Skillz is the leading mobile games platform connecting players in fair, fun, and meaningful competition.
The gaming industry is larger than movies, music, and books, with more than 2.7 billion gamers playing monthly and 10 million developers worldwide. Mobile is the fastest-growing segment of the gaming market, expected to increase from $86 billion last year to $161 billion in 2025.
As the first publicly-traded (NYSE: SKLZ) mobile esports platform, Skillz has pioneered the future of the gaming industry. The Skillz platform helps developers build multi-million dollar franchises by enabling social competition in their games. Leveraging its patented technology, Skillz hosts billions of casual esports tournaments for millions of mobile players worldwide, and distributes millions in prizes each month.
Through its philanthropic initiatives, Skillz has harnessed the power of its platform to transform the way nonprofits engage with donors, enabling anyone with a mobile device to support causes such as the American Red Cross, Susan G. Komen, American Cancer Society, and NAACP by playing in Skillz tournaments.
Skillz has also earned recognition as one of San Francisco Business Times’ Best Places to Work, Fast Company’s Most Innovative Companies, Parity.org’s Best Companies for Women to Advance, a two-time winner of CNBC’s Disruptor 50, one of Forbes’ Next Billion-Dollar Startups, and the #1 fastest-growing company in America on the Inc. 5000.
About the Role:
As an Analytics Engineer on the Data Platform team, you will help bridge the gap between engineering and business groups to make new features observable and meaningful. You will help guide the entire data discovery process by defining and maintaining data models built by data engineers for analytics and business intelligence usage. Reporting to a Data Engineering Manager, you will be critical in ensuring that data produced across the Skillz ecosystem is easily discoverable and consumable by all business stakeholders.
What You Will Do:
- Building strong cross-functional relationships between engineering and business stakeholders
- Design and create enterprise-grade data models
- Develop and review product and engineering design plans
- Utilize tools and create processes to map data lineage and data quality
- Implement and maintain key business metrics definitions
- Define data driven practices
- Ensure quality of data delivered to business
- Optimize and empower business decisions through domain specific mappings
- Work closely with analytics groups to create meaningful visualizations and dashboards
Your Skillz:
Basic Qualifications
- Strong professional experience in data warehousing, data modeling, and data management
- Experience working with cloud platforms such as AWS/GCP
- Experience with data lake and data warehousing concepts
- Experience working with scripting languages such as Python
- Fluency in SQL
- Excellent written and verbal communication
- Experience with complex object relationships
- Attention to detail
Bonus:
- B.S. or higher in Computer Science or related fields
- Experience working with customer acquisition, mobile, gaming, or finance domains
- Experience in cloud-native technologies
- Experience working with Tableau or equivalent
- Background in software development
- Working knowledge of streaming technologies (Kafka, NATS, etc) as well as cloud native distributed systems
- Knowledge of data orchestration tools such as Airflow / Prefect
- Prior experience or working knowledge of data warehousing systems e.g. Snowflake, Athena/Presto
Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status.
