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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analyst 2, Data Analytics & Business Intelligence - **Company:** Comcast - **Location:** Springfield, IL, United States - **Experience:** Experienced - **Salary:** $66,116.0 - $109,091.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Analysis of Variance (ANOVA), Big Data, Apache Hadoop, Statistical Hypothesis Testing, Machine Learning, Microsoft SQL Server, Teradata SQL - **Published:** July 31, 2026 - **Apply:** https://www.dice.com/job-detail/63d9c4cb-4ce1-4c4e-8d88-dc8b04385d24 ## About the Role Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. ## Description 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 responsibilities as assigned. Employees at all levels are expected to: * Understand our Operating Principles; make them the guidelines for how you do your job. * Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. * Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. * Win as a team make big things happen by working together and being open to new ideas. * Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. * Drive results and growth. * Support a culture of inclusion in how you work and lead. * Do what's right for each other, our customers, investors and our communities. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)