Responsibilities

• Revenue-focused analytics: Connects data work directly to business outcomes → conversion, retention, ARPU, CLV, ROAS, payback
• Statistical rigor: Hands-on with hypothesis testing, experiment design, regression, segmentation, forecasting, and causal inference concepts.
• Subscription & growth analytics: Deep experience measuring and optimizing campaigns, business strategies, funnels, pricing, and personalization across channels.
• Storytelling with data: Distills complex analyses into simple narratives and visuals that influence senior stakeholders and drive decisions.
• Roadmapping & prioritization: Builds clear analytics roadmaps aligned to business priorities
• Team leadership: Coaches analysts, sets standards for quality and speed, and creates a culture of curiosity and impact.

Requirements

• Bachelor's or Master’s degree in Economics, Finance, Data Science, Marketing Analytics, or equivalent experience.
• 7-10 years of experience in Marketing Analytics focused on the Media Industry
• Advanced proficiency in statistics and experimentation (A/B testing, hypothesis testing, regression, segmentation, forecasting, causal inference) to support confident decision-making.
• Hands-on experience building KPI frameworks, measuring success of business strategies, scalable dashboards and forecasting models that improve visibility into performance and enable proactive course correction.
• Advanced proficiency in Python, R , SQL, Excel, and other statistical tools
• Strong communication skills, including experience presenting to senior stakeholders
• Ability to work under tight deadlines

Benefits

• Comprehensive Healthcare Plans
• Paid Time Off
• Retirement Plans
• Comprehensive Insurance Plans
• Lifestyle Programs & Wellness Resources
• Education Benefits
• Family Care Benefits & Caregiving Support
• Commuter Transit Program
• Subscription Discounts
• Employee Referral Program