Senior Analytics Engineer
About Us:
Monarch is a powerful, all-in-one personal finance platform designed to help make the complexity of finances feel simple again. Since launching in 2021, we’ve become the top-recommended personal finance app by users and experts. Our goal? To take the stress out of finances so our members can focus on what truly matters.
We are a team of do-ers led by experienced entrepreneurs who are passionate about helping our members reach their financial goals. We are hyper focused on building a product people love and continuing to evolve based on user feedback.
As a fully remote company (even before COVID!), we welcome applicants from almost anywhere. Our team collaborates synchronously mostly from 9 AM – 2 PM PT and embraces asynchronous work to stay connected across time zones.
Join us on our mission to transform lives by simplifying money, together.
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. You thrive in a fast-paced environment, are comfortable in ambiguous situations, and can build something new when what you need doesn’t already exist.
What You’ll Do:
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
What You’ll Bring:
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
Nice to Have’s:
Experience in consumer subscription analytics
Experience in fintech
Experience in an early stage, high growth startup
Benefits :
Work wherever you want! As a fully remote company with no central office, we want you to work wherever you are happiest and most productive. Whether that’s out of your home, a co-working space, or elsewhere.
Competitive cash and equity compensation in a hyper growth, early stage company 🚀.
Stipend to set-up your ideal working environment.
Competitive Benefit Plans for employees based on your location (e.g. in the US we offer: Medical, dental and vision benefits and the ability to contribute to a 401k plan).
Unlimited PTO.
3 day weekend every month! We take off the “First Friday” every month to focus on rest, recuperation, or just having fun!
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.