Data Analytics - Remote

Interview Process-

• Involves multiple stakeholders: head of engineering, head of product, and a data exercise.
• Series of 30-45 minute meetings to assess fit and skill level.

• 6+ years of experience in data analytics for consumer products with experience leading teams

• Work experience

• 2+ years working in B2C mobile apps

• 2 -​ 5 years of direct management expereince is the sweet spot – looking for a Player-​coach

• Experience in a fast paced startup environment (VC backed,​ rapidly growing mobile app,​ etc.​)

Hard skills

• Has owned product analytics at a B2C software company -​ conversion funnels,​ feature adoption,​ retention,​ user segmentation

• Updated

• Deep understanding of subscription and mobile app metrics:​ trial conversion,​ trial-​to-​paid modeling,​ LTV,​ renewal rates,​ cohort analysis

Depth with data analytics and engineering tools (SQL,​ dbt,​ BigQuery,​ Python,​ Mixpanel,​ Amplitude,​ etc.​)

Experience with mobile UA attribution — MMP (AppsFlyer,​ Adjust,​ or similar),​ SKAN,​ multi-​touch

Practical experience building with AI/LLM tools

Soft skills: Effective communication:​ when they’re asked a question,​ they answer it succinctly and directly.​