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About the Role

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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• Partner with Finance, Operations, Technology, and Executive Leadership to identify high-value AI opportunities.
• Collaborate with business leaders to discern data requirements and craft technical specifications for analytics.
• Evaluate data relevance, sourcing alternatives, and ensure robust analytics for stakeholder inquiries.
• Employ self-service tools to analyze complex datasets, extracting actionable business insights.
• Query diverse big data platforms, including Teradata, SQL Server, Hadoop, and AWS, for comprehensive analysis.
• Merge datasets from varied sources to support thorough business analysis.
• Conduct exploratory data analysis, hypothesis testing, and pinpoint key business drivers.
• Develop predictive models for sales, demand, and other vital business metrics.
• Assess campaign outcomes, measure effectiveness, and pinpoint enhancement opportunities.
• Ensure compliance with data governance policies and standards across analytics practices.
• Exercise independent judgment and discretion in matters of significance.
• Maintain consistent, punctual attendance.
• Work nights and weekends, variable schedule(s) as necessary.
• Perform other duties and responsibilities as assigned.
• Understand and apply Operating Principles.
• Own the customer experience, prioritizing seamless digital options and customer advocacy.
• Be an enthusiastic learner, user, and advocate of company technology, products, and services.
• Win as a team by collaborating and being open to new ideas.
• Participate in the Net Promoter System to incorporate customer feedback.
• Drive results and growth.
• Support a culture of inclusion in work and leadership.
• Do what's right for employees, customers, investors, and communities.

Requirements

• 2-5 Years of Relevant Work Experience

Skills

• Actionable Insights
• Analytics
• Business Operations
• Data Forecasting

Location

• Colorado
• Illinois
• Minnesota

Work Type

• In-office 4 days a week
• Remote 1 day a week

Experience Level

• 2-5 Years

Education Level

• Bachelor's Degree

Salary/Compensations

• $66,115.55 - $109,090.66

Benefits

• Best-in-class Benefits
• Options, expert guidance, and tools personalized to support physical, financial, and emotional well-being.

About the Company

• Comcast brings together the best in media and technology.
• Drives innovation to create the world's best entertainment and online experiences.
• A Fortune 50 leader setting the pace in innovative businesses.
• Offers career opportunities across a wide range of locations and disciplines.
• At the forefront of change, moving at an amazing pace.
• Remarkable people bring cutting-edge products and services to life for millions of customers daily.
• Values passion for teamwork, vision to revolutionize industries, and the goal to lead the future in media and technology.

Equal Opportunity

• Comcast is an equal opportunity workplace.
• Will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.