Sr. Analyst, Enterprise Analytics

Comcast; Atlanta (GA); On-site; USD 90,000 - 150,000; Full time

Job summary

Comcast seeks a data scientist to extract insights from complex, high-dimensional data, develop predictive models, and drive data-informed business strategies across products and services.

You will collaborate with cross-functional teams, engineer algorithms for data integration, apply statistical methods to large datasets, and deploy analytics that shape strategic decisions. A Bachelor's degree is required with 5–7 years of relevant experience; visa sponsorship is not offered.

Qualifications

• Bachelor's degree required or equivalent combination of coursework and experience.
• 5–7 years of relevant work experience.
• Strong skills in predictive analytics and statistical modeling.
• Experience with cross-functional collaboration.

Responsibilities

• Collaborate with cross-functional teams to define data-driven questions and experiments.
• Engineer algorithms and automated processes for data integration and cleansing.
• Apply statistical methods to analyze large datasets and develop predictive models.
• Develop solutions to complex business problems contributing to broader initiatives.
• Architect data mining models to derive insights about customers and products.
• Deploy analytics to anticipate customer behavior and support strategic decisions.
• Synthesize forecasts and strategic recommendations using data science.

Skills

Analytical Solutions

Business Decisions

Predictive Analytics

Education

Bachelor's Degree

Job description

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.

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.

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.

Skills:

Analytical Solutions; Business Decisions; Predictive Analytics

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.

Relevant Work Experience

5-7 Years