Senior Analytics Engineer

Monarch Money
1dRemote

About The Position

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.

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

Nice To Haves

  • Experience in consumer subscription analytics
  • Experience in fintech
  • Experience in an early stage, high growth startup

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

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!
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