Lead Data Analyst, Business Intelligence-Xumo

Comcast • Philadelphia, PA

18h • Hybrid

About The Position

Xumo, a joint venture between Comcast and Charter Communications, develops streaming products and services across devices, free ad-supported streaming television, and enterprise solutions. The Lead Data Analyst, Business Intelligence leads advanced analytics and business intelligence initiatives, partnering with business leaders and stakeholders to identify strategic analytics needs and turn them into technical requirements. The role leads complex, cross-functional projects, integrates large datasets, and applies advanced analysis and modeling to uncover business drivers and deliver insights that inform strategy and decision-making.

The position provides technical leadership in the design, development, and optimization of internal and external dashboards and reporting. It supports data accuracy, scalability, and alignment with business objectives; establishes analytical best practices; mentors analysts; and works with cross-functional teams to improve analytics capabilities. The role is office-based in Philadelphia, Pennsylvania, or Irvine, California, with four days per week in the office and one remote day. The position requires the ability to work nights and weekends on variable schedules as necessary.

Requirements

• 7–10 years of relevant work experience.
• Bachelor's degree preferred; Comcast may also consider a combination of coursework and experience or extensive related professional experience.
• Ability to work nights and weekends on variable schedules as necessary.
• Position requires working in the office four days per week and remotely one day per week in Philadelphia, PA, or Irvine, CA.

Nice To Haves

• Experience with Google BigQuery.
• Skills in actionable insights, business insights, data analysis, and presentations.

Responsibilities

• Engage business leaders and stakeholders to identify strategic analytics needs, define project scope, prioritize requirements, and translate business objectives into technical specifications.
• Lead cross-functional analytics initiatives from requirements gathering through analysis, validation, and delivery.
• Identify and evaluate data sources and recommend alternatives to ensure comprehensive, accurate, and reliable analytics.
• Analyze large, complex datasets to uncover actionable insights, performance drivers, and support strategic decisions.
• Query, integrate, and analyze data across platforms including Teradata, SQL Server, Hadoop, and AWS, optimizing processes and workflows for efficiency and scalability.
• Lead exploratory data analysis, hypothesis testing, and analytical modeling to identify trends, assess business opportunities, and make strategic recommendations.
• Develop and enhance forecasting and predictive models for sales, demand, customer behavior, and other business metrics.
• Evaluate campaigns, offers, and business initiatives to measure effectiveness and impact and recommend optimization opportunities.
• Lead the design, development, and optimization of internal and external dashboards and reports, ensuring scalability, accuracy, consistency, and alignment with stakeholder needs.
• Establish and promote best practices for data analysis, reporting, metric definitions, validation, and quality assurance.
• Collaborate with data engineering, IT, and data science teams to improve data infrastructure and accessibility and support scalable business intelligence solutions.
• Communicate complex findings as actionable recommendations through narrative-driven presentations and data visualizations for executives and decision-makers.
• Serve as a subject matter expert and trusted analytics advisor to stakeholders and cross-functional partners.
• Provide technical leadership and mentorship to analysts, review methodologies and deliverables, guide problem-solving, and promote knowledge sharing and professional development.
• Improve analytics processes, tools, and methodologies, including opportunities to automate reporting, improve efficiency, and expand self-service analytics.
• Promote analytical excellence, data-driven decision-making, healthy skepticism, intellectual curiosity, collaboration, and accountability.
• Stay current with analytics, statistics, machine learning, and business intelligence trends, evaluating and applying relevant technologies and methods.
• Exercise independent judgment and discretion; maintain regular, consistent, and punctual attendance; and perform other duties as assigned.
• Follow the company's Operating Principles, prioritize customer experience, contribute to the Net Promoter System, drive results and growth, support inclusion, and act responsibly toward colleagues, customers, investors, and communities.

Benefits

• Eligible employees receive a range of benefits intended to support physical, financial, and emotional well-being.
• Most non-sales positions are eligible for a bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior