Lead Advanced Analytics

AT&T Mobility Services; Dallas (TX); On-site; USD 144,000 - 216,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Job summary

AT&T Mobility Services in Dallas, TX is seeking a Lead Advanced Analytics professional to transform complex workforce data into actionable insights that drive decisions and improve employee experiences. The role sits at the intersection of data, technology, and business strategy, partnering with senior leaders to solve workforce challenges using AI, predictive modeling, and modern analytics.

You will design dashboards, establish KPI frameworks, and mentor colleagues while influencing executives

Qualifications

• 5+ years of related experience.
• Strong SQL proficiency and experience with enterprise-scale data environments.
• Experience developing data visualizations, analytics solutions, and decision-support capabilities using cloud-based analytics platforms such as Power BI, Databricks or similar.
• Excellent written, verbal, presentation, and stakeholder communication skills.

Responsibilities

• Transform workforce and business data into actionable insights.
• Design dashboards, KPI frameworks, and self-service analytics.
• Lead predictive modeling, AI, and forecasting initiatives.
• Partner with HR, finance, and technology stakeholders.
• Translate data into executive-ready narratives and recommendations.

Skills

SQL

Power BI

Databricks

Azure

Python

R

Generative AI

AI-enabled analytics

Predictive modeling

Statistical analysis

Education

Bachelor's degree in a quantitative field

Tools

Power BI

Databricks

Azure

Job description

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.

What you'll do:

The Lead Advanced Analytics professional will be responsible for transforming complex workforce and business data into actionable insights that drive better decisions, improve employee experiences, and strengthen organizational performance. Working at the intersection of data, technology, and business strategy, this individual partners with senior leaders to solve complex workforce challenges using advanced analytics, artificial intelligence, predictive modeling, and modern data solutions. The ideal candidate combines strong technical expertise with business acumen, curiosity, and a passion for innovation. They excel at turning complex data into meaningful stories, influencing decisionmakers, and helping organizations anticipate and respond to future workforce needs.

What you'll need :

Strategic Analytics & Workforce Insights

• Deliver actionable insights across the employee lifecycle, including talent acquisition, onboarding, career development, internal mobility, retention, and workforce planning.
• Identify workforce trends, risks, opportunities, and emerging challenges that impact business performance.
• Translate complex data into practical recommendations for senior leaders.
• Partner with business, HR, finance, and technology stakeholders to solve critical workforce and organizational challenges.
• Develop executive-ready analyses and recommendations that support strategic decision-making.

Analytics Solutions & Decision Support

• Design and enhance dashboards, KPI frameworks, reporting tools, and self-service analytics solutions.
• Establish trusted metrics and measurement approaches that improve decision-making.
• Drive adoption of scalable analytics solutions that provide meaningful visibility into workforce and business outcomes.
• Improve reporting and insight delivery through automation, visualization, and modern analytics practices.
• Continuously enhance the user experience through simplification and innovation.

Advanced Analytics, AI & Innovation

• Apply predictive modeling, machine learning, forecasting, and advanced statistical techniques to solve complex business problems.
• Leverage Generative AI, intelligent agents, and AI-enabled analytics to improve insight generation and decision support.
• Identify opportunities to use AI and automation to increase efficiency and business value.
• Evaluate emerging technologies and analytical techniques to advance organizational capabilities.
• Develop innovative solutions that improve workforce outcomes and business performance.

Data Strategy, Storytelling & Leadership

• Partner with data engineering and technology teams to build scalable, reliable, and governed analytics solutions.
• Transform analytical findings into compelling narratives and clear business recommendations.
• Influence leaders by connecting data-driven insights to business priorities and outcomes.
• Lead cross-functional initiatives and build strong partnerships across multiple functions.
• Mentor colleagues and contribute to the development of analytics capabilities across the organization.

Skills and Experience:

5+ years of related experience. Certification is required in some areas.

Strong SQL proficiency and experience working with enterprise-scale data environments.

Experience developing data visualizations, analytics solutions, and decision-support capabilities using modern cloud-based analytics platforms such as Power BI, Microsoft Fabric, Databricks, or similar technologies.

Excellent written, verbal, presentation, and stakeholder communication skills

Snowflake, Microsoft Fabric, Power BI, Databricks, Azure, Python, R, Generative AI, intelligent agents, AI-enabled analytics, data governance, analytics product management, modern analytics delivery methodologies, Predictive Modeling, Advanced Statistical Analysis

Job Contribution:

An experienced professional, recognized as an expert, who creatively resolves complex issues through broad and in-depth knowledge. Leads significant projects with strategic autonomy, influences executive decisions, mentors less experienced staff, implements long-term plans that affect the organization, and frequently collaborates with senior leadership.

Education:

Bachelor's degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.

Our Lead Advanced Analytics jobs earn between $143,800.00 - $215,800.00 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 (