Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
About the role
- Analytics Engineer building reporting pipelines for complex credit reporting at KOHO. Collaborating with multiple teams to ensure data infrastructure supports credit initiatives.
Responsibilities
- Lead complex financial pipeline builds: Design and develop scalable data pipelines supporting banking processes, from scoping through delivery
- Collaborate cross-functionally: Partner with Credit, Payment Operations, Tech, Security, Risk, and Finance teams to define data requirements
- Build credit reporting infrastructure: Create reliable, performant operational data models that power internal and external reporting, audits, and money movements.
- Design scalable data models: Apply modelling frameworks (one big table, entity tables, event streams, Kimball) tailored to credit reporting 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 fellow Analytics Engineers and Analysts
- Integrate cross-functional data: Work across domain boundaries to unify financial data into cohesive reporting structures
Requirements
- 3+ years of experience in analytics engineering, data engineering, or similar data roles
- Advanced DBT expertise: Comfortable with complex DBT projects, 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 reporting 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. Strong foundations of AI-assisted development are a plus.
Benefits
- Competitive compensation & equity
- 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
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