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, proactive problem-solving skills, and a keen eye for data quality.
• Curiosity about digital product performance and user behavior, with an interest in direct-to-consumer growth and conversion.
• Logical mindset capable of balancing speed and analytical depth without sacrificing quality.
• Strong interpersonal skills to influence and collaborate across teams.
• Ability to manage multiple projects and meet tight deadlines.
• Comfortable communicating with diverse audiences and translating data into strategic recommendations.
• Self-starter attitude focused on 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, and hypothesis testing.
• Degree in a quantitative field (Math, Statistics, Economics, Computer Science, etc.)

Qualifications

• Degree in a quantitative field such as Math, Statistics, Economics, or Computer Science (preferred but not explicitly required).

Benefits & Perks

• Salary range of $66,560.00 - $123,611.00 per year.
• Additional rewards including annual bonuses, short- and long-term incentives, and program-specific awards.
• Health insurance coverage, employee wellness programs, life and disability insurance, retirement savings plan, paid holidays, sick time, and vacation.