Lead Analytics Engineer

Full-time - Senior

Santa Monica, CA

Publishing Industries

About the position

We're headquartered in Santa Monica, California, housing multiple teams across many fields of Marketing, PR, Sales, Supply Chain and other corporate functions such as HR, IT, Legal, Facilities and Finance. Santa Monica is the nerve center of our company, where the best ideas combine with unrivaled rigor to create the biggest and best entertainment experiences in the world. The Mobile Analytics Team is seeking a talented Lead Analytics Engineer to collaborate directly with data, analytics/data science, and product functions to transform data into actionable insights for strategic decision-making. You will be focused on leading the analytics engineering function, you will build and maintain data pipelines and systems that enable efficient data analysis across the mobile portfolio. You'll work closely with engineers, product managers, and analytics peers to build a foundational data layer that helps derive meaningful insights and recommendations, as well as furthering self-service and automation capability through new tools and AI integration.

Responsibilities

• Partnering with analysts and data scientists to proactively identify and implement analytics solutions in support of the game development goals.
• Develop and maintain data warehouses and related ETL progress to ensure a centralized and organized repository for data consumers.
• Designing data solutions to ensure data integrity, reliability, and efficiency throughout our pipelines.
• Partnering with data engineering, data analytics, and data science teams to identify innovative solutions to improve data accuracy, automation, and self-service capabilities.
• Lead a functional team of up to 3 analytics and visualization engineers, with the option to take on managerial responsibilities.
• Communicate technical findings and insights to non-technical partners clearly and understandably.

Requirements

• A BA/BS degree in a technical field is required, with a preference for majors in Data Engineering, Data Science, Statistics, Mathematics, or related areas.
• At least 5 years of relevant professional experience in data modeling, warehousing, and the development of ETL pipelines, with a preference for experience in Airflow.
• Demonstrated expertise in SQL and python for querying complex datasets.
• Familiarity with creating data visualizations using platforms like Tableau, Looker, or similar tools.
• Strong capability to work alongside business partners, understanding their needs and translating them into strategic and actionable insights.
• Experience in gameplay analytics is a big plus.

Nice-to-haves

• Deep interests and understanding of AI integration in data.

Benefits

• Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance.
• 401(k) with Company match, tuition reimbursement, charitable donation matching.
• Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave.
• Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others.
• Relocation assistance if required to move geographic locations for the job.