Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.
Here at Lucid, data is key to making decisions that improve the product for our users, fuel the growth of the business, and allow the company to operate efficiently. As an Analytics Engineer Intern, you will help design, build, and maintain our analytics data warehouse, which is used across the company to quickly and accurately answer important questions that drive impact. This includes cleaning, testing, documenting, and modeling data, as well as the systems that orchestrate our production data pipelines. You will get to work with data from a variety of sources, including clickstream data, CRM systems, marketing platforms, subscription and payment data, and support tickets. Our data stack consists of Stitch, Fivetran, Airflow, Snowflake, Databricks, dbt, and Hightouch. In this position, you will focus on SQL-based data transformation in Snowflake and dbt.
This role is part of the Strategy and Analytics team, which supports the data and decision-making needs of every other function at Lucid. As such, you will have many opportunities to work cross-functionally with other teams. For example, you may work with data engineers on the ingestion of a new data source into our data warehouse or on moving data from the warehouse to other systems. You may also work with business leaders and stakeholders to help them self-serve to meet their own data needs or to automate a manual process. You may work closely with analysts on the Strategy and Analytics team to understand business needs and craft data sets to meet those needs. While analysts also contribute to data modeling, testing, and documentation, you will be an advisor and advocate in ensuring that we follow best practices and a technical expert when analysts run into difficult and complex data challenges.
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