Data Analyst
Posted on 2/7/2024
Blitz App

51-200 employees

Personal gaming coach with performance analytics
Company Overview
Blitz has carved out a niche in the competitive gaming industry by offering a unique app that leverages computer vision and data analytics to provide personalized coaching to gamers. Their focus on popular titles like League of Legends and Fortnite ensures relevance and appeal to a broad user base, while the integration of overlays and performance stats directly into gameplay distinguishes their product from more traditional coaching methods. This commitment to enhancing the gaming experience through technology positions Blitz as a forward-thinking employer in the intersection of gaming and AI-driven analytics.
Data & Analytics

Company Stage

Seed

Total Funding

$3.7M

Founded

2018

Headquarters

Los Angeles, California

Growth & Insights
Headcount

6 month growth

11%

1 year growth

20%

2 year growth

41%
Locations
Los Angeles, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Power BI
Python
R
Data Structures & Algorithms
Apache Spark
SQL
Tableau
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • Fluency in SQL or other programming languages (Python, R etc) for data manipulation
  • Previous internship(s) or 1-2 years of full-time experience in relevant roles
  • Experience telling stories with data and visualization tools (Tableau, PowerBI etc)
  • Exposure to techniques and algorithms for experimentation, prediction, classification, time series preferred
  • Experience with techstacks such as MLFlow, Spark, Databricks preferred
  • Self-motivated, detail-oriented, learn autonomously, and highly organized
  • Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Responsibilities
  • Conduct product analytics to provide product recommendations that drive product growth and nurture a healthy ecosystem
  • Deep dive into data sources, understand their limitations, and communicate complex data insights through exploratory analysis and research to suggest improvement
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends; understand root causes of metric movements
  • Design and build advanced analytical solutions and models to deliver superior business outcomes
Desired Qualifications
  • BS/MS in Computer Science, Math, Economics, Statistics, or other science and engineering fields