Senior Analytics Engineer

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Overview

Instacart is looking to hire a Senior Analytics Engineer to join our team to bridge the gap between business problems (and questions) and the technology required to answer them. You will sit between our Data Engineering and Data Science teams to enable the organization to make data-driven decisions. You will build high quality, robust data models to be used across the company by both technical and non-technical stakeholders. We’re looking for a self-driven, strategic thinker with strong product and technical skills to build on Instacart’s Data Foundations.

About the Job

Design, create and maintain analytics friendly datasets, broadly and easily consumable by technical and non-technical stakeholders.
Take part in cross functional scoping / design meetings and collaborate on infrastructure projects
Apply software engineering best practices to analytics processes. (ex. DBT, Airflow)
Establish best practices for data warehousing and pipelining
Coach Data Scientists, Analysts, Software Engineers on data modelling best practices
Work with Engineering and Data Science teams on pilot projects and “0 to 1” initiatives
Serve as Data Model/Sources subject matter expert for your given org/domain
Play the role of both Librarian and Editor of data in your domain

About You

5+ Years experience working in an analytical or software role.
Ability to translate business needs into analytical frameworks
Ability to write complex, efficient and eloquent SQL queries.
Ability to write well structured and efficient Python code
Passion for the organization and use of data to drive strategic product decisions
A desire to build and improve consumer software products
Experience working with technical and non-technical stakeholders. Able to translate technical concepts to those with a variety of technical backgrounds.
Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

Preferred Qualifications

Experience with Airflow, DBT and Jinja
Experience working with or as a Data Scientist or Analyst in eCommerce
Experience with Snowflake (Querying and ELT optimizations)

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