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Monarchmoney

Senior Product Analyst

Remote (US); Remote (Canada)Remote · North America
Senior · FullTime · Data
POSTED 25 SEPT
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Role
49 days opentrue age
Posted 25 Sept
Payats field
$180k–215kposted
▲ +50% vs market median $132k
$103k$215k
Market p25–p75
$103k–$170k
United States · n=4275 · 365d to 12 Nov
CompanyMonarchmoney →
6open roles
Opened · 30d
+0
Closed · 30d
−0
30d window
Market
29,082open · Senior Other
Opened · 7d
+2,96410% of open
All other
623,767open
All tracked boards · live 13 Nov · n=29,082
SnowflakedbtSQL

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.

Source · MonarchmoneyFirst seen 7 NovOriginal ↗