Lead Data Analysis

AT&T•Dallas, TX

20h•Onsite

About The Position

As a trusted analytics lead, this experienced professional transforms complex datasets into compelling stories and actionable recommendations that influence strategy, customer experience, and business performance. The role uses advanced analytics, visualization platforms, and AI-enabled tools to accelerate insight generation, root-cause analysis, anomaly detection, data validation, and executive decision-making. It combines deep analytical expertise, business acumen, and emerging AI capabilities to address high-impact customer and operational challenges. The position owns performance measurement and reporting for Billing & Payments experiences across digital and assisted channels, develops measurement frameworks and scorecards, and analyzes customer journeys to identify friction, opportunities, and trends. It conducts deep-dive analyses, translates findings into executive-ready recommendations, and partners with stakeholders on business cases, prioritization, and program measurement. The role also applies AI and machine-learning tools to improve analytics and decision support; builds dashboards, visualizations, presentations, and automated reporting; promotes self-service analytics; and ensures data accuracy and integrity across platforms. It works with Product, Customer Experience, Digital, Operations, Finance, and Technology teams, leads large-scale analytical initiatives, and mentors analysts. The position works with significant autonomy and serves as a subject matter expert and trusted advisor to senior leaders. This is a full-time onsite role performed at the designated work location five days per week. No relocation is offered. The listed locations are Atlanta, Georgia, and Dallas, Texas. The role is regular, with 40 weekly hours.

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Data Science, Engineering, Information Systems, or a related field.
At least 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 several of the following: 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.

Responsibilities

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.
Use 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 capabilities.
Ensure data accuracy, consistency, and reliability across platforms and repositories.
Identify and resolve data discrepancies and implement controls and monitoring processes to maintain data integrity.
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 to solve business challenges.
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.
Serve as a trusted advisor to senior leadership on customer experience performance, business opportunities, and analytical strategy.

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 may be available beyond what state and local law require; it is unprotected.
Adoption reimbursement.
Short-term and long-term disability benefits.
Life and accidental death insurance.
Supplemental benefit programs, including critical illness, accident, hospital indemnity, and group legal coverage.
Employee Assistance Programs (EAP).
Employee wellness programs.
Employee discounts of up to 50% on eligible AT&T mobility plans and accessories, AT&T internet and fiber where available, and AT&T phone.