Analyst, Audience Insights
Listed on 2026-10-07
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IT/Tech
Data Analyst, Business Intelligence
At UP Entertainment, we are passionate about storytelling, cultural trends, and fostering dynamic audience engagement across screens and platforms. Join us in making UP Entertainment the leading platform for uplifting digital entertainment.
Job Title: Analyst, Audience Insights
Reports to: VP of Audience Insights
Location: Atlanta - Hybrid
FLSA Status: Exempt
Job SummaryReporting 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.
Who You AreEnthusiastic about the evolving world of television and streaming, 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.
- Translate complex data into clear, actionable insights that inform various departments and business strategies, highlighting key takeaways, trends, and implications for content and platform performance.
- Present insights through concise, compelling storytelling for both technical and non‑technical audiences.
- Design, build, and manage cross‑platform reports and dashboards that track streaming performance and audience engagement, ensuring all outputs are accurate.
- Define, track, and interpret KPIs such as viewership, engagement, retention, and conversion.
- Deliver recurring and ad‑hoc analyses on content performance, audience behavior, acquisition, and churn.
- Partner with Data Engineering to ensure reliable access to data pipelines, models, and source data.
- Partner with cross‑functional stakeholders (Content, Marketing, Product, Distribution, Finance) to translate business needs into analytical solutions.
- Maintain organized datasets, documentation, and reporting structures to support reliable analysis.
- Ensure data accuracy, consistency, and governance through rigorous validation and QA.
- Support metadata management and alignment of business definitions across reporting.
- Document business requirements, workflows, and reporting logic with clarity and precision.
- Manage priorities, timelines, and deliverables to produce high‑quality work on time.
- Evaluate emerging AI and BI capabilities and identify opportunities to improve automation and efficiency.
- Works well independently and collaboratively as a team; experience working with cross‑functional teams.
- Seeks feedback to improve performance and strives continuously to build, especially around the key elements of the service including distributors, platforms, and content.
- Data analysis, storytelling, and visualization
- Problem‑solving and critical thinking
- Data accuracy and quality assurance
- Project management and organization
- Collaboration and stakeholder partnership
- Proactive issue identification and resolution
- Oral & Written Communications:
Exceptional written and oral communication skills, inclusive of external public speaking and clear, concise documentation. - Problem Solving and Analysis:
Identifies significant problems and opportunities, analyzes problems in depth, determines root causes, and achieves effective resolution. - Judgement and Decision Making:
Consi…
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