Principal Data Analysis

AT&T

Confirmed live today High trust

Closes in 6 days

Quick summary

Work type: On-site
Location: Dallas, TXAlpharetta, Georgia
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. Working as a subject matter expert, you will design data strategies, analytical 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. The role requires proficiency in SQL, Python, statistical analysis, and tools like Power BI, Tableau, Databricks, and Snowflake. You will solve complex business challenges by managing data governance, quality, and lineage across cloud data platforms to enable senior leadership decision-making through advanced analytics and generative AI-assisted insights.

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 Statistical Analysis Cloud Data Platforms

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 implement predictive models, machine learning applications, and AI-assisted insights.
Design 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 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).
Advanced SQL, Python, statistical analysis, and data modeling skills.
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.
Proficiency in Power BI, Tableau, or comparable business intelligence platforms.
Experience contributing to business strategy and mentoring technical professionals (preferred).
Relevant certifications in analytics, cloud technologies, AI, Databricks, Snowflake, or related disciplines (preferred).

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