Senior Analytics Engineer

Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps.

Liftoff’s solutions, including Accelerate, Direct, Influence, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.

Analytics Engineers bridge the gap between data engineering and data analysis, focusing on transforming raw data into clean, structured, and accessible datasets that empower stakeholders to make data-driven decisions. Their role combines technical expertise, collaboration, and software engineering best practices to ensure reliable and scalable analytics systems. Analytics Engineers commercial, finance, platform, and R&D teams with trusted, high-quality data to drive business decisions at speed.

Responsibilities

• Design and maintain efficient data models for company-wide analysis, collaborating closely with business users.
• Develop user-facing data products using SQL and analytics on core infrastructure managed by the Data Engineering team.
• Optimize and improve Liftoff's Looker-based BI layer to scale and meet business needs.
• Independently complete tasks, managing your priorities and contributing to larger projects with minimal supervision.
• Identify and resolve technical debt, improving team productivity and project health.
• Maintain and troubleshoot data pipelines, ensuring reliable operation.
• Collaborate with users to optimize queries, design aggregations, and suggest performance improvements.
• Follow best practices like version control and CI/CD, ensuring maintainable and scalable code.
• Ensure high-quality work that meets security, reliability, and privacy standards.

Qualifications

• Minimum Bachelors Degree in Computer Science or related field
• 5+ years of experience with SQL, including expertise in writing efficient, optimized queries.
• Strong experience with Data Analytics and a solid understanding of query plans and data model optimization.
• 2+ years of experience with Looker, including developing user-facing dashboards, reports, and complex data models.
• Proficiency in Python for data analysis, automation, and integration with data workflows.
• Experience with JupyterLab for interactive analysis, data exploration, and creating reproducible workflows.
• Experience with DBT, Rill, and Looker for data modeling and BI tools.
• Strong knowledge of database fundamentals (execution plans, join strategies, etc.), with the ability to tune queries for performance.
• Excellent communication skills and experience collaborating with different teams to understand requirements.

Nice to Have

• Experience in ad-tech.
• Knowledge of AgroCD, Kubernetes, AWS, and Github.
• Familiarity with Big Data technologies like Apache Spark or Databricks.
• Experience with a second programming language (especially Scala).
• Familiarity with machine learning workflows.

Location:
This role is eligible for full-time remote work in one of our entities in the Pacific Time Zone: CA, NV, OR, and WA.

We are a remote-first company with US hubs in Redwood City, Los Angeles, San Francisco, Costa Mesa and New York City. This role must work in the Pacific Tme Zone.

Travel Expectations:
We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.

This role is required to travel (domestically and internationally) a minimum of 1 week per quarter of planning meetings and other work events.

Compensation:<