Data Analyst - Marketing
Remote (US)
Full Time Entry-level / Junior USD 136K - 185K
Monarch Money
The modern way to manage your money. Monarch makes it easy to track all of your accounts, optimize your spending, analyze your investments, and create a financial plan to achieve your goals.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.
Tags: Business Intelligence Data visualization Data warehouse dbt Finance Pipelines Python R SQL
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex vacation Health care Home office stipend Startup environment Unlimited paid time off
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