Job Title

As an Analytics Engineer, you will be responsible for developing and maintaining our data transformation layer, ensuring data quality, and optimizing data pipelines for our analytics, reporting, and data science teams. You will work closely with our cross-functional teams to ensure that our data is accurate, reliable, and accessible. You will also be responsible for identifying opportunities to improve our data infrastructure and recommending new technologies and tools. Now, if you were to come on board as one of our Analytics Engineer, we’d ask you to do the following for us:Develop and maintain data transformation pipelines using dbt to support our analytics, reporting and data science teamsEnsure the accuracy, completeness, and consistency of our data by implementing data quality checks and processesOptimize data pipelines for performance and scalability, ensuring that our data is accessible and usable for our cross-functional teamsCollaborate with cross-functional teams to identify and solve data-related problems and provide insights on data infrastructure improvementsMonitor and troubleshoot data pipeline issues and work to resolve them in a timely mannerDevelop and maintain technical documentation for our data infrastructure, including data models, schema definitions, and transformation processes Think you have what it takes to be our Analytics Engineer? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role.Bachelors degree in Computer Science, Software Engineering, or a related field3+ years of experience in analytics engineeringStrong programming skills in SQL and Python, experience with dbt is a bonusExperience with data modeling, database design, and data warehousing conceptsStrong problem-solving and analytical skills with a keen attention to detailStrong communication and collaboration skills with the ability to work effectively in a team environment