Job Description

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

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.

The Comcast Enterprise Business Intelligence (EBI) Enterprise Analytics team is a high-impact analytics team responsible for surfacing insights and recommendations to executive leadership in HQ. Within Enterprise Analytics, the econometrics team uses a variety of statistical, econometric and machine learning approaches to test hypotheses and surface relationships between internal metrics, external factors, and business outcomes.

The Comcast EBI Enterprise Analytics Econometrics team is looking for an analytics leader to build econometric models that inform fundamental business questions about subscriber growth, price elasticity, marketing ROI, and initiative impact. The manager will perform the data preparation, stakeholder partnership, and implementation of models.

Job Description

Core Responsibilities

• Build inference and forecasting models using internal and external datasets
• Evaluate the fit of models and communicate model results to technical and non-technical audiences
• Provide subject matter expertise in economic data and modeling techniques
• Carry out post-event analysis to validate forecast assumptions and identify all additional factors associated with the change
• Demonstrate curiosity in identifying novel approaches to answering the companys most difficult strategic questions
• Core Skills
• Use of Python to create econometric models
• Familiarity with common data science Python packages including, but not limited to: pandas, scikit-learn, NumPy, and statsmodels
• Familiarity with econometric techniques such as time-series analysis, panel regression, limited dependent variables models
• Knowledge and application of machine learning techniques including clustering and gradient boosting
• High proficiency in SQL
• Ability to leverage analytical background to determine the appropriate quantitative research tools and models for a given problem
• Other Competencies
• Big data platform experience a plus (Spark, S3, etc.)
• Ability to grasp complex analytic principles and techniques
• Strong business acumen & demonstrated aptitude for analytics that incite action
• Ability to work effectively across functions, disciplines, and levels
• Work on problems requiring judgment and in-depth evaluation of multiple factors
• Education and Experience
• Minimum: BA/BS degree in economics, mathematics, statistics, computer science
• Preferred: MA/MS degree in a quantitative discipline
• 3+ years relevant work experience in analytic role
• 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.
• Respect and promote inclusion & diversity.
• 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

Analytical Thinking, Data Analysis, Statistical Analysis Techniques

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 realityto 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

Bachelor'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 proud to be 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. #J-18808-Ljbffr

Job Tags

Full time, Work experience placement, Night shift, Weekend work,

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