Sr. Analyst, Enterprise Analytics

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.

This role applies advanced analytics, statistical methods, and data science techniques to solve complex business and workforce questions. The Data Scientist will work with cross-functional partners to translate ambiguous business challenges into structured analytical approaches, uncover meaningful patterns and drivers, and develop predictive, statistical, or machine learning solutions where appropriate. The role requires strong technical capability, independent analytical judgment, and the ability to synthesize complex findings into clear insights and recommendations that influence business decisions.

• Partner with business leaders and cross-functional teams to translate complex business questions into well-defined analytical problems, hypotheses, experiments, and measurement approaches.
• Conduct exploratory and advanced analysis across large, complex datasets to identify patterns, relationships, trends, and key drivers of business outcomes.
• Apply statistical methods, predictive modeling, machine learning, and experimental or quasi-experimental approaches as appropriate to answer business questions and evaluate potential outcomes.
• Develop statistical and mathematical solutions to complex business problems, independently determining appropriate methodologies and analytical approaches with minimal supervision.
• Integrate, transform, and analyze data from multiple sources, using SQL and other analytical tools to create reliable datasets and scalable analytical solutions.
• Develop and evaluate predictive models and other advanced analytical solutions, testing assumptions, assessing limitations, and ensuring findings are supported by appropriate statistical rigor.
• Translate complex analytical findings into clear narratives, visualizations, and actionable recommendations for technical and non-technical audiences, including senior business leaders.
• Identify opportunities where advanced analytics and data science can improve decision-making, measurement, forecasting, or understanding of business and workforce outcomes.
• Research and apply emerging analytical methods and data science techniques where they can meaningfully improve business outcomes.
• Collaborate with analysts, data engineers, reporting teams, and business partners to move analytical work from exploration through implementation and ongoing measurement.
• 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.

• Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 5-7 years of relevant experience in data science, advanced analytics, statistical modeling, or a related field.
• Strong SQL skills required, including experience working with large and complex datasets.
• Proficiency in Python or R for statistical analysis, data manipulation, and modeling.
• Experien…