Analytics Engineer Intern

Lacework is the data-driven security platform for the cloud. The Lacework Cloud Security Platform, powered by Polygraph, automates cloud security at scale so our customers can innovate with speed and safety.

At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.

Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right—all while building bonds of teamwork and friendships that last a lifetime. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.

The Data team is central to Lacework, and collaborates across multiple domains to ship value through data analysis and modeling. Our work contributes directly to delivering the core data-driven products and features that Lacework offers to its customers, as well as improving and optimizing the technologies and processes that the company relies upon.

The Role: We are looking for an Analytics Engineering Intern to join our Analytics Engineering team. This is a hands-on role where you will be responsible for executing on projects with tangible deliverables for the company and to our customers. You will be expected to:

• You will be exposed and have the opportunity to be hands-on with the modern data stack - Fivetran, Portable, dbt, snowflake, BI Tools (ex - Tableau, Looker etc.), HEX, Hightouch.
• You will employ SQL and dbt framework to modularize and centralize the analytics code to provide a single source of truth for metrics, insights and business definitions.
• You will be deeply involved and hands-on with the dashboard development in the BI tool and exposed to various metrics and insights from several business domains (like finance, sales, marketing, customer success, etc.).
• Build strong cross-functional partnerships & collaborate with multiple stakeholders.
• Demonstrate effective communication to present your work to data organization & leadership
• Eager to learn and explore new tools and technologies.

Minimum Qualifications

• Currently enrolled in a degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, or other related fields).
• Experience in data analysis and strong hand-on experience working with SQL.
• Experience in writing SQL queries and building data models (preferably exposure to Dimensional data modeling).
• Experience in building dashboards in BI tools. (Ex - Tableau, Looker, Sigma, ThoughtSpot etc).

Preferred Qualifications

• Everything listed in Minimum Qualifications.
• Experience with data analysis building dashboards.
• Experience in working with Cloud Data Warehouse such as Snowflake and BigQuery.
• Experience in Cloud Security or Infrastructure Security.