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Senior Data Analyst, Product

California, United States (On-site)

Senior Data Analyst, Product

4 Months ago • 6 Years + • Data Analyst

About the job

9 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

looker

pandas

python

sql

numpy

tableau

time-series-analysis

forecasting-budgeting

Job Description

Senior Data Analyst with 6+ years experience in product analytics, SQL, Python, and AB testing for an exciting startup.

Must have:

Data Analysis
SQL Experience
Python Experience
AB Testing

Good to have:

Redshift
Postgres
Time Series
Looker/Redash

Perks:

Growth Opportunity
Diverse Culture

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Inkitt is building the Disney of the 21st Century, standing at the forefront of technology and entertainment. Leveraging AI and predictive algorithms, Inkitt discovers unknown stories and turns them into blockbuster hits, producing a new $1M ebook every 4 weeks and selling directly to consumers through its Galatea app. Inkitt has become the 11th most bestseller-generating publisher in the world, boasting a 40x higher hit-rate than traditional publishers. Recently raising a Series C and backed by some of the top VC’s such as: Khosla, Kleiner Perkins, and NEA Ventures, our recent expansion into GalateaTV is only the beginning of our journey to becoming the next-gen entertainment powerhouse.

What You’ll Do:

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 AB tests, and extract actionable insights
Partner widely with product, engineering, research, and design to translate your insights to guide product development
You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends
Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction
Drive research and modeling around retention, conversion and renewal drivers
Support the business with ad-hoc analyses; internal and external business decisions
Build data pipelines to support reporting and analyses, and help shape our evolving data infrastructure
Foster data self-service culture in the product & engineering teams
Be product and user obsessed

What You'll Bring:

Bachelors degree Mathematics, Statistics, CS or in related field
6+ years data analysis experience in an online product business, with a proven track record of building analytics tools and generating insights
SQL experience with large data sets (we use Redshift and Postgres)
Python experience with data-related libraries such as numpy, pandas, etc.
Understanding of frequentist statistics, time series analysis and forecasting techniques
Experience with BI / reporting tools such as Looker, Redash, or Tableau (we use Redash)
Experience with ETL-related tools such as DBT or Airflow
Applied experience with AB testing

At Inkitt, we strive to build a company culture and provide employment opportunities based on diversity and inclusion. We believe every author should have an equal opportunity to succeed, as should our team members. As a growing team from 20+ countries, we welcome everyone to apply.

We look forward to hearing from you!

Check out our Careers Blog 💼

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About The Company

Inkittt

34 Active Jobs

We believe every author should have an equal opportunity to succeed. Therefore, our mission is to discover hidden talents and turn them into globally successful authors.

Inkitt is a pioneer at the forefront of Data Driven Publishing. Using an analytic and objective approach, we’ve discovered hundreds of talented authors around the world with over 50% of our published authors achieving $100,000+ in sales. We have forever changed the traditional publishing model by inventing an algorithm which analyzes users' reading behavior to identify hits, in turn removing subjectivity from the equation. This gives Inkitt the unique ability to discover hidden talents that might otherwise have gone unnoticed.

Hits that are identified by our algorithm, are then licensed to and distributed on our Galatea app where we systematically generate blockbusters by A/B testing the content of our stories. This process is our own unique creation, and something which has never before been done in the entertainment industry.

At present, we are an international team of 85 passionate and dedicated inventors and entrepreneurs and we are growing quickly. We are proud that our mission has persuaded early investors in Google and Spotify to back us, as well as attracted talents from Netflix, Activision Blizzard, DeliveryHero, Babbel, and N26 to join us.

We invent new solutions to problems we encounter, as opposed to simply iterating upon existing solutions.

Join us to build the Disney of the 21st Century!

FT1000: #8 Fastest-Growing Company in Europe 2023