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AT&T

Lead Data Analyst

AT&T

. Own performance measurement and reporting for Billing & Payments experiences across digital and assisted channels .

Posted 10/26/2026full-timeDallas • Texas • United StatesSenior💰 $116,700 - $196,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics and business intelligence, leveraging AI and machine learning tools to enhance decision-making and operational efficiency. Proficient in developing measurement frameworks and presenting insights to executive leadership to drive strategic business outcomes.

Highest-signal resume keywords
AnalyticsAI-Enabled ToolsSQLData VisualizationCustomer Journey Optimization

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ScienceStatistical ModelingPredictive AnalyticsCustomer AnalyticsBusiness IntelligenceKPI DevelopmentPerformance MeasurementData Quality AssuranceAutomated ReportingDashboard Development
Soft Skills
MentoringCollaborationCommunicationStrategic ThinkingProblem Solving
Tools & Technologies
Power BIAdobe AnalyticsAdobe Customer Journey AnalyticsSnowflakeDatabricksPythonAI ToolsCloud-Based Analytics
Industry Keywords
Digital Customer ExperiencesOmnichannel AnalyticsCustomer Experience TransformationData EngineeringExecutive Presentations

Tech Stack

Tools & technologies
CloudPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Own performance measurement and reporting for Billing & Payments experiences across digital and assisted channels
  • Develop measurement frameworks, KPIs, and scorecards to monitor customer engagement, operational efficiency, and business outcomes
  • Analyze customer journeys to identify friction points, drop-offs, opportunities, and emerging trends
  • Conduct deep-dive analyses to uncover root causes, quantify opportunities, and support strategic business decisions
  • Translate complex analytical findings into concise, executive-ready recommendations
  • Partner with cross-functional stakeholders to evaluate business cases, support prioritization decisions, and measure program success
  • Leverage AI and machine learning tools for insight generation, anomaly detection, forecasting, data validation, and pattern recognition
  • Apply AI-enabled solutions to summarize trends, automate quality checks, improve analytical efficiency, and enhance decision support
  • Evaluate emerging analytics and AI capabilities to improve analytical processes and business impact
  • Create dashboards, visualizations, and executive presentations that communicate clear business outcomes
  • Develop automated reporting solutions and drive adoption of self-service analytics
  • Ensure data accuracy, consistency, and reliability across platforms and repositories
  • Identify and resolve data discrepancies while implementing controls and monitoring processes
  • Collaborate with technology and data engineering teams to improve data quality, availability, and accessibility
  • Partner with Product, Customer Experience, Digital, Operations, Finance, and Technology teams
  • Lead large-scale analytical initiatives supporting customer experience transformation and business performance improvement
  • Mentor analysts and foster best practices in analytics, visualization, and AI-driven decision-making
  • Lead strategic initiatives with significant autonomy, influence executive decisions, and drive measurable business outcomes
  • Serve as a trusted advisor to senior leadership and cross-functional teams on customer experience performance, business opportunities, and analytical strategy

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Data Science, Engineering, Information Systems, or a related field
  • 5+ years of experience in analytics, business intelligence, customer analytics, data science, or related fields
  • Experience supporting digital customer experiences, customer journey optimization, or omnichannel analytics
  • Demonstrated success presenting complex analytical insights to executive audiences
  • Experience leveraging AI-enabled tools to improve decision-making and analytical efficiency
  • Experience with large enterprise datasets and cloud-based analytics environments
  • Experience with SQL, Power BI, Adobe Analytics, Adobe Customer Journey Analytics (CJA), Snowflake, Databricks, Python, statistical modeling and predictive analytics, generative AI and AI-enabled analytical tools, data visualization and dashboard development, customer journey analytics, and large-scale data environments

Benefits

Comp & perks
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (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
  • 40-hour work week