1stDibs is a leading online marketplace for connecting design lovers with highly coveted sellers and makers of vintage, antique and contemporary furniture, home décor, art, jewelry, watches and fashion.

We are looking for a Sr. Data Analyst, Marketing Analytics to join the wider Analytics team - reporting to the VP of Analytics - and work closely with our Marketing organization. In this role, you will work cross-functionally and partner with key stakeholders to measure and quantify marketing initiatives here at 1stDibs.

As a Sr. Data Analyst, Marketing Analytics you will work closely with the CMO and VPs/Directors across Merchandising, Integrated Marketing, Lifecycle Marketing, Paid Marketing and SEO, in their day-to-day operations. You will acquire an intimate understanding of 1stDibs’ data resources to critically evaluate business requirements for analyses and reporting. Challenges you will need to tackle will include measuring ongoing marketing campaigns to ensure efficient performance, informing campaign audiences by understanding customer behaviors, developing frameworks for email AB test experiments, helping spot merchandising trends and identifying areas of the site that are seeing success from an SEO perspective.

In this role, you will have the opportunity to learn and develop expertise around how a luxury e-commerce marketplace leverages analytics to drive decisions. You will be a self-starter who can jump in without being asked, see the big picture but pay close attention to detail, and demonstrate strong verbal and written communication skills. You will be diligent in your work and have a passion for process. You will be passionate about using data to drive business decisions and have experience working with various stakeholders and cross-functional teams. To be successful you will have a working knowledge of SQL, a natural flair for interpreting data and an all-around passion for numbers!

We have a startup culture that is constantly evolving so comfort with ambiguity is very important. In exchange, you’ll be given the opportunity to work with and learn from some of the most passionate, driven and creative people assembled under one roof.

What you’ll do

• You will provide scalable reports, dashboards and visualizations that inform key stakeholders from the Marketing organization - as well as the wider business leadership - and drive business processes
• You will own the standardized analysis of marketing campaigns across the various marketing channels
• You will prepare trend analysis and investigative reporting for marketing teams and senior management
• You have translated business requirements to inform our database management & engineering teams on building relevant and efficient data models in Snowflake
• You have served as a cross-functional partner to collaborate with various business teams to drive new data initiatives
• You have ad hoc support for Looker-based queries to help colleagues self-serve their own data more efficiently

What you'll bring

• B.A. | B.S. in a quantitative field; mathematics, statistics, economics, business, etc
• 3+ years of professional experience in Marketing Analytics and/or Data Analysis in an e-commerce or retail environment alongside a marketing team
• You are a critical thinker who has proven experience gathering, evaluating, prioritizing, and documenting business requirements, for analyses and reporting needs
• You have solid planning, priority setting, and project management skills with experience managing multiple projects concurrently
• You have strong understanding and experience with core marketing analysis concepts such as AB testing frameworks, campaign measurement/incrementally methodologies and working with seasonality
• You have familiarity with business intelligence solutions; Looker preferred but Tableau, Power BI, etc also fine
• You are proficient with various analytical toolkits; SQL is a must, SAS is preferred, and Python or R experience would be useful
• You are comfortable with large, complex relational databases (both transactional and analytical) and nested tables (Snowflake, BigQuery, Redshift)
• You have analytic curiosity and comfortable working in a continually evolving, fast-paced, cross-functional environment