Sorry. This page is not yet translated.

Allows customers to order groceries from their favorite local stores and have them delivered instantly.

Senior Data Analyst, Catalog
San Francisco, CA, US
Job Description / Skills Required

Since Instacart started in 2012, we’ve expanded to 190+ markets and partnered with 150+ retailers across the U.S. Our mission is to transform everyday life by seeking & solving seemingly impossible problems. Instacart is a technology company that offers a platform connecting grocery shoppers with customers -- the only one affording delivery in as little as one hour. By combining a personal touch with cutting-edge technology, Instacart offers customers a simple solution to save time and buy directly from the retailers they trust. We give customers back their time so they can do more of what they love.

You will be joining our growing analytics team and you will have a chance to make a large impact at Instacart. You will be embedded within our data driven product team to identify key metrics, conduct deep and rigorous analysis, and deliver insights to the team to drive product improvement. You will be a trusted partner in the team tackling the toughest and most impactful analytical problems while making the data accessible to your teammates. More details on what you’ll be doing:


Conduct quantitative research and analysis of our catalog data requiring complex data retrieval that results in actionable insights and recommendations
Identify key questions, problems, and KPIs to increase the depth of our catalog and improve the experience of our customers using your sharp business acumen and judgment
Help develop effective and scalable data models in our production environment and develop, build, and maintain a user friendly version of our catalog in our data warehouse
Work daily with product managers and engineers to discover and guide the most impactful product investments
Design and analyze rigorous A/B experiments
Provide access to data through dashboards and other analytical tools to empower your team through self service. Look for opportunity to automate insights through alerting and anomaly detection

Passion for, and a track record of leveraging data for business impact, preferably in a consumer facing digital environment
Ability to write complex and performant queries in your dialect of SQL to extract data from our Redshift cluster
Experience building tools and automated processes to extract, clean, and distill data in a procedural language of your choice such as Python, Julia or R
Understanding of A/B testing and other forms of statistical analysis using statistical packages similar to R, SAS, or Pandas
Experience with analytical visualization tools such as Tableau, Looker, D3.js or similar tools
Excellent communication skills with the ability to distill complex problems into meaningful and digestible insights

Data modeling, ETL and data pipeline development experience
Previous experience with cleaning, integrating, and maintaining diverse data sources into a cohesive product catalog
Understanding of advanced analytical techniques to identify trends and groupings in our vast catalog data
Advanced degree in statistics or other quantitative field

In your application, please describe the most impactful research project you have been a part of. Describe the problem, outcome/impact and your role in the project.


Talented and collaborative coworkers who will both push and support you
Personal growth plans that let you stretch yourself or grow in new directions
Market competitive salary, equity
Medical, dental, vision benefits and 401(k) retirement plan
Great office in downtown SF
Take what you need vacation ( and we really mean it )
16 weeks maternity leave / 8 weeks paternity leave so you can truly bond with your child