Senior Analytics Engineer

Monarch is a powerful personal finance platform aimed at simplifying financial complexities for users. The Senior Analytics Engineer will support data aggregation and collaborate with teams to enhance data-driven decision making and analytics across the company.

Responsibilities:

• Build new datasets and pipelines while also helping to update and improve our existing data infrastructure
• Run end-to-end analytics projects, from ingesting new data into our data warehouse (we use Fivetran & Snowflake), to transforming in DBT, to building user-facing dashboards in our BI tools
• Partner with PMs and engineering managers to define and develop KPIs
• Provide data and insights to inform business decisions and share results with the broader company and leadership team
• Analyze user behavior to understand product/feature usage and predict long-term cohort health
• Enable self-service analytics by training users on our BI tool and building clean, easy-to-use data models

Requirements:

• At least 5 years in an analytics engineer or data analyst/scientist role, preferably at a growth-stage company
• You are naturally curious and comfortable with ambiguity. You think through the tradeoffs of speed and accuracy and can make recommendations on the best approach to solving a problem
• You can work with both technical and non-technical partners and translate requirements into actionable steps. You can comfortably explain technical topics and roadblocks to non-technical partners
• Expert level SQL - you are comfortable not just with selecting data but with creating new tables, advanced features like window functions, and writing clear and succinct code
• Extensive experience with DBT (or similar tool) including complex data modeling, incremental models, testing, and performance optimization
• Experience with a business intelligence/data visualization tool (we use Omni) to build reports, dashboards, and entirely new topics for users to self-explore
• Experience with a product analytics tool (we use Amplitude) to analyze user behavior patterns and analyze experiments
• Experience in consumer subscription analytics
• Experience in fintech
• Experience in an early stage, high growth startup