Job Title: Data Analyst Contractor
Company: Instacart
Location: United States
Description:
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. Learn more about our flexible approach to where we work.

Overview

About the Role - As a Data Analyst operating within our highly efficient contractor team, you will play a crucial role in collecting, analyzing, and interpreting data to drive insights and improvements for our off-platform advertising business. You will use your expertise in SQL, Python, and data tools to support existing delivery responsibilities, contribute to automating manual workflows, and optimize our data portfolio managed by the Ads CATS team.

About The Job

Audience Enablement: Utilize internal tooling to manage the day to day operations of building audiences used for off-platform advertising. Leverage SQL expertise to write code required to enable custom audience requests.SQL Expertise: Utilize efficient SQL writing and querying techniques to troubleshoot issues directly within the Snowflake data warehouse. Optimize queries for performance and maintainability.Data Analysis and Research: Collect, analyze, and interpret data to identify trends and patterns affecting our Off-Platform audiences. Work with the core CATS team to research new audience segmentation methodologies.Cross-Functional Collaboration: Collaborate with teams across different functions to support off-platform audience enablement. Identify process improvement opportunities and provide regular recommendations to enhance data-related processes.Scripting and Automation: Execute Shell/Python scripts using command line tools to fulfill off-platform audience enablement. Leverage Python scripting to automate tasks and processes.Product Support and QA: Work with CATS developers to perform technical QA on automation tools and frameworks. Provide product feedback, design recommendations, and feature requests.Process Improvement: Continually evaluate operational processes to identify areas of improvement and implement changes that enhance operational effectiveness.

About You

Minimum Qualifications


Bachelor’s degree or equivalent work experience (4 years) in a relevant business/domain.
2+ years of hands-on experience with SQL, Data Manipulation, and Data Analysis.
2+ years of experience applying Python (NumPy, Pandas, Other common libraries) programming to solve business challenges.
2+ years of experience working with cloud data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
Capable of collaborating effectively in team environments, especially on large/complex projects.


Preferred Qualifications


Experience working in digital advertising, ad technology, or retail media networks
Development experience with Python, including working with APIs, building data pipelines, authentication, file handling, and raw data manipulation is a plus
Experience with audience segmentation methodologies
Exposure to working with large data platforms and handling sizable datasets


This contract will be 6+ months and will compensate $70-90/hour depending on experience.
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