sekai - Senior Analytics Engineer

• You will work closely with Product, Engineering, Growth, and Leadership, with hands-on ownership across BigQuery, PostHog, and Amplitude. • WHAT YOU’LL OWN • Own and evolve Sekai’s data warehouse architecture, with BigQuery as the core analytical platform. • Build reliable data pipelines, data models, and intermediate tables for product, growth, and company-level analysis. • Manage product analytics integrations across PostHog, Amplitude, and internal data sources. • Partner with Product and Backend Engineering on event instrumentation, tracking quality, and user journey visibility. • Create trusted source-of-truth datasets that help teams make faster and more consistent decisions. • Build clean reporting workflows, dashboards, and self-serve analytics foundations for internal teams. • Improve data quality, freshness, documentation, observability, and access patterns. • Optimize BigQuery cost and performance through thoughtful architecture, table design, and query practices. • BACKGROUND WE’RE LOOKING FOR • 5+ years of professional experience in data engineering, data platform engineering, or a closely related role. • Strong hands-on experience with SQL, Python, and large-scale analytical data systems. • Deep experience with BigQuery, including warehouse design, query optimization, and cost-aware data modeling. • Experience working with product analytics tools such as PostHog, Amplitude, or similar platforms. • Strong understanding of consumer app analytics, including funnels, retention, cohorts, activation, engagement, and user journeys. • Ability to understand business and product needs, then translate them into scalable data architecture. • Comfortable working with backend engineers on tracking, data contracts, APIs, logs, and production data flows. • High ownership mindset; able to operate independently in a fast-moving startup environment. • Experience as an early data hire or primary owner of a startup data platform. • Experience building or rebuilding a data warehouse from 0 to 1. • Background in consumer apps, social products, UGC platforms, creator tools, gaming, or mobile-first products. • Backend engineering experience or strong familiarity with backend systems. • Experience building AI-ready data workflows, internal data tools, or governed self-serve analytics systems. • Strong side projects, open-source work, or independently built data products.