Principal Data Analysis

AT&T • Alpharetta, GA

3d • $128,400 - $215,800 • 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. This role provides technical and thought leadership across advanced analytics, business intelligence, data management, governance, and emerging AI capabilities. As a strategic advisor and recognized subject matter expert (SME), the Principal Data Analyst contributes to enterprise data strategy, leads business-critical initiatives, mentors analytics professionals, and advises senior leaders on complex decisions. This individual applies modern technologies—including cloud data platforms, predictive analytics, machine learning, and AI-assisted solutions—to solve complex business challenges and advance the organization’s analytical capabilities. Experience with Databricks and/or Snowflake is highly desirable.

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
• 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

Nice To Haves

• 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. Translate findings into clear recommendations for senior leaders and other stakeholders.
• Partner with business and technology leaders to define data strategies, analytical roadmaps, key performance indicator frameworks, and measurement plans.
• Develop or guide the implementation of predictive models, forecasting solutions, machine-learning applications, and AI-assisted insights that improve decision-making and operational performance.
• Design and oversee executive dashboards, reporting solutions, and visualizations that communicate complex information clearly, accurately, and persuasively.
• 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 across platforms and data domains.
• 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.
• Collaborate with business, technology, architecture, governance, and data teams to define requirements, resolve complex challenges, and deliver scalable analytical solutions.
• Establish analytical best practices, provide guidance on challenging technical issues, conduct solution reviews, and mentor analytics professionals.
• Present findings, recommendations, risks, and strategic options to senior leaders in a concise and business-focused manner.

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

What This Job Offers

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