Analyst 2, Data Analytics & Business Intelligence

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

This job works closely with stakeholders to define data needs, develop models, and extract actionable insights for informed decision-making. It leverages advanced analytics and big data platforms to predict trends and measure business performance. The role also upholds data governance standards to ensure quality and compliance in analytics.

Job Description

This position is an in-office role 4 days a week and 1 day remote.

Responsibilities:

AI-Driven Forecasting & Planning

• Lead the development and implementation of AI-enabled forecasting solutions.
• Apply machine learning, predictive analytics, and scenario modeling to improve forecast accuracy and business planning.
• Design and maintain rolling forecast frameworks that automatically incorporate changing business conditions.
• Drive automation of forecast updates, assumptions management, variance analysis, and reporting.

Budget & Financial Performance Optimization

• Modernize budget development and forecasting processes through automation and AI.
• Develop intelligent models that identify risks, opportunities, and performance drivers.
• Create automated budget allocation and investment optimization frameworks.
• Support long-range planning through advanced business and financial modeling.
• Improve planning cycle speed while enhancing transparency and accountability.

Performance Management Transformation

• Build AI-driven performance management capabilities that identify trends, opportunities, and operational risks.
• Create automated scorecard generation and target-setting processes.
• Develop predictive performance indicators to proactively identify areas requiring intervention.
• Leverage AI to generate actionable insights, coaching recommendations, and operational guidance.
• Design frameworks that connect operational metrics, incentive programs, and financial outcomes.

Process Automation & Efficiency

• Evaluate and redesign complex business processes to eliminate manual activities.
• Deploy AI agents, workflow automation, and self-service analytics solutions.
• Reduce cycle times for forecasting, budgeting, reporting, and business reviews.
• Standardize tools, methodologies, and operating procedures.
• Establish measurable efficiency targets and track realized value.

Advanced Analytics & Modeling

• Develop predictive, prescriptive, and scenario-based models to support strategic decisions.
• Create simulations and sensitivity analyses to evaluate business opportunities and risks.
• Translate complex analytics into executive-ready recommendations.

  Strategic Leadership

• Partner with Finance, Operations, Technology, and Executive Leadership to identify high-value AI opportunities.
• Collaborating with business leaders to discern data requirements and crafting technical specifications for analytics
• Evaluating data relevance, sourcing alternatives, and ensuring robust analytics for stakeholder inquiries
• Employing self-service tools to analyze complex datasets, extracting actionable business insights
• Querying diverse big data platforms, including Teradata, SQL Server, Hadoop, and AWS, for comprehensive analysis
• Merging datasets from varied sources to support thorough business analysis
• Conducting exploratory data analysis, hypothesis testing, and pinpointing key business drivers
• Developing predictive models for sales, demand, and other vital business metrics
• Assessing campaign outcomes, measuring effectiveness, and pinpointing enhancement opportunities
• Ensuring compliance with data governance policies and standards across analytics practices
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
• Other duties and re