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Lead Advanced Analytics

Dallas, Texas

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Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

At AT&T, we empower leaders to drive change in a fast evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.

ABOUT THE ROLE

Are you ready to be a driving force behind AT&T's most visible product offerings? Join us in supporting AT&T Wireless subscriber forecasting, where your technical expertise and strategic mindset will propel our growth and commitments forward. We seek a highly technical, data-savvy professional who thrives on transforming repetitive tasks through innovative technology and sees their work's impact in real-time business advancements.

As part of our team, you'll be curious about the competitive landscape and new technologies, adapt swiftly to evolving business needs, and confidently present your analyses. We're looking for a dedicated individual who embodies servant leadership, leading with humility and empowering their team to achieve high accountability.

AT&T WIRELESS IS THE PLACE TO BE. DO YOU WANT IN?


This role is pivotal in developing and presenting forecasts and key insights to our leaders, enabling impactful business decisions. As a leader, you will be instrumental in achieving our business goals, working in a fast-paced environment with executives, and driving strategic initiatives. You should be organized, strategic, detail-oriented and feel comfortable working with executives in a fast-paced environment.

THE PERFECT CANDIDATE

  • Visionary and Analytical: You excel at big-picture thinking, economic returns, and structuring ambiguity into clear deliverables.
  • Confident and Adaptable: You can seamlessly step in for your boss, handle "white space" with ease, and turn industry trends into actionable insights. You can structure ambiguity into deliverables that everyone can understand.
  • Tech-Savvy:You love technology and getting “hands on” to understand new technologies, proof of concepts, and capabilities.
  • Team Player: You work well across teams and multiple stakeholders. People seek you out for your knowledge and insights.
  • Accountable and Driven: Accountability is your middle name. You finish what you start, develop data-informed narratives, and stay ahead of potential challenges.
  • Excellent Communicator: You excel in communication, ensuring clarity in every step and maintaining a strong sense of urgency. You’re a developer of succinct, presentable data-informed narratives, and you’re always a step ahead—formulating answers to solve problems we can’t yet see on the horizon. Communication is a strong suit for you, and you don’t leave people guessing about the next step. You have a strong sense of urgency.  On day one, you’ll be ready to galvanize our work. Your old boss will be devastated when you leave.

KEY PROJECTS AND RESPONSIBILITIES:

  • Develop and Update Wireless Forecasts:
    • Lead the development, implementation, and continuous improvement of forecasting models.
    • Utilize advanced statistical and machine learning techniques for accurate predictive models.
    • Provide insights into trends impacting results versus budget and forecast.
    • Collaborate with cross-functional teams to gather data requirements and ensure data integration.
    • Present forecasts and key findings to partners and leaders
  • Transform Excel-Based Processes:
    • Conduct thorough analysis of current processes to identify inefficiencies.
    • Develop automation strategies using scripting, macros, and other tools.
    • Implement tools like RPA, Python, and SQL to streamline workflows.
    • Integrate automated processes with advanced analytics platforms for real-time insights.
    • Train team members on new automated solutions and develop best practices.
  • Data Management and Quality Assurance:
    • Ensure data integrity, accuracy, and consistency in forecasting models.
    • Implement robust data validation and quality assurance protocols.
    • Stay updated on industry trends and emerging technologies.
    • Proactively identify opportunities for innovation in forecasting and data management.

PREFERRED QUALIFICATIONS:

  • Degree in business, marketing, strategy, or quantitative field. A Master's or Ph.D. in Data Science, Statistics or a related field is highly desirable.
  • 8-10+ years of experience in business, marketing or finance with a proven track record in managing complex data projects and teams.
  • Strong knowledge and hands-on experience with machine learning algorithms, neural networks, and AI techniques.
  • Familiarity with Snowflake, Python, Tableau, and PowerBI. Knowledge of TensorFlow or PyTorch is a plus.
  • Experience in developing and managing forecasting models, including time series analysis and regression models.
  • Proficiency in Excel, including advanced functions, pivot tables, and VBA scripting.
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and model building.
  • Strong analytical skills to identify trends and develop actionable insights.
  • Creative problem-solving abilities with a keen understanding of marketplace and consumer dynamics.
  • Excellent strategic skills for driving data-driven approaches and constructing leadership reviews.
  • Exceptional verbal and written communication skills for presenting complex data insights to non-technical stakeholders.
  • Proven leadership and team management experience to guide and mentor junior team members.
  • Strong presentation skills, with the ability to articulate strategy concisely and effectively.

Job Contribution: An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge. Leads significant projects with strategic autonomy, influencing executive decisions. Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership.

Education/Experience: 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. 5+ years of related experience. Certification is required in some areas.

Supervisor: No

Our Lead Advanced Analytics earns between $130,700 - $196,100 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

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility. 

Ready to join our team?

Apply today!

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$130,700.00 - $196,100.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.



Job ID R-82172 Date posted 09/12/2025
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Benefits

Invested in your satisfaction and continued success.

We take care of our own here (hint: that could be you). Our benefits and rewards mean we cover some of your biggest needs with some of the coolest offerings. We already think we’re a pretty great place to work. We’re just trying to rack up some bonus points.

Let’s start with the big one: Your work gets rewarded with competitive compensation and benefits. It really does pay to be on our team.

Compensation

Paid Time Off

Our people have class. Literally. We can help you out on approved education costs with our tuition assistance plan.

Tuition
Assistance

Here’s another reason to breathe easy: You and your family get access to excellent medical, dental and vision insurance options.

Insurance Options

Wanna make your friends really jealous? You’ll get discounted access to the latest and greatest AT&T products and services — plus other awesome items, like tickets to live events.

Discounts

You strike us as an over-achiever (don’t worry, it’s a compliment). Our training and development programs are your ticket to expert status in your job.

Training & Development

When the day comes that you get some much needed R&R (not that you’d ever want to leave #LifeAtATT) you’ll know your future is set with the AT&T Retirement Savings Plan (ARSP).

Savings

The Hiring Process

Step 1

Complete a quick application online and check your status often.

Step 2

Virtual or in-person
Interviews

Dress professionally and ensure good WiFi interviewing virtually.

Step 3

Conditional
Job Offer

After a background check, you're part of the team.

Step 4

Welcome! Onboarding
and Training Begins

Our training and certification programs set you up for success.

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