Comcast is seeking a Lead Data Analyst, Business Intelligence to drive advanced analytics and business intelligence work that turns strategic needs into technical specifications and actionable insights. This hybrid role in Philadelphia, PA (or Irvine, CA) combines hands-on analytics with technical leadership, stakeholder partnership, and continuous improvement across dashboards, reporting, and analytics capabilities.
Compensation: USD 85,600 - 158,518 per year.
What you’ll do
- Lead engagements with business leaders and stakeholders to identify strategic analytics needs, define scope, prioritize requirements, and translate business objectives into actionable technical specifications.
- Drive complex, cross-functional analytics initiatives from requirements gathering through analysis, validation, and delivery, ensuring solutions address business needs with high quality.
- Identify and evaluate relevant data sources, recommending alternative data solutions to support comprehensive, accurate, and reliable analytics.
- Perform advanced analysis of large, complex datasets to uncover actionable business insights and identify performance drivers that support strategic decision-making.
- Query, integrate, and analyze data across disparate big data platforms including Teradata, SQL Server, Hadoop, and AWS, optimizing analytical workflows for efficiency and scalability.
- Lead exploratory data analysis, hypothesis testing, and advanced analytical modeling to identify trends, evaluate business opportunities, and provide recommendations.
- Develop and enhance forecasting and predictive models for areas such as sales, demand, customer behavior, and other key business metrics.
- Evaluate campaigns, offers, and business initiatives to measure effectiveness, quantify business impact, and recommend optimization opportunities.
- Design, develop, and optimize internal and external dashboards and reporting solutions, focusing on scalability, data accuracy, consistency, and stakeholder alignment.
- Establish and promote best practices for data analysis, reporting, metric definitions, validation, and quality assurance to ensure consistency and reliability.
- Collaborate with data engineering, IT, and data science teams to improve data infrastructure, enhance data accessibility, and support scalable business intelligence.
- Communicate insights to executives and decision-makers using narrative-driven presentations and effective data visualizations.
- Serve as a subject matter expert and trusted analytics advisor, providing technical guidance and strategic support to stakeholders and partners.
- Provide technical leadership and mentorship to analysts, reviewing methodologies and deliverables and promoting knowledge sharing.
- Drive continuous improvement by identifying opportunities to automate reporting, improve operational efficiency, and expand self-service analytics.
- Promote a culture of analytical excellence with data-driven decision-making, healthy skepticism, intellectual curiosity, collaboration, and accountability.
- Stay current with emerging trends in analytics, statistics, machine learning, and business intelligence, evaluating and applying relevant technologies.
- Use independent judgment and discretion in matters of significance.
- Maintain regular, consistent, and punctual attendance, with ability to work nights and weekends and adapt to variable schedules as needed.
Technologies you’ll work with
- Teradata
- SQL Server
- Hadoop
- AWS
- Google BigQuery
What you bring
- Bachelor’s Degree
- 7-10 years of relevant experience
- Strong focus on actionable insights and business insights
- Advanced data analysis experience
- Experience with Google BigQuery
- Ability to communicate findings through presentations
Benefits
- Most sales positions may be eligible for a Commission under an applicable plan; most non-sales positions may be eligible for a Bonus.
- Comcast provides best-in-class Benefits to eligible employees.
Additional position info: Office based in Philadelphia, PA or Irvine, CA with a 4 days/week in-office and 1 day remote schedule.