Job description

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're hyper focused on building a product people love, and on finding every edge that helps us do that better. AI is core to how we operate: every person on the team uses it as a partner to sharpen judgment, move faster, and expand what's possible. We're not looking for tool mastery, we're looking for fluency and curiosity. What matters is that AI is part of how you work today and that you're actively raising your own bar on how to use it well. 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. THE ROLE: Monarch is looking for a senior product analyst to join our data team. In this role, you'll own how we measure the product and how we learn from it by setting the bar for experimental rigor, investigating user behavior to find what actually drives conversion and retention, and running our experimentation loop end to end. You will partner closely with peers on the data team and work with growth, product, and engineering teams, playing a crucial role in enabling us to make data-driven decisions. WHAT YOU’LL DO: - Own A/B test design and analysis and partner with product managers on conclusions and recommendations - Partner with the growth team across the full experimentation loop from generating and prioritizing ideas, sizing the opportunity, designing and analyzing the experiment, and folding learnings into the next round - Analyze user behavior and dive into anomalies to understand changes in the business - Partner with product and engineering teams on upcoming feature launches, defining the measurement approach and success metrics, and ensuring tracking events are in place - Provide data and insight into business decisions and share results with broader company and leadership team - Automate recurring workflows without sacrificing insight quality - Build new datasets and pipelines while also helping to maintain/update our existing data infrastructure WHAT YOU’LL BRING: - At least 4 years in a product analyst (or similar) role, preferably at a growth stage company - Advanced knowledge of statistical methodologies for A/B testing including designing experiments and analyzing their results - 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 - Experience across a modern analytics stack. We use Amplitude and Statsig for product & experimentation and Snowflake, DBT, Hex, and Omni for BI. - AI fluency - you are actively pushing the boundaries of AI and know when to use it and when it might introduce errors NICE TO HAVES: - Experience in consumer subscription analytics - Experience in an early stage, high growth startup TYPICAL PROCESS (MAY VARY DEPENDING ON ROLE): - Recruiter Video Call - Hiring Manager Video Call - Peer interview - Take Home Assignment - Virtual “onsite” round consisting of 2-4 rounds - Reference Checks - Offer! #LI-DNI 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! EQUAL OPPORTUNITY & NON-DISCRIMINATION We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy and gender identity), sexual orientation, age, marital status, veteran status, disability status, or genetic information. APPLICANT NOTICES California & San Francisco: Pursuant to the California Fair Chance Act and the San Francisco Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for employment. We comply with all applicable fair chance hiring laws.

Requirements

Must-haves

Own A/B test design and analysis and partner with product managers on conclusions and recommendations
Partner with the growth team across the full experimentation loop from generating and prioritizing ideas, sizing the opportunity, designing and analyzing the experiment, and folding learnings into the next round
Analyze user behavior and dive into anomalies to understand changes in the business
Partner with product and engineering teams on upcoming feature launches, defining the measurement approach and success metrics, and ensuring tracking events are in place
Provide data and insight into business decisions and share results with broader company and leadership team
Automate recurring workflows without sacrificing insight quality
Build new datasets and pipelines while also helping to maintain/update our existing data infrastructure
At least 4 years in a product analyst (or similar) role, preferably at a growth stage company
Advanced knowledge of statistical methodologies for A/B testing including designing experiments and analyzing their results
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
Experience across a modern analytics stack. We use Amplitude and Statsig for product & experimentation and Snowflake, DBT, Hex, and Omni for BI.
AI fluency - you are actively pushing the boundaries of AI and know when to use it and when it might introduce errors
Recruiter Video Call
Hiring Manager Video Call
Peer interview
Take Home Assignment
Virtual “onsite” round consisting of 2-4 rounds
Reference Checks

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlrest

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto