Lead Data Analyst, Business Intelligence-Xumo

Xumo, a joint venture between Comcast and Charter Communications, was formed to develop and offer a next-generation streaming platform for the entire entertainment industry. The company consists of three primary lines of business: Xumo devices, Xumo Play, and Xumo Enterprise. Powered by Comcast’s global entertainment platform, Xumo devices feature a world-class user interface with universal voice search capabilities, making it easy for consumers to find and enjoy their favorite streaming content. Xumo Play is a free ad-supported streaming TV (FAST) service offering hundreds of linear channels and on-demand options. Xumo Enterprise provides tools and services for content creators, distributors, and advertisers to make FAST content more accessible. Job Summary This role leads advanced data analytics and business intelligence initiatives, partnering with business leaders and stakeholders to identify strategic analytics needs and translate them into actionable technical requirements. It involves leading complex, cross-functional analytical projects, integrating large datasets from multiple sources, and applying advanced analytical techniques to uncover key business drivers, develop predictive models, and deliver actionable insights that influence business strategy and decision-making. The position provides technical leadership in the design, development, and optimization of internal and external dashboards and reporting solutions, ensuring data accuracy, scalability, and alignment with business objectives. Additionally, the role mentors analysts, establishes analytical best practices, and collaborates with cross-functional teams to continuously enhance analytics capabilities and drive data-driven business outcomes. Job Description Additional Position Info • This role will lead analytics initiatives and work closely with business stakeholders to design, develop, and maintain internal dashboards and reports based on business needs. • Lead the development and ongoing enhancement of external customer reports and dashboards, ensuring accuracy, scalability, and consistency. • Provide technical guidance and mentorship to analysts, promoting analytical best practices and knowledge sharing. • Position is office based in Philadelphia, PA or Irvine, CA— 4 days/week in office and 1 day remote. Responsibilities: • Leads engagements with business leaders and stakeholders to identify strategic analytics needs, define project scope, prioritize requirements, and translate business objectives into actionable technical specifications. • Leads complex, cross-functional analytics initiatives from requirements gathering through analysis, validation, and delivery, ensuring high-quality solutions that address business needs. • Identifies and evaluates relevant data sources and recommends alternative data solutions to ensure comprehensive, accurate, and reliable analytics. • Performs advanced analysis of large, complex datasets to uncover actionable business insights, identify performance drivers, and support strategic decision-making. • Queries, integrates, and analyzes data across disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS, optimizing data processes and analytical workflows for efficiency and scalability. • Leads exploratory data analysis, hypothesis testing, and advanced analytical modeling to identify trends, evaluate business opportunities, and provide strategic recommendations. • Develops and enhances forecasting and predictive models to anticipate sales, demand, customer behavior, and other key business metrics. • Leads the evaluation of campaigns, offers, and business initiatives to measure effectiveness, quantify business impact, and recommend opportunities for optimization. • Leads the design, development, and optimization of internal and external dashboards and reporting solutions, ensuring scalability, data accuracy, consistency, and alignment with stakeholder needs. • Establishes and promotes best practices for data analysis, reporting, metric definitions, validation, and quality assurance to ensure consistency and reliability across analytics deliverables. • Collaborates with data engineering, IT, and data science teams to improve data infrastructure, enhance data accessibility, and support the development of scalable business intelligence solutions. • Synthesizes complex analytical findings into clear, actionable recommendations and communicates insights through narrative-driven presentations and effective data visualizations to Company executives and decision-makers. • Serves as a subject matter expert and trusted analytics advisor, providing technical expertise and strategic guidance to stakeholders and cross-functional partners. • Provides technical leadership and mentorship to analysts, reviewing analytical methodologies and deliverables, guiding problem-solving approaches, and promoting knowledge sharing and professional development. • Drives continuous improvement in analytics processes, tools, and methodologies, identifying opportunities to automate reporting, improve operational efficiency, and expand self-service analytics capabilities. • Promotes and evangelizes a culture of analytical excellence, data-driven decision-making, healthy skepticism, intellectual curiosity, collaboration, and accountability. • Stays current with emerging trends in analytics, statistics, machine learning, and business intelligence, evaluating and applying relevant technologies and methodologies to business challenges. • Consistent exercise of independent judgment and discretion in matters of significance. • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. • Other duties and responsibilities as assigned. Employees at all levels are expected to: • Understand our Operating Principles; make them the guidelines for how you do your job. • Own the customer experience think and act in ways that put our custome