As Data Analyst, you will join a team of experienced analysts who collaborate to help inform key decisions across the entire business in order to inform our continued growth and success.
This position is full-time and based at our beautiful offices in downtown Manhattan, and starts immediately.
To apply, please submit your resumé and a cover letter here. When you apply, you will be directed to a third party site.
Artsy empowers a global audience to learn about, discover, and collect art. Our mission is to expand the art market to support more artists and art in the world.
We partner with leading museums, international galleries, auction houses, and art fairs to create the world’s largest marketplace for art, transforming one of the last industries to fully embrace technology by creating a more accessible and connected digital landscape for art consumption.
Artsy is a company with a culture that naturally empowers its employees to do their best and most creative work. We are working to expand access to the art world, deepen passion and engagement with art and those who create it, and impact culture on a global scale. At Artsy, we envision a future where everyone is moved by art everyday.
At Artsy there are no specific work hours or policies, no pointless bureaucracy. We only care that you achieve inspiring results and are a joy to work with. This means you must be highly energetic, enthusiastic, and resourceful—no problem is too big or too small for you to tackle. You will enjoy both responsibility and autonomy in your work.
WORKING AT ARTSY
Artsy has five core values that will inform your experience at Artsy.
Art x Science: We believe in uniting empathy with logic, emotion with data, and intuition with research in everything we do. Whether in business strategy or design, culture or code, we seek the magic that happens when the often separate worlds of art and science come together.
People are Paramount: We spend extraordinary energy finding the best person for a job—and once found, we give them the trust and autonomy to be CEO of their role. We avoid pointless bureaucracy and prefer to empower people with information rather than limit them with process.
Quality Worthy of Art: We aim to create an experience worthy of all the world’s art and so hold ourselves to the highest standards in all our work. We believe that the best long term quality comes from rapid shipping, iterating, and learning as we go.
Positive Energy: We know positivity and optimism benefit our work, and we harness positive energy as a vehicle towards greater awareness, growth, and collaboration. We believe in cultivating a positive relationship to art as opposed to one based on exclusivity or scarcity.
Openness: We believe in being open with each other and the world—whether in open-sourcing our code, sharing feedback, or building a diverse and inclusive work culture. We believe in bringing our full selves to work and manifesting an open world where everyone has access to art.
Artsy is an equal opportunity employer. We value a diverse workforce and an inclusive culture. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, and veteran status.
Analysts at Artsy are full stack: Your day to day will involve working with product managers and designers to plan what to build, working with engineers to make sure we’re capturing the right data, writing data transformation jobs to make sure the data is in its most useful possible state, coding scripts and notebooks for analysis, presenting results, and following up to make sure our work is understood and acted on.
In this role you’ll spend half your time with product and business teams, helping to translate data into insights and drive improved decision making, automation, and new products. The other half of your time will be focused on improving our analytics platform, building and improving our tools and infrastructure and making sure the Analytics Team is not the bottleneck to information flowing through the company.
- You’re energetic, curious, thoughtful and passionate about defining problems and reaching conclusions.
- You have at least two years of professional quantitative experience at a technology company.
- You are proficient with SQL and statistical programming in either R or Python.
- You know that data doesn’t fall from the sky in .csv form. You know that there’s a backstory to any data point, so you’re not afraid to dig deep to understand your raw material.
- You also know the basics of probability, statistical bias and inference, and how to calculate statistical power of an experiment. You know how to design compelling data visualizations, and how to explain difficult concepts simply.
- You prioritize in terms of impact and velocity, and while you’re generous with your time, you’re not afraid to make hard calls about how to spend it.