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KOHO is looking for an Analytics Engineer, Product to build and scale robust product reporting pipelines that power complex product launches across our Payments, Credit, and Subscriptions domains. Embedded within the Product Analytics org, you'll partner closely with Product Analysts, Product Managers, and Engineering teams on multi-month builds, ensuring our data infrastructure keeps pace with ambitious product initiatives. This is a new role bridging analytics engineering excellence with product analytics needs. You'll own the technical backbone that enables our product teams to make data-driven decisions at scale.
Job Responsibility:
Lead complex product pipeline builds: Design and develop scalable data pipelines supporting cross-domain product launches in Payments, Credit, and Subscriptions, from scoping through delivery
Collaborate cross-functionally: Partner with Product Analysts and Product Managers to define data requirements, while analysts continue owning pipelines alongside you
Build product reporting infrastructure: Create reliable, performant marts and models that power product dashboards and self-service analytics
Design scalable data models: Apply modeling frameworks (one big table, entity tables, Kimball) tailored to product analytics use cases
Optimize and monitor: Maintain pipeline health, optimize query performance, and implement data quality monitoring
Enable the team: Document solutions, establish best practices, and help upskill Product Analysts on pipeline development
Integrate cross-functional data: Work across domain boundaries to unify product data into cohesive reporting structures
Requirements:
3+ years of experience in analytics engineering, data engineering, or similar data roles
Advanced DBT expertise: Comfortable with various materializations, such as incremental, table, view, etc. Familiar with snapshots, variables, macros, and jinja.
Strong SQL skills with a focus on query optimization and performance
Experience with modern data stack: DBT Core and/or DBT Cloud, Git. A plus if experience with Redshift.
Collaborative mindset: You thrive working alongside analysts, PMs, and engineers to translate business requirements into technical solutions
Strong communicator: You adapt communication to different audiences and connect technical work to product outcomes
Proactive problem-solver: You identify opportunities for improvement and take initiative without waiting to be asked
AI-curious: Experience or strong interest in leveraging AI tools for development workflows
Nice to have:
Experience in fintech or consumer product environments
Background working embedded within product or analytics teams
Experience with Payments, Credit, or Subscription product domains
What we offer:
Competitive compensation & equity
Fantastic, Deeply Engaged Team
Generous vacation + Wellness days + Flex Days + holiday closure
Remote-first environment + coworking support + yearly all hands retreat
Access to coaching & growth programs
Parental top-up & leave policies
Comprehensive health benefits
Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development