Comcast Business offers a suite of Connectivity, Communications, Networking, Cybersecurity, Wireless, and Managed Solutions to help global organizations of all sizes prepare for what’s next. Powered by the nation’s largest Gig-speed broadband network and backed by 24/7 customer support, Comcast Business is the nation’s largest technology provider to small businesses and one of the leading service providers to the Enterprise market. Comcast Business has been consistently recognized by industry analysts and associations as a leader and innovator, and one of the fastest growing providers of Ethernet services. Job Summary Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes. Involved with numerous key business decisions by conducting the analyses that inform our business strategy. This may include: impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends, identification of customer sentiment drivers through natural language processing (NLP) of verbatim responses to Net Promotor System (NPS) surveys and development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity. Acts as a technical expert in own area within the organization. May work independently or as part of a team on more complex projects. Provides mentoring and guidance to more junior team members. May be responsible for leading a team, but does not directly manage people. Job Description Core Responsibilities - Leads discussions with business leaders and stakeholders to understand data and analysis needs and develop technical requirements. - Advises on the relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed. - Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools. - Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS. - Combines data as needed from disparate data sources to complete analysis. - Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing. - Oversees development of forecasting models to predict sales, demand and other key business metrics. - Reviews analyses of the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement. - Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers. - Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork. - Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges. - 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. Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Skills Analytics, Data Analysis, Data Analytics Compensation Primary Location Pay Range: $108,629.97 - $162,944.95 Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education 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. Certifications (if applicable) Relevant Work Experience 10 Years + Comcast is an equal opportunity workplace. We 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.

• Assist with collecting data from various sources, such as databases, spreadsheets and internal systems; • Support database handling, including data cleaning, processing and organization; • Assist in building and updating reports and dashboards to monitor key performance indicators (KPIs); • Conduct exploratory analyses to identify patterns, trends and potential data inconsistencies; • Participate in meetings and discussions to present insights obtained and contribute solutions to identified challenges; • Contribute to the continuous improvement of data analysis processes by suggesting optimizations and automations; • Ensure the quality and reliability of analyzed information.

• Translate complex clinical concepts and workflows into explicit data element mappings across diverse source systems, ensuring semantic accuracy and clinical validity • Design and implement sophisticated SQL queries that conform source data to our Qualified Data Model while preserving clinical meaning and context • Develop, maintain, and execute comprehensive QC checklists and validation frameworks to ensure data integrity across all clinical domains • Work directly with health system data teams, clinical informaticists, and IT departments to understand source schemas, reconcile mapping discrepancies, and optimize data extraction processes • Lead technical discussions with customer teams to resolve data mapping conflicts, standardize terminology, and ensure consistent interpretation of clinical data elements • Create detailed mapping documentation, maintain data dictionaries, and establish standardized approaches for clinical data interpretation across EHR systems • Partner with data engineers, clinical advisors, and product teams to ensure technical implementations align with clinical requirements and regulatory standards • Monitor data quality metrics, identify systematic issues, and recommend process improvements to enhance data accuracy and completeness • Develop training materials and conduct sessions for both internal teams and client organizations on proper data mapping and quality validation techniques

• Requirements gathering, consulting, software development and technical implementation in our client projects related to data, Big Data, Data Analytics, Data Science and Business Intelligence • Modeling and optimization of data architectures and our clients' BI system landscape • Conducting internal and external coaching and training, as well as mentoring for young professionals • Client workshops, reviews and analyses, and where desired, pre-sales activities to acquire and retain clients