Principal Analytics Engineer - Riot Data
Los Angeles, USA
Riot Games, Inc.
Riot Games. Developer of League of Legends, VALORANT, Teamfight Tactics, Legends of Runeterra, and Wild Rift. Creators of Arcane. Home of LOL and VALORANT Esports.Analytics Engineers create the fabric that connects Data Science, Data Engineering, Data Insights and Product Managers. They have a deep understanding of how Riot’s goals translate into measurable business outcomes that can be tracked, validated and informed by data. Their passion for problem solving lets them translate business questions into evergreen data tools that enable self-service to all Rioters. In doing so, they build foundational data sets that are the basis for centralized reporting, analysis, experimentation and machine learning applications.
As a Principal Analytics Engineer on the Central Product Insights team, you’ll be responsible for creating, owning and maintaining context-heavy, business-centric data models that help empower teams to achieve Riot’s strategic goals. The Central Product Insights (CPI) team at Riot is focused on delivering portfolio level game insights, both to help individual game teams optimize their products with consideration for the greater Riot ecosystem, and to aid business leaders in making data-informed strategic decisions. You will be embedded within the Central Product Insights team to build and maintain critical data pipelines used to assess product health and identify new strategic opportunities. You will develop high-leverage dashboards, bespoke product analyses, and curate data sources to answer key business questions across Riot’s entire portfolio. You will report directly to the Analytics Lead within the Data Organization, and be deployed on the CPI team as an embedded specialist.
Responsibilities:
- Understand and anticipate data needs by owning key stakeholder relationships across multiple product teams. Serve as liaison between data, product and insights teams.
- Architect, implement and own central data models that transform data from disparate sources into fully integrated, high-context datasets
- Engineer efficient and scalable ETL pipelines in partnership with data engineering
- Design, test and socialize new metrics that connect Riot data to desired business outcomes
- Publish high-impact dashboards to enable self-service of data questions
- Champion data governance best practices through robust documentation and lineage maps to curated sources of truth
- Partner with Data Science to produce models consumable by Machine Learning applications
Required Qualifications:
- 8+ years of professional experience, including 4+ in a technical analytics role (data, business intelligence, analyst)
- 4+ years of data visualization experience with Tableau, ThoughtSpot, Looker, PowerBI, Mode or similar tools
- 4+ years of experience with data modeling for reporting or business use cases
- Expertise using SQL in large-scale data warehousing environments
- Passion for producing high impact data products at scale
- ETL experience with Spark and/or Databricks
Desired Qualifications:
- Experience working in the games, entertainment or tech industries
- Experience with Airflow or other DAG-based orchestration tools
- Experience using dbt
- Familiarity with at least 1 programming language, such as java or python
- Experience optimizing for cloud-based data warehouses (Snowflake, BigQuery, DeltaLake)
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.
Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do, and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
- Safeguarding confidential and sensitive Company data
- Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
- Accessing Company assets, secure digital systems, and networks
- Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow BigQuery Business Intelligence Data Analytics Databricks Data governance Data pipelines Data visualization Data Warehousing dbt Engineering ETL Java Looker Machine Learning Pipelines Power BI Python Security Snowflake Spark SQL Tableau
Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Medical leave Parental leave
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