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Analyst, Enterprise BI & AI/ML Engineering

Comcast

Salary not specified
Dec 3, 2025
Philadelphia, PA, US
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Comcast is looking to leverage data to understand trends, optimize business processes, predict outcomes, and inform business strategy through advanced analytics and modeling.

Requirements

  • Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
  • Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools.
  • Combines data as needed from disparate data sources to complete analysis.
  • Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing.
  • Develops forecasting models to predict sales, demand and other key business metrics.
  • Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement.
  • Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges.

Responsibilities

  • Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements.
  • Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed.
  • Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools.
  • Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
  • Combines data as needed from disparate data sources to complete analysis.
  • Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing.
  • Develops forecasting models to predict sales, demand and other key business metrics.

Other

  • Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources.
  • Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes.
  • Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers.
  • Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork.
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.
  • 2-5 Years Relevant Work Experience