Lead Data Analysis

AT&T Mobility Services; Dallas (TX); Presencial; USD 117 000 - 196 000; Tempo integral

Resumo da oferta

AT&T Mobility Services in Dallas, TX, is seeking a trusted analytics lead to transform complex datasets into actionable recommendations that influence strategy, customer experience, and business performance. This is a full-time onsite role based in the location posted and is performed from the designated work location five days per week.

No relocation is offered. You will own omnichannel analytics, advanced analytics, AI-enabled decision support, data visualization, and data governance,

Qualificações

• 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.

Responsabilidades

• Own performance measurement and reporting for Billing & Payments experiences across digital and assisted channels.
• Develop measurement frameworks, KPIs, and scorecards to monitor customer engagement and outcomes.
• Conduct deep-dive analyses to uncover root causes and quantify opportunities for strategic decisions.
• Translate findings into concise, executive-ready recommendations and partner with stakeholders.
• Leverage AI and ML tools to accelerate insight generation, anomaly detection, and forecasting.
• Create dashboards, visualizations, and executive presentations for leadership.
• Ensure data quality and governance across multiple platforms and repositories.
• Collaborate with cross-functional teams to drive analytics-driven decisions.

Conhecimentos

SQL

Power BI

Adobe Analytics

Adobe CJA

Snowflake

Databricks

Python

Predictive analytics

Generative AI

Data visualization

Customer journey analytics

Big data environments

Formação académica

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

Ferramentas

SQL

Power BI

Adobe Analytics

Adobe CJA

Snowflake

Databricks

Python

Predictive analytics

Generative AI

Data visualization

Customer journey analytics

Big data environments

Descrição da oferta de emprego

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 analytics 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 b