Lead Data Analysis

This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.

As a trusted analytics lead, you will transform complex datasets into compelling stories and actionable recommendations that influence strategy, customer experience, and business performance. You will leverage advanced analytics, visualization platforms, and AI-enabled tools to accelerate insight generation, root-cause analysis, anomaly detection, data validation, and executive decision-making.

This position combines deep analytical expertise, business acumen, and emerging AI capabilities to solve high-impact customer and operational challenges.

Typical responsibilities include, but are not limited to:

• Own performance measurement and reporting for Billing & Payments experiences across digital and assisted channels.
• Develop comprehensive 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 to accelerate insight generation, anomaly detection, forecasting, data validation, and pattern recognition.
• Apply AI-enabled solutions to summarize complex trends, automate quality checks, improve analytical efficiency, and enhance decision support.
• Evaluate emerging analytics and AI capabilities to continuously improve analytical processes and business impact.

• Create compelling dashboards, visualizations, and executive presentations that simplify complex data and communicate clear business outcomes.
• Develop automated reporting solutions that provide actionable insights to business leaders.
• Drive adoption of self-service analytics capabilities across stakeholder groups.

• Ensure accuracy, consistency, and reliability of data across multiple platforms and repositories.
• Identify and resolve data discrepancies while implementing 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 complex 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.

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
• Large-scale data environments

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.

An experienced analytics professional recognized as a subject matter expert who solves highly complex business challenges through data, advanced analytics, and AI-enabled insights.

Works with significant autonomy to lead strategic initiatives, influence executive decisions, and drive measurable business outcomes. Frequently partners with senior leadership and cross-functional teams while serving as a trusted advisor on customer experience performance, business opportunities, and analytical strategy.

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.