Senior Data Analyst

at  Artsy

Artsy’s mission is to expand the art market to support more artists and art in the world. Artsy has created the world’s largest two-sided art marketplace, offering more than 1 million works by 100,000 artists from 4,000 leading galleries, fairs, auction houses, and institutions in more than 100 countries.
We are seeking a Senior Data Analyst to join the Data Science and Analytics team. As a Senior Data Analyst, you will translate data into insights and drive improvements to our product, operations, and strategy. You will question existing assumptions, and will set strategic frameworks to uncover and prioritize new product and business opportunities. You will focus on the consumer side of our marketplace studying user behavior and contribute to our vision for the rising number of data products we are launching. You will be embedded in a product team collaborating closely with a Product Manager, a Designer and a Technical Lead to drive the development of impactful products delighting Artsy users.
The Data Science and Analytics team provides support across all of our products and operations by developing insights and enabling analytical and automated decision making. We build strong partnerships with key stakeholders and foster a data-driven culture in which analytical insights guide continuous improvements across the organization. You will join a team of experienced analysts and be a part of a fast-growing, collaborative, agile data team which fosters a culture of impact and performance, with ample opportunities for ownership and growth. You will report to the manager of the Data Science and Analytics Team.

WHAT YOU’LL DO:

• Be a strategic partner to product and business leaders and help drive the right business and product decisions; proactively identify and champion projects that solace complex problems across multiple domains
• Investigate trends of key metrics such as user retention and conversion ; identify root causes and follow-through to make sure your work is understood and acted on
• Identify, implement, monitor, and report on team-wide Key Performance Indicators (KPIs)
• Ship data products that improve our understanding of the art market, Artsy’s marketplace, and how to best serve our collectors and partners
• Work with stakeholders to instrument proper tracking and define new data models, design and implement data pipelines
• Design and report on A/B tests using rigorous hypothesis testing methods
• Apply statistical and machine learning models (ie. Regressions, Clustering, Random Forest, Natural Language Processing, etc.) to inform improvements to our business and product such as user segmentation and user preferences
• Build data expertise, best practices and own data quality for all analytical data needs