Principal Advanced Analytics at ATT
Atlanta, Georgia, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Aug, 25

Salary

0.0

Posted On

08 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Analytical Skills, R, Programming Languages, Time Series Analysis, Strategy, Health Insurance, Communication Skills, Data Manipulation, Finance, Data Science, Statistics, Model Building, Pivot Tables, Snowflake, Python, Neural Networks, Geography, Regression Models

Industry

Information Technology/IT

Description

QUALIFICATIONS:

  • Degree in marketing, strategy, or quantitative field. A Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field is highly desirable.
  • 8-10+ years of experience in 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.
    Our Principal Advanced Analytics earn between $128,400 - $215,800 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Responsibilities

ABOUT THE ROLE

Are you ready to be a driving force behind AT&T’s most visible product offerings? Join us in supporting Converged and AT&T Wireless Rate Plan 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.

KEY PROJECTS AND RESPONSIBILITIES:

  • Develop and Update Converged 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.
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