Job Summary

Job Description

Responsibilities:

• 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.

Qualifications:

• 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.
• Experience applying statistical methods such as regression, hypothesis testing, experimental design, predictive modeling, machine learning, or related techniques to real-world business problems.
• Demonstrated ability to move from an ambiguous business question to a structured analytical approach and meaningful conclusion with minimal supervision.
• Strong communication and data storytelling skills, including the ability to explain complex analytical findings to non-technical audiences and translate findings into business recommendations.
• Experience with Databricks, Power BI, and/or other modern analytics and data visualization platforms preferred.
• Experience working with workforce, people, customer, operational, or other complex business data preferred.
  

#EBICareers

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.

Skills

Compensation

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 on our careers site for more details.

Education

Certifications (if applicable)

Relevant Work Experience