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Senior Product Analyst

Monarch Money

Full-time
USA
$155k-$185k per year
analyst
python
sql
ab testing
data science
Apply for this position

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.

The Role

Monarch is looking for a senior product analyst to join our data team. In this role, you will work closely with product managers across both core product and growth experimentation to analyze A/B tests, new feature launches, lifecycle emails, and user behavior in the product. You will partner closely with the growth, product, and engineering teams while playing a crucial role in enabling us to make data driven decisions.

What You'll Do:

  • Design and analyze A/B tests and partner with Growth PM and lifecycle email manager on conclusions and recommendations

  • Analyze user behavior and dive into anomalies to understand changes in the business

  • Build predictive modeling around user behavior and feature usage to help us better understand reasons for churn and improve retention

  • Partner with engineering team on upcoming feature launches, ensuring that the right tracking events are in place and success metrics are defined

  • Provide data and insight into business decisions and share results with broader company and leadership team

  • Build new datasets and pipelines while also helping to maintain/update our existing data infrastructure

What You'll Bring:

  • At least 5 years of experience in a product analytics, data science, or related role, preferably at a growth stage company

  • Expertise in A/B testing, experiment design, statistical analysis, and causal inference

  • 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 with third-party tracking tools (we use Segment) and experience with supporting tagging and tracking for analytics purposes.

  • Experience with a product analytics tool (we use Amplitude) to analyze user behavior patterns

  • 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 DBT (or a similar data transformation tool) to create and refine data models

Nice to Haves

  • Experience in consumer subscription analytics

  • Experience in an early stage, high growth startup

  • Experience with Python or R

Typical Process:

  • Recruiter Video Interview

  • Hiring Manager Video Interview

  • Stakeholder Video Interview

  • Take Home Exercise

  • Final Video Interview

  • 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!

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.

Apply for this position
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About the job

Full-time
USA
$155k-$185k per year
Posted 6 hours ago
analyst
python
sql
ab testing
data science

Apply for this position

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Senior Product Analyst

Monarch Money

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.

The Role

Monarch is looking for a senior product analyst to join our data team. In this role, you will work closely with product managers across both core product and growth experimentation to analyze A/B tests, new feature launches, lifecycle emails, and user behavior in the product. You will partner closely with the growth, product, and engineering teams while playing a crucial role in enabling us to make data driven decisions.

What You'll Do:

  • Design and analyze A/B tests and partner with Growth PM and lifecycle email manager on conclusions and recommendations

  • Analyze user behavior and dive into anomalies to understand changes in the business

  • Build predictive modeling around user behavior and feature usage to help us better understand reasons for churn and improve retention

  • Partner with engineering team on upcoming feature launches, ensuring that the right tracking events are in place and success metrics are defined

  • Provide data and insight into business decisions and share results with broader company and leadership team

  • Build new datasets and pipelines while also helping to maintain/update our existing data infrastructure

What You'll Bring:

  • At least 5 years of experience in a product analytics, data science, or related role, preferably at a growth stage company

  • Expertise in A/B testing, experiment design, statistical analysis, and causal inference

  • 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 with third-party tracking tools (we use Segment) and experience with supporting tagging and tracking for analytics purposes.

  • Experience with a product analytics tool (we use Amplitude) to analyze user behavior patterns

  • 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 DBT (or a similar data transformation tool) to create and refine data models

Nice to Haves

  • Experience in consumer subscription analytics

  • Experience in an early stage, high growth startup

  • Experience with Python or R

Typical Process:

  • Recruiter Video Interview

  • Hiring Manager Video Interview

  • Stakeholder Video Interview

  • Take Home Exercise

  • Final Video Interview

  • 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!

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.

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