Senior Data Analyst
Central Analytics
Posted on 2/16/2023
INACTIVE
Chartboost

201-500 employees

In-app monetization and programmatic advertising platform
Company Overview
Chartboost stands out as a leading in-app monetization and programmatic advertising platform, reaching over 700M unique users monthly across more than 200,000 mobile apps, demonstrating its extensive reach and industry leadership. The company's culture is centered around empowering app developers to earn advertising revenue, while providing advertisers access to highly engaged audiences, showcasing its competitive advantage. With the highest integrated independent mobile ad SDK and recognition as a top media source by Kochava, Appsflyer, and Singular, Chartboost's technical innovation is evident.

Company Stage

N/A

Total Funding

$271M

Founded

2011

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

34%

2 year growth

79%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Apache Spark
SQL
Tableau
Hadoop
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
  • 3+ years of experience as a data analyst ideally with 1+ years of experience in digital advertising
  • Fluent in SQL; Solid experience with programming in Python; Adept in at least one visualization tool such as Tableau, or QlikView
  • Demonstrable experience with some or all of the following: statistics, experimental design, machine learning, deep learning
  • Experience in analyzing large datasets, preferably in a Hadoop or Spark environment, and deploying production ready systems at scale
  • Strong written and oral communication skills
  • Ability to work effectively in a fast-paced environment with changing priorities
  • Ability to collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact
Responsibilities
  • Deliver analyses and reporting to the leadership team to track achievement and performance of financial targets. Deliver weekly deep-dives on opportunities and gaps in business performance. Empower the leadership to make critical business decisions
  • Design and execute A/B tests to compare performance of new features and strategies vs. benchmark. Empower product team to evaluate product performance
  • Design and execute analyses to key operational questions to improve yield revenue, and profitability of advertising campaigns. Empower the operations and business teams to prioritize advertisers, and publishers and test operational strategies
  • Define, prioritize and deliver analytics roadmap and product features based on business requirements
  • Take ownership of the data and visualization strategy for the analytics team
  • Mentor junior members of the team