Lead Analyst, Analytics and Insights

Responsibilities

• Manage your analytical projects from beginning to end.
• This includes looking at how platforms perform, how users engage with content, what devices they use, their behavior, and video advertising metrics.
• You will define the projects, gather data, provide insights, and present your findings to stakeholders.
• Lead the development and continuous improvement of recurring insights reports and analytical frameworks, setting the standard for rigor and methodology across the team.
• Independently scope, prioritize, and execute deep-dive analyses with minimal direction, proactively identifying opportunities and risks across the product and advertising landscape.
• Drive the development and executive-level presentation of weekly, monthly, and ad-hoc performance reports, synthesizing data across multiple Analytics and BI systems into clear, actionable narratives.
• Own the creation, maintenance, and evolution of dashboards and KPI frameworks for senior and executive management, ensuring metrics remain relevant and aligned with business priorities.
• Analyze historical performance and growth trends to surface forward-looking, actionable insights—going beyond reporting to influence strategic direction.

• Undergraduate or graduate degree in an analytical field; advanced degree preferred.
• 5+ years of experience in a Business Intelligence, Data Analytics, or similar role, with demonstrated growth in scope and independence.
• Proven track record of owning analytical work streams end-to-end and delivering insights that have measurably influenced business decisions.
• Deep experience in Product Analytics, including user behavior, involvement, retention, and funnel analysis in a digital or streaming environment.
• Experience in Marketing, Content, Finance or Advertising Analytics.
• Familiarity with media, online advertising, AVOD/SVOD business models, or digital ad sales processes.
• Strong executive communication skills—able to distill complex analyses into clear narratives and present confidently to senior management.
• Strong critical thinking skills with the ability to individually frame ambiguous problems and develop analytical approaches.
• Advanced SQL proficiency, including complex query writing, optimization, and validation across large datasets.
• Experience working autonomously in a dynamic, data-driven environment with shifting priorities.
• Demonstrated ability to lead cross-functional analytical engagements and manage stakeholder relationships with minimal oversight.
• Strong Excel and data visualization skills.