to translate data into actionable business strategies.
Apply advanced statistical methods to identify trends and provide clear recommendations to senior leaders.
Define data strategies, analytical roadmaps, and KPI frameworks in partnership with business leaders.
Develop and guide the implementation of predictive models, machine learning applications, and AI-assisted insights.
Design and oversee executive dashboards and reporting solutions to communicate complex information clearly.
Provide technical direction for large-scale data integration, ETL/ELT pipelines, and lakehouse architectures.
Establish practices for data quality, governance, metadata management, and lineage across all platforms.
Mentor analytics professionals and establish best practices for solving challenging technical issues.

What we're looking for

7+ years of experience in data analytics, business intelligence, data engineering, data management, or a related discipline.
Bachelor’s degree in computer science, data analytics, mathematics, statistics, engineering, information systems, or a related field (preferred).
Experience leading large-scale, cross-functional analytics initiatives and delivering business-critical solutions.
Experience translating complex analytical findings into recommendations for senior leaders and nontechnical stakeholders.
Experience contributing to business strategy and mentoring technical professionals (preferred).
Relevant certifications in analytics, cloud technologies, AI, Databricks, Snowflake, or related disciplines (preferred).
Advanced SQL, Python, statistical analysis, and data modeling skills.
Proficiency in Power BI, Tableau, or comparable business intelligence platforms.

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