Analytics Engineer - job 1 of 2

As an Analytics Engineer at Fetch, your main responsibilities include modeling and analyzing data using SQL for optimal query performance, leveraging tools like DBT and Snowflake for data management, generating insights from extensive datasets, and communicating findings to a broad stakeholder audience. You'll also oversee data quality and infrastructure tasks related to Snowflake, Tableau, and DBT/Airflow.

Candidates seeking the Analytics Engineer position at Fetch should be proficient in SQL, have experience with data modeling and orchestration tools, and possess a solid understanding of ETL/ELT processes and business intelligence tools. Additional experience in managing cloud resources using AWS, Azure, or GCP is preferred, alongside familiarity with programming languages, specifically Python.

Fetch is dedicated to fostering employee growth by providing substantial continuing education reimbursement of up to $10,000 per year. As an Analytics Engineer, you will have access to innovative tools and tech, along with opportunities to experiment and share your findings with the team, encouraging a culture of learning and development.

At Fetch, Analytics Engineers can enjoy a flexible work environment. Whether you prefer collaborating in one of our beautiful offices in Madison, Birmingham, or Chicago, or you opt for a fully remote setup from anywhere in the U.S., we provide the necessary equipment and resources to ensure you are well-equipped for success.

Fetch provides a competitive compensation package that includes equity, a robust 401k match program, comprehensive medical benefits for employees and pets, generous paid time off, and extensive parental leave policies. These benefits reflect Fetch's commitment to a supportive and inclusive workplace culture.

In answering this question, highlight your understanding of SQL best practices, including indexing and structuring data for optimal query performance. Discuss your approach to modeling datasets, focusing on specific tools and techniques you have employed to enhance speed and efficiency.

When discussing your experience, provide specific examples of projects where you utilized DBT or Airflow for data orchestration. Explain how these tools helped streamline your processes, and include insights on any challenges you faced and how you overcame them.

Focus on your strategies for monitoring data health and implementing quality assurance processes. Discuss the tools you use to maintain data integrity and how you document any data issues or discrepancies for future reference.

When answering, emphasize your ability to tailor your communication style based on the audience's knowledge level. Include how visualization tools, such as Tableau, play a role in presenting data findings clearly and effectively to ensure all stakeholders grasp the key insights.

Share a specific project where you defined ETL or ELT processes, detailing the purpose, challenges, and outcomes. Make sure to illustrate your understanding of the differences between the two processes and how they applied to your project.

Provide a detailed story about identifying data discrepancies, explaining your analytical approach and the steps you took to resolve the issues. Highlight your collaboration with V stakeholders to ensure ongoing data accuracy.

Discuss your experience deploying cloud resources with focus on AWS, Azure, or GCP. Provide specific examples of how you utilized cloud storage, compute instances, and databases effectively within your data projects.

Talk about your organizational techniques, such as using project management tools or agile methodologies to balance responsibilities. Emphasize your communication skills in coordinating efforts with team members and ensuring deadlines are met.

Share specific instances where you introduced new methods, tools, or techniques that improved data analysis efficiency or accuracy. Discuss the outcomes and any measurable impact your innovations had on the organization.

Be honest about your aspirations in the field of analytics. Whether you wish to specialize in a certain area, move into leadership, or continue learning about emerging tools and technologies, communicate your goals alongside how Fetch can help you achieve them.