Analytics Engineer Internship 2026
Analytics Engineer Internship 2026
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Salary Not Disclosed
1 Vacancy
Job Description
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 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.
Responsibilities:
- Write complex production-quality (i.e. accurate performant and maintainable) data transformation code to solve the needs of analysts data scientists and business stakeholders
- Implement effective data tests to ensure accuracy and reliability of data and ELT pipelines
- Assist in coaching and advising analysts on data modeling SQL query structure and optimization and software engineering best practices (e.g. version control testing code deployment)
- Assist in designing and maintaining the architecture and organizational structure of our data warehouse
- Collaborate with data engineers on infrastructure projects to implement new systems/tools/processes ingest and model data from new sources and pipe data between systems
- Troubleshoot and resolve data issues as they arise
- Ensure that data systems business logic and metrics are well-documented
- Maintain the quality of our analytics codebase by cleaning up old code identifying and addressing tech debt and ensuring consistent style
- Other duties as assigned
Requirements:
- Currently pursuing graduate or undergraduate degree ideally in a technical or quantitative field
- Ability and desire to develop the technical skills needed to work with large data sets (SQL Python R)
- Comfortable using SQL for data transformations
- Ability and desire to develop familiarity with version control workflows Python or another modern programming language
- Ability to communicate clearly about data to both technical and non-technical audiences
- Detail-oriented organized and a good team player
- Passion for structure organization and efficiency down to the details (e.g. maintaining consistent naming conventions and coding style)
- This position is intended for current undergraduate or graduate students who will graduate in December 2026 or later
Preferred Qualifications:
- Passion for problem-solving - If youve ever been so absorbed in a problem that your mind couldnt rest until you figured it out youll be in good company.
- Willing to help and be helped - Our impact comes only through helping others make better decisions using data. We recognize that were stronger together - theres no shame in asking for help were not afraid to say I dont know and we actively seek feedback.
- Desire to learn - Youll often be answering questions that have never been answered before which requires a high level of intellectual curiosity and an eagerness to dive into new problems domains tools and techniques.
Required Experience:
Intern
Employment Type
Intern
