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Monarch is looking for a Senior Analytics Engineer to join our data team. This role will primarily support aggregation - the systems and data pipelines that connect Monarch to users’ external financial accounts and data sources (e.g. banks, home values, credit scores) - while also partner with teams across the business on broader analytics and data modeling needs. You will be responsible for helping to build and maintain infrastructure, enable data-driven decision making at all levels of the company, and provide accurate and timely analysis to help solve complex problems.
Job Responsibility:
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, 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
Expert level SQL
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
Experience with a product analytics tool
Nice to have:
Experience in consumer subscription analytics
Experience in fintech
Experience in an early stage, high growth startup
What we offer:
Work wherever you want
Competitive cash and equity compensation
Stipend to set-up your ideal working environment
Competitive Benefit Plans for employees based on your location