Senior Product Analyst

Monarch Money

• $110K — $130K *
US-Anywhere
+ 2 other locationsRemote
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years as a product analyst or similar role, ideally in a growth stage company
  • Expertise in statistical methods for A/B testing, including design and analysis
  • Excellent problem-solving skills, comfortable navigating ambiguity
  • Ability to translate technical requirements to non-technical stakeholders
  • Advanced SQL proficiency, including data creation and complex queries
  • Familiarity with modern analytics tools like Amplitude, Statsig, Snowflake, and DBT
  • AI fluency, with an understanding of appropriate applications

Responsibilities

  • Own A/B test design and analysis, collaborating with product managers on outcomes
  • Work with the growth team throughout the experimentation process, from idea generation to learning integration
  • Dive into user behavior analysis to understand significant business changes
  • Collaborate with product and engineering on feature launches, defining metrics and success criteria
  • Deliver insights to inform business decisions and communicate findings across teams
  • Automate workflows, ensuring the quality of insights is maintained
  • Build and maintain data sets and pipelines, supporting existing infrastructure

Benefits

  • Fully remote work policy allowing you to choose your optimal work environment
  • Competitive remuneration with cash and equity options in a fast-growing startup
  • Setup stipend to create your ideal workspace
  • Comprehensive benefit plans tailored to your location, including insurance and retirement options
  • Unlimited paid time off (PTO) policy
  • Unique monthly 3-day weekend to promote work-life balance and personal time
Full Job Description
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!

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