Principal Data Analysis

AT&T • Dallas, TX

1d • Onsite

About The Position

The Principal Data Analyst leads the design and execution of complex analytics initiatives that transform enterprise data into strategic business insights and measurable outcomes. The role provides technical and thought leadership across advanced analytics, business intelligence, data management, governance, and emerging AI capabilities. As a strategic advisor and subject matter expert, the analyst contributes to enterprise data strategy, leads business-critical initiatives, mentors analytics professionals, and advises senior leaders on complex decisions. The role uses technologies including cloud data platforms, predictive analytics, machine learning, and AI-assisted solutions to address complex business challenges and advance analytical capabilities. Experience with Databricks and/or Snowflake is highly desirable.

This is a full-time, onsite position performed at the designated work location five days per week. The role is based in Alpharetta, Georgia, or Dallas, Texas. No relocation is offered. It has no direct supervisory responsibility and works with minimal oversight while regularly advising senior leaders and influencing significant technical and business decisions.

Requirements

• 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.
• Advanced SQL, Python, statistical analysis, and data modeling.
• Knowledge of predictive analytics, forecasting, and analytical experimentation.
• Experience with Power BI, Tableau, or comparable business intelligence platforms.
• Skills in executive reporting, dashboard development, and data storytelling.
• Knowledge of cloud data platforms and modern data architectures.
• Knowledge of data warehousing, lakehouse architectures, ETL/ELT, large-scale data integration, and performance optimization.
• Knowledge of machine learning, generative AI, and AI-assisted decision support.
• Knowledge of data governance, quality, lineage, and metadata management, as well as enterprise data management and analytical architecture.
• Knowledge of Agile delivery and DataOps practices.

Nice To Haves

• Experience with Databricks and/or Snowflake is highly desirable.
• 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.

Responsibilities

• Lead complex, enterprise-wide analytical initiatives that translate data into actionable strategies, measurable outcomes, and business value.
• Apply advanced statistical and analytical methods to identify trends, relationships, risks, and opportunities, and translate findings into recommendations for senior leaders and stakeholders.
• Partner with business and technology leaders to define data strategies, analytical roadmaps, KPI frameworks, and measurement plans.
• Develop or guide predictive models, forecasting solutions, machine-learning applications, and AI-assisted insights to improve decision-making and operational performance.
• Design and oversee executive dashboards, reporting solutions, and visualizations that communicate complex information clearly and accurately.
• Provide technical direction for large-scale data integration, data modeling, ETL/ELT pipelines, data warehouses, and lakehouse architectures.
• Establish and promote practices for data quality, governance, metadata management, lineage, auditing, and discrepancy resolution.
• Evaluate emerging technologies and architectural approaches, including generative AI, machine learning, cloud data platforms, and advanced analytics tools, and recommend solutions aligned with business objectives and technical standards.
• Collaborate with business, technology, architecture, governance, and data teams to define requirements, resolve complex challenges, and deliver scalable analytical solutions.
• Establish analytical best practices, guide teams on challenging technical issues, conduct solution reviews, and mentor analytics professionals.
• Present findings, recommendations, risks, and strategic options to senior leaders in a concise, business-focused manner.
• Lead high-impact initiatives and develop innovative analytical strategies and solutions.
• Serve as a mentor and trusted resource for complex analytical, data, and technology issues.

Benefits

• Medical, dental, and vision coverage.
• 401(k) plan.
• Tuition reimbursement program.
• Paid time off and holidays, including at least 23 vacation days each year and 9 company-designated holidays, based on date of hire.
• Paid parental leave.
• Paid caregiver leave.
• Additional sick leave beyond what state and local law require may be available; it is unprotected.
• Adoption reimbursement.
• Short- and long-term disability benefits.
• Life and accidental death insurance.
• Supplemental critical illness, accident, hospital indemnity, and group legal benefit programs.
• Employee Assistance Programs (EAP).
• Employee wellness programs.
• Employee discounts of up to 50% on eligible AT&T mobility plans and accessories, AT&T internet (including fiber where available), and AT&T phone.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal