Lead Data Analyst, Business Intelligence-Xumo

Comcast Resume • Philadelphia, PA

2d • $85,600 - $158,519 • Hybrid

About The Position

Xumo, a joint venture between Comcast and Charter Communications, develops a next-generation streaming platform and operates Xumo devices, Xumo Play, and Xumo Enterprise. The Lead Data Analyst, Business Intelligence leads advanced analytics and business intelligence initiatives, partnering with business leaders and stakeholders to identify strategic needs and translate business objectives into technical requirements. The role leads complex cross-functional projects, integrates large datasets, applies advanced analytical techniques, develops predictive models, and delivers insights to influence business strategy and decision-making.

The position provides technical leadership for the design, development, and optimization of internal and external dashboards and reporting solutions, with an emphasis on accuracy, scalability, consistency, and stakeholder needs. It also establishes analytical best practices, mentors analysts, and collaborates with data engineering, IT, data science, and business teams to improve analytics capabilities and support data-driven outcomes. The position is office-based in Philadelphia, Pennsylvania, or Irvine, California, with four days per week in the office and one day remote. Nights, weekends, or variable schedules may be required as necessary.

Requirements

• 7–10 years of relevant work experience.
• Bachelor's degree is preferred; Comcast may also consider a combination of coursework and experience or extensive related professional experience.
• Ability to lead analytics engagements, cross-functional projects, and advanced analysis of large datasets.
• Experience querying, integrating, and analyzing data across disparate platforms; examples listed include Teradata, SQL Server, Hadoop, and AWS.
• Ability to perform exploratory data analysis, hypothesis testing, analytical modeling, forecasting, and predictive modeling.
• Ability to develop and optimize dashboards and reporting solutions and establish practices for data accuracy and quality assurance.
• Ability to synthesize and communicate analytical findings through presentations and data visualizations.
• Ability to provide technical leadership and mentorship to analysts.
• Must be able to work nights and weekends and variable schedules as necessary.
• Regular, consistent, and punctual attendance.

Nice To Haves

• Bachelor's degree.
• Skills identified in the posting: Actionable Insights, Business Insights, Data Analysis, Google BigQuery, and Presentations.

Responsibilities

• Lead engagements with business leaders and stakeholders to identify 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 support comprehensive, accurate, reliable analytics.
• Analyze large and complex datasets to uncover business insights, performance drivers, and support strategic decisions.
• Query, integrate, and analyze data across platforms such as 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, evaluate opportunities, and provide recommendations.
• Develop and enhance forecasting and predictive models for sales, demand, customer behavior, and other business metrics.
• Evaluate campaigns, offers, and business initiatives, measure their effectiveness and impact, and recommend optimization opportunities.
• Lead the design, development, and optimization of internal and external dashboards and reporting solutions.
• Establish and promote best practices for analysis, reporting, metric definitions, validation, and quality assurance.
• Collaborate with data engineering, IT, and data science teams to improve infrastructure and data accessibility and support scalable business intelligence solutions.
• Communicate complex findings as actionable recommendations through presentations and data visualizations for executives and decision-makers.
• Serve as a subject matter expert and analytics advisor, providing technical expertise and strategic guidance to stakeholders and cross-functional partners.
• Mentor analysts, review methodologies and deliverables, guide problem-solving, and promote knowledge sharing and professional development.
• Improve analytics processes, tools, and methodologies; identify opportunities to automate reporting, improve efficiency, and expand self-service analytics.
• Promote analytical excellence, data-driven decision-making, healthy skepticism, curiosity, collaboration, and accountability.
• Keep current with analytics, statistics, machine learning, and business intelligence trends, and evaluate relevant technologies and methodologies.
• Exercise independent judgment and discretion in significant matters and maintain regular, consistent, and punctual attendance.
• Perform other duties and responsibilities as assigned.
• Follow the company's Operating Principles, prioritize customer experience, support teamwork and customer feedback practices, drive results and growth, support inclusion, and act responsibly toward colleagues, customers, investors, and communities.

Benefits

• Comcast provides benefits to eligible employees, but specific benefits are not detailed in the posting.
• Most non-sales positions are eligible for a bonus under the terms of an applicable plan.

What This Job Offers

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