Analytics Engineer • Mid-Level

Who you are

You have a strong background in data analytics and engineering, with experience in building and maintaining analytics data stacks. You are proficient in tools like dbt, Snowflake, and Airflow, and you understand the importance of delivering reliable insights to empower teams across the organization. You have a collaborative mindset and enjoy working with various business functions to define key metrics and improve reporting fidelity. You are detail-oriented and apply best practices for data testing and observability to ensure the reliability of your work. You thrive in a fast-paced environment and are eager to contribute to a growing team.

What you'll do

In this role, you will build, maintain, and optimize the analytics data stack, including ELT pipelines, dimensional models, and semantic layers. You will collaborate closely with Marketing, Product, Operations, and Finance teams to define key metrics and enable self-serve analytics. You will own and evolve core data models and pipelines that drive dashboards and reporting, ensuring that insights are accessible and actionable for all stakeholders. You will apply best practices for data testing, observability, and CI/CD to ensure that your work is reliable and version-controlled. Your contributions will directly impact the decision-making processes across the company, making your role crucial to Clutch's success.

What we offer

Clutch offers a competitive salary and benefits package, including healthcare, dental, vision, and life insurance. We are committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. You will be part of a dynamic team that values curiosity, hard work, and collaboration. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of every candidate to grow and succeed within our organization.