Lead Advanced Analytics

AT&TDallas, TX
4hOnsite

About The Position

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.

Requirements

  • 5+ years of related experience.
  • 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.
  • 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.
  • 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.

Nice To Haves

  • Degree in business, marketing, strategy, or quantitative field.
  • A Master's or Ph.D. in Data Science, Statistics or a related field is highly desired.
  • 5-10+ 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 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.
  • Strong analytical skills to identify trends and develop actionable insights.
  • Creative problem-solving abilities with a keen understanding of marketplace and consumer dynamics.

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.

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
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