Sekai
Technology
SeniorAnalyticsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analytics Engineer at Sekai. Skills: Analytics engineering, Data modeling, Product analytics. Design analytics data models. Maintain analytics data models”
Industry & Context.
Data debugging; Troubleshooting data issues
What They're Looking For.
Must Have
4+ years experience, SQL proficiency, Experience transforming data
Nice to Have
PhD preferred, Consumer apps experience, Social products experience, Gaming experience, Creator platforms experience, Recommendation systems experience, Content feeds experience, Mobile event taxonomy experience, Web event taxonomy experience, Retention analytics experience, Funnel analytics experience, Cohort analysis experience, Experimentation analytics experience, Growth analytics experience, Building analytics function experience, AI products familiarity, LLM usage data familiarity, Content generation data familiarity, Evaluation datasets familiarity
What You'll Do.
Design analytics data models
Maintain analytics data models
Build intermediate datasets
Build canonical datasets
Define company-wide metrics
Operationalize company metrics
Partner with engineering
Improve event taxonomy
Improve instrumentation quality
Improve data consistency
Build self-serve data products
Maintain self-serve data products
Establish data quality standards
Establish data testing
Establish data documentation
Establish data freshness checks
Support experiment readouts
Support cohort analysis
Support funnel analysis
Support product deep dives
Shape data architecture
How You'll Work.
Team & Collaboration
Product teams; Engineering teams; Growth teams; Leadership teams; Data scientists
Full Job Description
Sekai is building the TikTok for mini apps — an AI-driven consumer platform where people create, remix, share, and play interactive content instantly. We are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date. We are remote-first across all positions and are looking for ambitious, AI-native builders who want to help shape the next generation of consumer social products. Here are Sekai’s download links: - Android: https://play.google.com/store/apps/details?id=chat.sekai.app&hl=en_US - IOS: https://apps.apple.com/us/app/sekai-create-remix-play/id6504506653 About this Role We are looking for a Founding Analytics Engineer to build the data modeling layer behind Sekai’s product, growth, and company decision-making. This role is not a traditional BI or dashboard-only role. You will own the transformation layer that turns raw product events, backend logs, and operational data into clean, reliable, and reusable datasets for product analytics, experimentation, growth, creator insights, and investor-facing metrics. As an early member of the data function, you will work closely with product, engineering, growth, and leadership to define how Sekai understands user behavior, content performance, creator activity, retention, and product quality. You will design the canonical tables, metric definitions, data quality checks, and dashboards that help the team make faster and more trustworthy decisions. This is a highly hands-on role for someone who enjoys working across data modeling, analytics engineering, product thinking, and startup execution. WHAT YOU’LL OWN - Design and maintain the core analytics data models that transform raw events and logs into clean, trusted, analysis-ready tables. - Build intermediate and canonical datasets for key product areas such as user activity, content consumption, creation, publishing, remixing, retention, recommendations, and experimentation. - Define and operationalize company-wide metrics, including DAU, rete
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