4 дня назад
Senior Analyst, Digital Analytics-MS NOW
80 000 - 100 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analyst, Digital Analytics-MS NOW (SQL/Subscription Analytics): Analyzing audience and subscriber data across acquisition, engagement, retention, churn, content consumption, and video performance with an accent on digital product measurement and experimentation. Focus on building dashboards, developing audience segmentation and predictive capabilities, and translating complex datasets into actionable recommendations for product, editorial, marketing, and business teams.
Location: Hybrid, contributing from the New York City office a minimum of three days per week
Salary: $80,000–$100,000 yearly
Company
is a media and entertainment business operating across political news, business news and personal finance, golf, sports, and genre entertainment, with brands including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and USA Sports.
What you will do
- Conduct exploratory and deep-dive analyses of audience and subscriber behavior using SQL and large, complex datasets.
- Monitor acquisition, engagement, content consumption, retention, audience exposure, and video performance metrics.
- Define KPIs, measurement frameworks, and analytical requirements with Editorial, Product, Marketing, Engineering, and business stakeholders.
- Build and maintain dashboards and recurring reporting to support performance understanding, data democratization, and governance.
- Develop hypotheses, measurement plans, and experiment analyses with Product and experimentation teams.
- Support audience segmentation, propensity models, personalization capabilities, and executive-facing analytical narratives.
Requirements
- 3+ years of experience in digital analytics, product analytics, audience insights, or a related field.
- Experience in direct-to-consumer, subscription, or digital media businesses is preferred.
- Strong SQL skills and experience working with large, complex datasets and data lake environments.
- Proficiency in Excel, analytical modeling, and detailed quantitative analysis.
- Experience with Databricks or Snowflake, Adobe or Google Analytics, Amplitude, Tableau, Looker, Omni, or experimentation platforms.
- Ability to work in a hybrid arrangement from the New York City office at least three days per week.
Culture & Benefits
- Cross-functional collaboration with Editorial, Product, Marketing, Engineering, Data Engineering, Data Science, and business teams.
- Medical, dental, and vision insurance.
- 401(k), paid leave, and tuition reimbursement.
- Additional company benefits and perks.
Hiring process
- External candidates may be required to attend an in-person interview with a Media employee before a hiring decision.
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