Technical Data Analyst
Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience.
We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints.
That's where you come in.
As Technical Data Analyst, you'll provide expertise into bridging business and product needs with data solutions. As Riot strives to be a data informed company, you’ll ensure the quality of the data and the solutions provided. You’ll be integral in defining and maintaining data quality, in providing solutions for data in flight and at rest.
- Data-experienced: over the years, you've earned scars and stripes designing, implementing and managing data systems for mission critical, large-scale applications; you understand data through-and-through; you have recommendations on how to ingest, model, and configure databases and tables to enable efficient access based on project requirements
- Analytical: you're able to expediently identify and analyze problems using a variety of intuitive, logical, and creative methods, but you don't spin your wheels too much, instead moving quickly to implement solutions
- Business savvy: you can think about data as a product; you understand it is a resource that is valuable to a company and therefore managed properly; as a consumer of data you can also view data from a user's point-of-view; you can help establish and measure data quality, data access, data compliance and you can tell that story to both engineers and stakeholders of data
- Collaborative: you're comfortable working through ambiguity, seeking out value, working without close supervision. You communicate effectively with the stakeholders to seek out the best data solutions. You're comfortable operating behind enemy lines, clearing the problem's fog of war, providing relevant intel to aid in decision making
- Diverse: your skillset is broad, born from a need of adopting whatever tech was relevant to solve a problem. You use the command line to quickly bend messy data to your will. Python or other programming languages are the cauldron in which you convert data to gold
- Technical: you want to work in the kitchen where the data is made; you have no problem working with engineers and are curious about data systems and how data goes from an event to rest and all the transforms in-between while in-flight
- Player-focused: as a gamer yourself, you know the importance of listening to player needs, especially the implicit needs that can only be uncovered by analyzing and understanding player data
- Function as the Subject Matter Expert on enterprise data and set the standard on how to troubleshoot data issues, how to profile source data, how to build out scalable data quality checks, how to best meet business needs with data
- Work with data in HDFS and Vertica, understand data in a distributed system
- Help support and optimize our data ecosystem; be familiar with ETLs; have experience in one scripting language; be comfortable with Linux/Unix environment
- Work with data in real-time streaming, understand data pipeline in the cloud environment; have experience with Kafka, ElasticSearch or similar tools
- Have high aptitude in SQL; be an expert about database tech like MySQL, Postgres and NoSQL, etc
- Support and understand the story-telling for data consumers; be familiar with data visualization tools like Tableau and Kibana, etc
- Ensure the integrity, availability, and confidentiality of data, database systems and supporting services; optimize performance of database and data warehouse infrastructure
- Work with architects, product managers, and engineers to ensure adherence to best practices and data standards
- Collaborate with analysts and data scientists as a front line contact for Big Data to help them extract even more value from data, and to help the engineers set data up for maximum value
- Act as the technical point of contact for architectural changes and improvements to a world-class data and analytics infrastructure
Don’t forget to include a resume and cover letter. We receive a lot of applications, but we’ll notice a fun, well-written intro that shows us you take play seriously.