Scalability Analytics Lead

Summary

Join Instacart's Scalability team as an Analytics Manager and play a crucial role in designing, developing, and maintaining data pipelines, web applications, dashboards, and self-service data tools. You will support the Commercial organization by building scalable solutions to enhance operational efficiency and unlock value from data assets. This role requires strong proficiency in SQL and Python, experience with data modeling and visualization tools, and excellent communication skills. The position offers a competitive salary and benefits package, including equity grants, and is remote.

Requirements

• 5+ years of experience in data engineering, data analytics or a related field
• Strong proficiency in SQL and Python, with experience building and maintaining data pipelines and ETL processes
• Proficiency in data modeling and working with tools like dbt
• Familiarity with cloud data warehouses (e.g., Snowflake) and data pipeline orchestration tools (e.g., Airflow)
• Experience with visualization tools such as Tableau or Mode
• Ability to thrive in a dynamic environment, adapt to changing priorities, and solve complex problems
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences

Responsibilities

• Build and maintain robust data pipelines and data models using tools like SQL, Python, and dbt, ensuring high data integrity and performance
• Create and maintain dashboards and self-service tools using visualization platforms like Tableau or Mode to provide actionable insights that drive business decisions
• Collaborate with teams such as sales, product, engineering, and data science. Understand their needs and deliver solutions to meet business objectives
• Implement automation solutions and explore the integration of AI capabilities into data tools and applications to enhance productivity and decision-making
• Be a strategic partner for the business: Identify opportunities and create solutions to automate and scale ad hoc requests

Preferred Qualifications

• Experience with web application development or a strong desire to learn
• Familiarity with AI and machine learning concepts and their application in data tools
• Experience with scalable data solutions and deployment
• Previous experience in e-commerce, retail analytics, or advertising technology
• Proven track record of contributing to projects that improve operational efficiency and impact revenue

Benefits

• Highly market-competitive compensation and benefits
• Remote work
• Equity grant
• Annual refresh grants