Sr. Analyst, Enterprise Analytics

Blueface Ltd; Philadelphia (Philadelphia County); On-site; USD 100,000 - 150,000; Full time

Job summary

Comcast is seeking a Senior Analyst, Enterprise Analytics to extract insights from complex datasets and develop predictive models that guide business decisions. The role involves collaborating with cross-functional teams, refining algorithms, and building robust data pipelines for enterprise-wide data integration.

The ideal candidate has 5-7 years of experience, a strong background in analytics and data science, and a Master's degree.

Qualifications

• 5-7 years of relevant work experience.
• Experience with predictive modeling and data science techniques.
• Strong analytical and problem-solving skills.

Responsibilities

• Collaborate with cross-functional teams to define data-driven questions and experiments.
• Develop and refine predictive models and analytics solutions to improve business performance.
• Architect data pipelines and analytics processes from multiple sources for robust data integration.

Skills

Analytics

Data Science

Forecasting

Business

Education

Master's degree

Job description

## Sr. Analyst, Enterprise AnalyticsApplylocations: PA - Philadelphia, 1701 John F Kennedy Blvdtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 21, 2026 (6 days left to apply)job requisition id: R442334Comcast 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**This job involves extracting insights from complex, high-dimensional data using advanced data science techniques. It requires developing predictive models and analytical solutions to boost business performance. The role is key for driving data-informed business strategies and decisions.**Job Description****Responsibilities:*** Collaborating with cross-functional teams to define data-driven questions and conduct experiments for product and service enhancements* Engineering and refining algorithms, software, and automated processes for robust data integration and cleansing from multiple sources* Utilizing statistical rigor and advanced data science methods to analyze large datasets, deriving insights through predictive models and machine learning* Developing statistical and mathematical solutions to complex business problems, contributing to broader initiatives with minimal supervision* Architecting data mining models and protocols to discern trends within extensive, intricate datasets, enhancing customer and product insights* Deploying predictive analytics based on historical data to anticipate customer behavior and support strategic business decisions* Synthesizing forecasts and strategic recommendations by applying data science to business data for impactful project support* Advancing business decision-making by researching and applying novel data science principles and emerging analytical techniques* 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.This position does not offer visa sponsorship. Candidates must be eligible to work in the United States without the need for visa sponsorship, currently or in the future, to be considered for this role.**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.#EBICareers**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, Business, Data Science, ForecastingWe 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 benefits summary on our careers site for more details.**Education**Master's DegreeWhile 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**5-7 YearsComcast 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.