Principal Data Analysis

AT&T; United States; Remote; 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

Supplemental benefit programs

Employee Assistance Programs (EAP)

Extensive employee wellness programs

Employee discounts up to 50% off on AT

AT&T mobility plans and accessories,AT

AT&T internet (and fiber where avail)

Job summary

AT&T is seeking a Principal Data Analyst in Alpharetta, GA or Dallas, TX to lead enterprise analytics initiatives and mentor analytics professionals. The role emphasizes business intelligence, data governance, AI-enabled insights, and cross-functional collaboration with senior leaders.

Responsibilities include designing dashboards, guiding data strategy, implementing predictive models, and communicating findings with clarity to executives.

Qualifications

• Lead enterprise analytics initiatives translating data into actionable strategies.
• Develop predictive models, forecasting solutions, and AI-assisted insights.
• Define data strategies, KPIs, and measurement plans.
• Design dashboards and executive reporting for senior leaders.
• Govern data quality, lineage, and metadata across platforms.
• Mentor analytics professionals and guide technical reviews.

Responsibilities

• Lead enterprise analytics initiatives that translate data into actionable strategies and measurable outcomes.
• Translate complex findings into clear recommendations for senior leaders and stakeholders.
• Define data roadmaps, KPIs, and measurement plans with business and technology leaders.
• Develop or guide AI/ML solutions and analytics to improve decisions and performance.
• Design executive dashboards and reporting to communicate insights effectively.
• Provide technical leadership and mentoring to analytics teams.

Skills

Advanced SQL

Python

Statistical analysis

Data modeling

Predictive analytics

Forecasting

Experimentation

Power BI

Tableau

Executive reporting

Dashboard development

Data storytelling

Databricks

Snowflake

Cloud data platforms

Modern data architectures

Data warehousing

Lakehouse architectures

ETL/ELT

Data integration

Performance optimization

Machine learning

Generative AI

AI-assisted decision support

Data governance

Data quality

Data lineage

Metadata management

Enterprise data management

Analytical architecture

Agile

DataOps

Education

Bachelor's degree in computer science, data analytics, mathematics, statistics, engineering, information systems

Relevant certifications in analytics, cloud technologies, AI, Databricks, Snowflake

Tools

Databricks

Snowflake

Power BI

Tableau

Job description

This is a full-time onsite role based on the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.

Role Overview

The Principal Data Analyst leads the design and execution of complex analytics initiatives that transform enterprise data into strategic business insights and measurable outcomes. This role provides technical and thought leadership across advanced analytics, business intelligence, data management, governance, and emerging AI capabilities.

Key Roles and Responsibilities:

Responsibilities may include, but are not limited to:

• Enterprise Analytics Leadership: Lead complex, enterprise-wide analytical initiatives that translate data into actionable strategies, measurable outcomes, and business value.
• Data Analysis and Interpretation: Apply advanced statistical and analytical methods to identify trends, relationships, risks, and opportunities. Translate findings into clear recommendations for senior leaders and other stakeholders.
• Data Strategy and Roadmaps: Partner with business and technology leaders to define data strategies, analytical roadmaps, key performance indicator frameworks, and measurement plans.
• Advanced Analytics and AI: Develop or guide the implementation of predictive models, forecasting solutions, machine-learning applications, and AI-assisted insights that improve decision-making and operational performance.
• Business Intelligence and Visualization: Design and oversee executive dashboards, reporting solutions, and visualizations that communicate complex information clearly, accurately, and persuasively.
• Data Integration and Architecture: Provide technical direction for large-scale data integration, data modeling, ETL/ELT pipelines, data warehouses, and lakehouse architectures.
• Data Quality and Governance: Establish and promote practices for data quality, governance, metadata management, lineage, auditing, and discrepancy resolution across platforms and data domains.
• Technology Evaluation and Modernization: Evaluate emerging technologies and architectural approaches, including generative AI, machine learning, cloud data platforms, and advanced analytics tools. Recommend solutions aligned with business objectives and technical standards.
• Stakeholder Partnership: Collaborate with business, technology, architecture, governance, and data teams to define requirements, resolve complex challenges, and deliver scalable analytical solutions.
• Technical Leadership and Mentoring: Establish analytical best practices, provide guidance on challenging technical issues, conduct solution reviews, and mentor analytics professionals.
• Executive Communication: Present findings, recommendations, risks, and strategic options to senior leaders in a concise and business-focused manner.

Job Contribution

A recognized expert who applies extensive technical expertise, broad business knowledge, and strategic insight to address highly complex challenges and deliver organizational results. Leads critical, high-impact initiatives and develops innovative analytical strategies and solutions.

Works with minimal oversight, regularly advises senior leaders, and influences significant technical and business decisions. Serves as a mentor and trusted resource for resolving complex analytical, data, and technology issues.

Supervisory Responsibility:

No direct supervisory responsibility.

Career Step Differentiator

Leads enterprise-wide data and analytics initiatives involving complex data ecosystems, large-scale integration, advanced analytics, and AI-enabled insights. Serves as a strategic advisor and SME for analytics, data architecture, data governance, and business intelligence. Establishes technical direction, advances modernization, and enables senior leadership decision-making through data-driven strategies.

Education and Experience

• Bachelor’s degree in computer science, data analytics, mathematics, statistics, engineering, information systems, or a related field is desired.
• 7+ years of experience in data analytics, business intelligence, data engineering, data management, or a related discipline.
• 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 is preferred.
• Relevant certifications in analytics, cloud technologies, AI, Databricks, Snowflake, or related disciplines are a plus.

Technical Skills and Modern Analytics Technologies

• Advanced SQL, Python, statistical analysis, and data modeling
• Predictive analytics, forecasting, and analytical experimentation
• Power BI, Tableau, or comparable business intelligence platforms
• Executive reporting, dashboard development, and data storytelling
• Databricks and/or Snowflake
• Cloud data platforms and modern data architectures
• Data warehousing, lakehouse architectures, and ETL/ELT
• Large-scale data integration and performance optimization
• Machine learning, generative AI, and AI-assisted decision support
• Data governance, quality, lineage, and metadata management
• Enterprise data management and analytical architecture
• Agile delivery and DataOps practices

Our Principal Data Analysis jobs earn between $128,400.00 - $215,800.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:

40

Time Type:

Regular

Location:

Alpharetta, Georgia, Dallas, Texas

Salary Range:

$128,400.00 - $215,800.00

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.