Analyst, Streaming

About the Role

Key Responsibilities

• Support and conduct analyses of growth initiatives across CNN's digital platforms to identify trends and opportunities for optimizing conversion.
• Collaborate with cross-functional teams to develop and evaluate hypotheses, contributing to data-driven decision-making.
• Build and maintain reports and dashboards that track key conversion metrics and key performance indicators.
• Conduct exploratory analyses to uncover friction points in the user experience and support recommendations for improvement.
• Present findings in clear, concise formats to stakeholders, with guidance from senior analysts and managers.
• Collaborate with data engineering and platform teams to ensure data accuracy and scalability of analytics solutions.

Requirements

• 1+ years of experience in analytics, preferably in growth or digital media.
• Working knowledge of SQL for querying and analyzing large datasets.
• Experience with data visualization and dashboarding tools such as Tableau and Looker.
• Familiarity with basic growth- and product-analytics concepts such as attribution, funnels, LTV, and cohort analysis.
• Strong attention to detail, a proactive approach to problem-solving, and a keen eye for data quality.
• Curiosity about digital product performance and user behavior, with a strong interest in understanding what drives direct-to-consumer growth and conversion.
• Logical mindset capable of making appropriate trade-offs between speed and analytical depth without sacrificing quality.
• Strong interpersonal skills with the ability to influence and collaborate across teams.
• Ability to deliver on multiple projects and meet tight deadlines.
• Comfortable communicating with diverse audiences and translating data into strategic recommendations.
• A self-starter passionate about using data to drive decisions.

Nice to Have

• Exposure to digital subscription businesses or media industry.
• Experience with statistical programming languages (Python, R).
• Basic familiarity with A/B testing methodologies and experimental design.
• Understanding of basic statistical concepts such as correlation, probability distributions, statistical significance, hypothesis testing.
• Degree in a quantitative field (Math, Statistics, Economics, Computer Science, etc.).

Benefits & Perks

• Competitive salary range: $66,560.00 - $123,611.00 per year.
• Annual bonuses, short- and long-term incentives, and program-specific awards.
• Health insurance coverage.
• Employee wellness program.
• Life and disability insurance.
• Retirement savings plan.
• Paid holidays, sick time, and vacation.