Who are we?
App Annie delivers the most trusted app market data and insights for your business to succeed in the global app economy. Over 1 million registered members rely on App Annie to better understand the app market, their businesses and the opportunities around them. The company is headquartered in San Francisco with 450 employees across 15 global offices. App Annie has received $157 million in financing, including from investors such as Sequoia Capital, Institutional Venture Partners, IDG Capital Partners, e.ventures, Greenspring Associates, and Greycroft Partners.
App Annie is an international team of super-talented people from different cultural backgrounds (Beijing, San Francisco, London and more). We offer lots of responsibility in your role, and room for you to grow with the company. And beyond personal growth, you’ll help make a great impact on App Annie’s success as a whole. With regular exposure to C-level executives, VPs, and Silicon Valley entrepreneurs you’ll have the opportunity to learn a ton from experts in their fields.
What do we offer?
App Annie does not accept unsolicited agency resumes. Any unsolicited agency resumes received will be treated as the property of App Annie, and App Annie will not be responsible for any fees related to such resumes.
App Annie is an equal opportunity employer. App Annie values diversity, and all employment decisions are made on the basis of job requirements and individual qualifications.
As a Data Analyst with Business Intelligence experience, reporting to the VP Product of B2C apps, you make sure that available data is transformed into insights that help Product Managers and Marketing Managers in App Annie’s B2C mobile apps team make better informed business decisions.
What you can tell your friends when they ask you what you do?
“I make sure that my team makes data-driven business decisions to improve our product and business strategy every day.”
How would a typical day look like?
Your day would start with checking BI dashboard if all the KPIs are still coming in and looking good. After that's done, you would grab yourself a nice hot coffee and discuss latest the tech developments before you jump into your online meeting with your colleagues in Beijing, discussing the new requirements for the BI dashboard. Then it's time for a deep dive, running some SQL queries analyzing the latest retention figures. After a joined lunch with the whole office, you jump back into your analyses to round up conclusions and maybe some plan additional analyses. To end your day you will sync with the Product Manager to discuss your findings and recommendations.
How will you do this?
What should you bring to the party?