Sr. Manager, Business Intelligence

Requirements

• Must have intermediate to advanced experience with Tableau and PowerBI
• Should have experience in A/B testing or other experimental design and measurement
• Must have experience with DX foundry platform and CB source systems (SFDC, CDP, etc)
• Must have direct people leadership experience for data and business intelligence analysts
• 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

Benefits

Additional Information

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 Responsible for leading team(s) that work cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Manages team(s) that retrieve, analyze and summarize 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 overseeing 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. Develops financial and operational objectives. Ensures operational plans are aligned with business objectives. Contributes to functional strategy development. Has a greater degree of impact on business results and typically manages one or more groups of professional employees. Job Description Core Responsibilities Lead discussions with business leaders and stakeholders to understand data and analysis needs and develop technical requirements. Advise on the relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed. Oversee analyzation of large, complex data to determine actionable business insights using self-service analytics and reporting tools. Team queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS. Team combines data as needed from disparate data sources to complete analysis. Lead identification of key business drivers and insights by conducting exploratory data analysis and hypothesis testing. Oversee development of forecasting models to predict sales, demand and other key business metrics. Review analysis of the results of campaigns, offers or initiatives to measure their effectiveness and identify opportunities for improvement. Review and communicate findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers. Promote and evangelize a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork. Stay current with emerging trends in analytics, statistics, and machine learning and apply 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.

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