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Data Analyst - Marketing

Monarch Money

Full-time
USA
$136k-$185k per year
data analyst
analyst
python
sql
business intelligence
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 Data Analyst to support our growth & marketing teams. You will enable data-driven decision making by building timely and accurate dashboards and reports, diving deep into campaign performance, and contributing to our data infrastructure. 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.

Responsibilities

Partner with growth team to analyze marketing initiatives, build reporting and dashboards, and bring new datasets into our data warehouse

Monitor performance and provide insight into key metrics such as CAC, ROAS, and conversion rates

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

Support forecasting, budgeting, and growth modeling efforts

Analyze active user behavior as well as our onboarding funnel and dive into anomalies to understand changes in the business

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

Skills & Requirements

3+ years in a data analyst (or similar) role, preferably at a growth stage company

Strong understanding of core marketing metrics (CAC, LTV, conversion rates, ROAS, etc)

Naturally curious and comfortable with ambiguity. Able to balance speed vs. accuracy and can make recommendations on the best approach to solving a problem

Able to translate business needs into analytical requirements and explain complex topics to non-technical stakeholders

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 a business intelligence/data visualization tool (we use Omni) to build reports and dashboards

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

Experience with in-platform marketing analytics tools (Google Ads, Meta, etc)

Nice to Haves

Experience in consumer subscription analytics

Experience in an early stage, high growth startup

Experience with Python or R

#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
$136k-$185k per year
Posted 1 day ago
data analyst
analyst
python
sql
business intelligence

Apply for this position

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Data Analyst - Marketing

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 Data Analyst to support our growth & marketing teams. You will enable data-driven decision making by building timely and accurate dashboards and reports, diving deep into campaign performance, and contributing to our data infrastructure. 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.

Responsibilities

Partner with growth team to analyze marketing initiatives, build reporting and dashboards, and bring new datasets into our data warehouse

Monitor performance and provide insight into key metrics such as CAC, ROAS, and conversion rates

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

Support forecasting, budgeting, and growth modeling efforts

Analyze active user behavior as well as our onboarding funnel and dive into anomalies to understand changes in the business

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

Skills & Requirements

3+ years in a data analyst (or similar) role, preferably at a growth stage company

Strong understanding of core marketing metrics (CAC, LTV, conversion rates, ROAS, etc)

Naturally curious and comfortable with ambiguity. Able to balance speed vs. accuracy and can make recommendations on the best approach to solving a problem

Able to translate business needs into analytical requirements and explain complex topics to non-technical stakeholders

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 a business intelligence/data visualization tool (we use Omni) to build reports and dashboards

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

Experience with in-platform marketing analytics tools (Google Ads, Meta, etc)

Nice to Haves

Experience in consumer subscription analytics

Experience in an early stage, high growth startup

Experience with Python or R

#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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