This role transforms complex data into actionable insights, scalable analytical solutions, and AI-powered capabilities that support executive decision-making, customer growth, retention, and revenue optimization. The ideal candidate combines strong analytical expertise with business acumen and a passion for leveraging emerging technologies to accelerate value creation across the organization.

Typical responsibilities include, but are not limited to:

• Analyze large and complex datasets to identify trends, opportunities, risks, and business drivers.
• Apply advanced analytical techniques, predictive modeling, statistical analysis, and machine learning to solve business challenges.
• Develop and evaluate models that support customer acquisition, retention, pricing, product performance, and revenue growth initiatives.
• Build and maintain analytical datasets, semantic layers, and scalable data assets that support enterprise reporting and advanced analytics.
  

• Develop executive dashboards, KPI frameworks, scorecards, and self-service reporting solutions.
• Create compelling visualizations and data stories that communicate actionable business insights.
• Translate complex analytical findings into recommendations for executives and business partners.
• Partner with stakeholders to define key business questions, success metrics, and analytical strategies.
  

• Drive automation of recurring reporting, analytics, and operational processes to improve efficiency and speed to insight.
• Develop and deploy Generative AI solutions, including AI agents, conversational analytics, Copilot-based solutions, and intelligent workflow automation.
• Leverage emerging AI technologies to improve decision-making, productivity, and analytical capabilities.
• Evaluate and recommend new technologies, tools, and methodologies to advance the organization's analytics and AI maturity.
  

• Lead complex, high-impact analytical initiatives with significant business impact.
• Build strong relationships with business and technology partners across Consumer organizations.
• Mentor team members and foster a culture of innovation, continuous learning, and analytical excellence.
• Influence strategic decisions through data-driven insights and thought leadership.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Engineering, or a related quantitative field.
• 7+ years of experience in advanced analytics, business intelligence, data science, or related disciplines.
• Strong experience with SQL and large-scale data environments.
• Experience developing visualizations using Power BI, Tableau, Palantir, or similar business intelligence platforms.
• Experience presenting complex analyses and recommendations to business and executive audiences.
• Demonstrated ability to lead analytical initiatives and influence business decisions.
  

Analytics & Data Science

• Master's degree in a quantitative discipline.
• Experience with predictive modeling, machine learning, forecasting, optimization, or experimentation.
• Proficiency in Python, R, or similar programming languages.
• Experience with cloud-based analytics platforms including Snowflake, Azure, AWS, Databricks, Synapse, Teradata, or equivalent technologies.
  

Generative AI & Automation

• Experience developing and deploying Generative AI solutions in business environments.
• Experience building AI agents using Microsoft Copilot Studio, Azure AI, or similar platforms.
• Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), agent orchestration, and AI workflow automation.
• Experience integrating structured and unstructured data sources to support AI-powered solutions.
• Demonstrated ability to leverage AI technologies to improve productivity, analytics delivery, and business outcomes.

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

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

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