Principal Advanced Analytics

The Local Market Forecasting & Performance Analytics team is seeking a highly analytical, technically proficient, and AI-centric leader to serve as

• Develop and maintain forecasting models across Wireless, Fiber, and AIA products supporting daily, weekly, monthly, quarterly, and annual planning horizons.
• Build market-level, channel-level, and market-by-channel forecasting models for gross adds, disconnects, and net adds.
• Apply advanced time-series forecasting methodologies, machine learning techniques, and predictive analytics to improve forecast accuracy and responsiveness.
• Develop forecasting frameworks that incorporate seasonality, promotions, pricing changes, marketing activity, competitive dynamics, economic indicators, and operational factors.
• Continuously evaluate and refine model performance using back-testing, error analysis, and model validation techniques.

• Design and implement statistical and machine learning models using Python and related analytical tools.
• Utilize forecasting methodologies including Prophet, ARIMA-type approaches, gradient boosting, ensemble techniques, and other advanced modeling frameworks where appropriate.
• Develop scalable forecasting processes that support multiple products, channels, markets, and planning horizons.
• Identify leading indicators and predictive drivers that improve understanding of future performance.
• Evaluate emerging analytical methodologies and technologies that enhance forecasting accuracy and business insight generation.

• Monitor actual results versus forecast to identify model performance issues, forecast variance drivers, and emerging trends.
• Conduct forecast diagnostics to understand performance changes across products, markets, channels, and customer segments.
• Develop drivers-based waterfall analyses illustrating how individual business factors, opportunities, risks, and strategic actions impact forecasted outcomes.
• Quantify the impact of promotions, pricing changes, marketing initiatives, competitive actions, and operational performance on forecast expectations.
• Develop methodologies to explain forecast changes in a clear and repeatable manner.

• Build automated forecasting pipelines that reduce manual effort and improve forecast consistency.
• Leverage AI-enabled analytics, machine learning, automation, and agentic workflows to improve forecasting processes and accelerate insight generation.
• Develop scalable solutions capable of supporting increasingly granular forecasting needs across markets, channels, and products.
• Partner with data engineering and technology teams to improve forecasting infrastructure, data availability, and model deployment processes.
• Serve as an AI champion by identifying opportunities to automate recurring analytical work and improve forecasting effectiveness.

• Translate complex statistical outputs into executive-ready narratives and recommendations.
• Present forecast results, risks, opportunities, and business implications to senior leaders and cross-functional stakeholders.
• Support leadership reviews with clear explanations of forecast changes, assumptions, and expected outcomes.
• Develop reporting routines that improve visibility into forecast performance, accuracy, and business drivers.
• Partner with leadership teams to ensure forecasts support planning, investment decisions, and operating priorities.

• Experience in forecasting, advanced analytics, data science, business intelligence, economics, statistics, operations research, or related quantitative disciplines.
• Proven experience developing and deploying forecasting models in complex business environments.
• Strong expertise in time-series forecasting, statistical modeling, and predictive analytics.
• Advanced proficiency in Python, SQL, Databricks, Snowflake, and related analytical technologies.
• Experience with Prophet, machine learning frameworks, forecasting methodologies, and model evaluation techniques.
• Strong understanding of forecasting concepts including seasonality, trend analysis, causal modeling, feature engineering, model validation, and forecast accuracy measurement.
• Experience building scalable forecasting solutions across multiple products, channels, markets, or business segments.
• Ability to translate sophisticated analytical findings into clear business implications and actionable insights.
• Strong executive communication and storytelling skills.
• Demonstrated experience leveraging AI, automation, and advanced analytics to improve business outcomes.
• Experience supporting sales, marketing, pricing, forecasting, finance, operations, or go-to-market organizations is highly desirable.
• Strong project management, collaboration, organizational, and leadership skills.
• Ability to thrive in a fast-paced environment while balancing technical rigor, business relevance, and executive responsiveness.

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