Lead BI Analyst: Actionable Insights & Strategy

Comcast Corporation

Philadelphia (Philadelphia County)

Hybrid

USD 86,000 - 159,000

Full time

4 days ago
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Benefits offered by this job

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Job summary

Comcast is seeking a Lead Data Analyst, Business Intelligence to drive analytics and BI work, translating strategic needs into technical specs and insights. This hybrid role offices in Philadelphia, PA or Irvine, CA, with 4 days in-office and 1 day remote.

You will lead cross-functional analytics, develop forecasting and predictive models, and mentor analysts while collaborating with engineering and data science teams to improve data infrastructure and ensure data-driven decisions across the

Qualifications

  • Bachelor’s degree required; 7–10 years of relevant experience.
  • Strong focus on actionable insights and business insights.
  • Advanced data analysis experience required.
  • Experience with Google BigQuery and data visualization/presentations.
  • Ability to communicate findings through presentations to executives.

Responsibilities

  • Lead analytics initiatives across stakeholders to translate needs into technical specs.
  • Develop and optimize dashboards and reporting solutions for scalability and accuracy.
  • Collaborate with data engineering, IT, and data science teams to improve data infrastructure.
  • Perform advanced analyses to uncover actionable business insights and inform decisions.
  • Present insights to executives and drive data-driven decision-making.

Skills

Actionable insights
Business insights
Advanced data analysis
Presentations
Leadership

Education

Bachelor’s Degree

Tools

Teradata
SQL Server
Hadoop
AWS
Google BigQuery

Job description

Comcast is seeking a Lead Data Analyst, Business Intelligence to drive analytics and BI work, translating strategic needs into technical specs and insights. This hybrid role offices in Philadelphia, PA or Irvine, CA, with 4 days in-office and 1 day remote.

You will lead cross-functional analytics, develop forecasting and predictive models, and mentor analysts while collaborating with engineering and data science teams to improve data infrastructure and ensure data-driven decisions across the

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