Analyst, Audience Insights
Role details
Job location
Tech stack
Job description
Reporting to the VP of Audience Insights, this role partners closely with Audience Insights, Data Engineering, Consumer Technology, and stakeholders across Streaming, Content, Marketing, Operations, and Finance. The Analyst will translate business needs into structured reporting and insights, while ensuring data accuracy, consistency, and timeliness as well as proactively addressing the evolving priorities of stakeholders and aligning with company goals. Success in this role requires strong data analysis and storytelling skills-connecting performance metrics to narrative insights that help stakeholders understand "what's happening and why"-along with exceptional attention to detail and disciplined project management., * Translate complex data into clear, actionable insights to inform various departments and business strategies that influence decisions by highlighting key takeaways, trends, and implications for content and platform performance with strong attention to detail and accuracy
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Present insights through concise, compelling storytelling for both technical and non-technical audiences
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Design, build, and manage cross-platform reports and dashboards that track streaming performance and audience engagement, ensuring all outputs are accurate
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Define, track, and interpret KPIs such as viewership, engagement, retention, and conversion
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Deliver recurring and ad hoc analyses on content performance, audience behavior, acquisition, and churn
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Partner with Data Engineering to ensure reliable access to data pipelines, models, and source data
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Partner with cross-functional stakeholders (Content, Marketing, Product, Distribution, Finance) to translate business needs into analytical solutions
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Maintain organized datasets, documentation, and reporting structures to support reliable analysis
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Ensure data accuracy, consistency, and governance through rigorous validation and QA
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Support metadata management and alignment of business definitions across reporting
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Document business requirements, workflows, and reporting logic with clarity and precision
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Manage priorities, timelines, and deliverables to produce high-quality work on time
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Evaluate emerging AI and BI capabilities and identify opportunities to improve automation and efficiency
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Works well independently and collaboratively as a team; experience working with cross-functional teams
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Seeks feedback to improve performance and strives continuously build; Especially around the key elements of the service including distributors, platforms, and content.
Requirements
Like buffalo, we run unified toward challenges and face them with determination and strength. Our industry is unpredictable and so are we. We work hard and are most resourceful and innovative when pressure is applied. We are confident and courageous, resolute, and strong. At UP, we welcome disruption., Are you enthusiastic about the evolving world of television and streaming? Do you enjoy uncovering insights from data to drive strategic decisions? In this position, you will be a key player in understanding how our subscribers engage with our content and the value it brings to our business. You will be a master storyteller, using data visualizations to paint a clear picture of content performance and platform health to provide actionable insights. Your attention to detail and data accuracy is second only to your organization and project management skills., * Data analysis, storytelling, and visualization
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Problem-solving and critical thinking
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Data accuracy and quality assurance
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Project management and organization
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Collaboration and stakeholder partnership
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Proactive issue identification and resolution
COMPETENCIES
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Oral & Written Communications: Exceptional, written, and oral communication skills. Communicates well one on one, in small groups and larger presentations, including external public speaking. Writes clear, precise, well-organized documents using appropriate vocabulary, grammar, and wording
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Problem Solving and Analysis: Identifies significant problems and opportunities. Analyzes problems in depth and achieves effective resolution. Determines root causes for issues and solves for them, striving for continuous improvement.
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Judgement and Decision Making: Consistent logic, rationality, and objectivity in decision-making. Neither indecisive nor hip-shooter. Generates sensible, realistic, practical solutions to problems. Exhibits a high level of integrity, earning trust of coworkers and putting organization and team above self-interests.
TECHNICAL SKILLS
To perform this job successfully, an individual must be proficient with Microsoft Outlook, Word and Excel. Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, AWS) and database skills (e.g., Snowflake). Basic knowledge of statistical analysis, data science environments (e.g., Python) or other analytical tools. Familiarity with third-party data and tools (e.g., Nielsen, Antenna+)
EDUCATION/EXPERIENCE:
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Bachelor's degree in Business Analytics, Consumer Research, Computer Science, Statistics, or related field
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3-5 years of experience in business intelligence, data analytics, or a related field, with a record of extracting insights from complex datasets
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Experience with data visualization tools (e.g., Looker, Power BI, Tableau); Looker BI platform Experience a strong plus
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Proficiency in PowerPoint, Excel, and SQL and knowledge of data warehouse dialects and query optimization
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Experience with cloud-based database platforms (such as Amazon Redshift, familiarity with Big Query is a plus)
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Demonstrated strong attention to detail and commitment to data accuracy
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Ability to work independently, manage multiple projects in a structured, organized manner, meet deadlines, and align projects with business goals
Preferred Experience:
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Media industry experience, especially with streaming services, subscription-based businesses, OTT, or digital media platforms
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Basic knowledge of statistical analysis
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Ability to code in Python
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Familiarity with third-party data and tools (e.g., Nielsen, Antenna+)
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Familiarity with marketing technology tools (e.g., HubSpot, Meta, Google Ads)
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Exposure to data governance, data quality, or metadata management practices
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Familiarity with Vibe Coding