Lead Data Analysis

AT&T; United States; Presencial; USD 117.000 - 196.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Paid Parental Leave

Paid Caregiver Leave

Disability Benefits

Life and AD&D Insurance

Employee wellness programs

Discounts on AT&T mobility plans

Descripción de la vacante

AT&T is seeking an analytics lead to transform complex datasets into strategic insights, guiding omnichannel analytics, advanced analytics, and AI-enabled decision support. You will develop dashboards and executive-level reports to drive customer experience improvements and business performance.

You will collaborate with Product, CX, Digital, Operations, Finance, and Technology, mentor analysts, and champion data quality and governance.

Formación

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Data Science, Engineering, Information Systems, or a related field.
• 5+ years of analytics, BI, customer analytics, data science, or related fields.
• Experience supporting digital customer experiences and omnichannel analytics.
• Proven ability to present insights to executives.
• Experience leveraging AI-enabled tools to improve decision-making.

Responsabilidades

• Own performance measurement and reporting for Billing & Payments across digital and assisted channels.
• Develop measurement frameworks, KPIs, and scorecards to monitor engagement, efficiency and outcomes.
• Analyze customer journeys to identify friction, drop-offs, opportunities, and trends.
• Conduct deep-dive analyses to uncover root causes and opportunities.
• Translate findings into concise, executive-ready recommendations.
• Partner with stakeholders to evaluate business cases and measure program success.
• Leverage AI to accelerate insight generation, anomaly detection, forecasting, validation, and pattern recognition.
• Create dashboards, visualizations, and executive presentations; drive self-service analytics adoption.
• Ensure data quality, governance, and consistency across platforms.
• Collaborate with tech and data teams to improve data quality and accessibility.
• Lead cross-functional initiatives; mentor analysts and promote best practices in analytics.

Conocimientos

SQL

Power BI

Adobe Analytics

Adobe CJA

Snowflake

Databricks

Python

Statistical modeling

Generative AI

AI-enabled analytics

Data visualization

Customer journey analytics

Large-scale data environments

Educación

Bachelor's degree in related field

Herramientas

Snowflake

Databricks

Descripción del empleo

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.

Overall Purpose

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.

Key Roles and Responsibilities

Typical responsibilities include, but are not limited to:

Omnichannel Analytics & Performance Measurement

• 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.

Advanced Analytics & Business Insights

• 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.

AI-Enabled Analytics & Decision Support

• 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.

Data Visualization & Storytelling

• 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.

Data Quality & Governance

• 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.

Cross-Functional Leadership

• 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.

Technical Skills & Tools

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

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Data Science, Engineering, Information Systems, or a related field.

Experience

• 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.

Job Contribution

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.

Supervisor: No
Our Lead Data Analysis jobs earn between $116,700.00 - $196,100.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
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

Weekly Hours

40

Time Type

Regular

Location

Atlanta, Georgia, Dallas, Texas

Salary Range

$116,700.00 - $196,100.00

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, and 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.