Masterworks Overview:

Masterworks is a fintech platform that allows anyone to invest in shares of SEC-qualified blue-chip paintings by names like Banksy, Monet, and Picasso. So far, we have raised over $400M across 100+ paintings from more than 350,000 users. This year, we expect to buy more than $1 billion in art, making us the largest buyer in the art market.

The business has more than 180 employees, and has been featured in major media publications such as The NY Times, CNBC, CNN, WSJ, and more. After becoming profitable in early 2020, just three years after being founded, Masterworks raised $110M in its Series A round with a valuation of over $1 billion.

With the exception of our tech team, all employees work in our offices at Brookfield Place in the Financial District of New York City.

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Why Masterworks?

• Do you thrive on disruption?
• Do you want to live at the cutting edge of finance, technology, and art?
• Are you passionate about democratizing alternative investments?
• Do you enjoy meaningful work that has a noticeable impact on business performance?

If you answered “Yes” to any of the above, we'd love to hear from you!

Position Overview:

At Masterworks Advisers LLC, our fiduciaries meet with numerous clients every day, guiding them through the process of investing in fine art. These clients have unique life cycles involving various combinations of interactions with membership coordinators, financial advisers, customer experience teams, and others. Evaluating the performance of our retail arm requires distilling this complexity into understandable KPIs, forecasts, goals, and reports.

We are looking for a motivated and competent Business Analyst to join our 2-3 person team, reporting directly to our Analytics & Operations Manager. Our ideal candidate is detail-oriented, methodical, and comes from a background in data science, statistics, and/or computer science. You should be comfortable with tasks ranging from discussing the statistical significance of A/B experiments to creating reports using SQL queries and Python scripts. An eagerness to learn and develop a deep understanding of our systems and vendors, particularly our Hubspot CRM, is also highly valued.

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Responsibilities:

1. Producing analyses of various scopes to meet business needs. Some examples include: conversion metrics, forecasting demand and managing staff to this, cohort/LTV growth, correlation analysis, predictive analytics (regression and neural-network modeling),
2. Spinning up visually-digestible reports, and configuring real-time displays in-office
3. Running A/B experiments to improve the retail cycle and boost KPIs
4. Cleaning and associating data living in disparate sources (our database, our Hubspot CRM, third-party dialer softwares, etc), and, liaising with data engineers where necessary
5. Learning our systems, especially Hubspot, to ensure reliable data and efficient processes.

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Requirements or Skill Sets:

1. Degree in data science, statistics, computer science, or similar (post-secondary degree or equivalent experience)
2. 2+ years relevant professional experience
3. Proficiency with SQL, familiarity with Python or similar scripting language
4. Comfort working in a fast-paced environment on a lean team
5. Attention to detail and a knack for getting to the root of inaccuracies
6. Knowledge of Hubspot a plus

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Additional Requirements:

• Must be authorized to work in the US - no exceptions
• Must be able to work in our NYC office - not a remote role

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Benefits at Masterworks:

• Daily catered lunches
• Free admission to art museums and galleries
• Health, dental, and vision coverage with FSA options
• PTO and 401k
• Discounted Equinox membership
• Happy hours, company outings, social clubs, and more!

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How does Masterworks think about compensation?

The compensation range for the role is $70,000-90,000 (inclusive only of base salary, and exclusive of other potential competitive benefits such as on-target commission, bonus payments, and equity). Our ranges are very broad to accommodate all types of candidates and encourage growth. Specific compensation offered to a candidate may be dependent on factors such as education, experience, qualifications, and alignment with market data. Exceptional candidates may receive salaries outside of the posted ranges.