Senior Product Analyst at Inkitt

San Francisco, California, United States

Inkitt Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, EntertainmentIndustries

Requirements

  • Bachelor's degree in Mathematics, Statistics, CS or related field
  • 5+ years data analysis experience in an online product business
  • SQL experience with large data sets (ClickHouse)
  • Understanding of statistics, time series analysis, and forecasting techniques
  • Experience with BI/reporting tools such as Looker, Redash, Mode, or Tableau (Redash)
  • Experience with ETL-related tools such as DBT or Airflow
  • Applied experience with A/B testing
  • Startup experience (plus)
  • Python experience with data-related libraries such as numpy, pandas (plus)
  • Autonomous
  • Bring solutions instead of problems
  • Data driven
  • Quick to action
  • High functioning workaholic
  • Looking for exponential career growth

Responsibilities

  • Build and maintain systematic reporting and dashboards to foster self-service data culture
  • Conduct deep dives to understand feature/component performance and user behavior
  • Evaluate A/B tests and extract actionable insights
  • Partner with product, engineering, research, and design to translate insights to guide product development
  • Understand and explain trends across business, product, and member base
  • Lead experimentation by providing mentorship on execution, defining success metrics and data requirements, evaluating impact, and providing strategic direction
  • Support the business with ad-hoc analyses for internal and external decisions
  • Be product and user obsessed

Skills

SQL
ClickHouse
Redash
DBT
Airflow
A/B Testing
Statistics
Time Series Analysis
Forecasting
Looker
Tableau
Mode

Inkitt

Reader-powered digital publishing platform

About Inkitt

Inkitt operates as a reader-powered publisher, offering a platform where readers can access a diverse range of books for free across various genres like fantasy, sci-fi, romance, and more. The platform allows readers to provide feedback to authors, influencing the development of stories. Authors can submit their works, which Inkitt evaluates based on reader engagement metrics such as reading time and feedback. Successful stories are then offered publishing deals, including distribution on Inkitt's sister app, GALATEA. This data-driven approach helps Inkitt reduce risk by focusing on stories that have already garnered reader interest. The company generates revenue through publishing deals, sharing profits with authors, and potentially from premium content. Inkitt's goal is to connect readers with new literary talent while providing authors a platform to showcase their work.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$113.7MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Consumer Goods, EntertainmentIndustries
201-500Employees

Benefits

401(k) Retirement Plan
Health Insurance
Dental Insurance
Vision Insurance

Risks

Over-reliance on AI may lead to story homogenization, alienating readers.
Rapid TV series expansion could strain resources, affecting quality.
Privacy concerns over hyper-personalization may lead to regulatory scrutiny.

Differentiation

Inkitt uses AI-driven ReadRank to predict bestsellers, enhancing story selection.
GalateaTV transforms e-books into short-form TV series, expanding content reach.
Inkitt's Author Subscription Program offers authors 100% revenue, incentivizing content creation.

Upsides

Inkitt's $37M funding supports AI development for content optimization.
Interactive storytelling trends could enhance Inkitt's reader engagement.
Cross-media franchising offers potential for increased brand reach and revenue.

Land your dream remote job 3x faster with AI