Analytics Engineer at Honeylove

Honeylove is a venture-backed direct-to-consumer brand that started in 2018 when our founder, EDM artist Betsie Larkin, decided to design her own high-quality shapewear. Since then, we have grown into a major fashion label offering bras, tops, and various garments that serve customers of all backgrounds. We are proud to be a profitable company with a customer base nearing 2 million people. Our rapid growth has been recognized by outlets like the New York Times and Good Morning America, and we are backed by prominent investors including Y Combinator, Lightspeed, and Serena Williams. We take a technical and creative approach to solving fashion industry challenges, and we are looking for talented individuals to join our mission.

About the Role

We are looking for a Mid-Level Analytics Engineer to join our team on a Full Time basis. In this role, you will be responsible for managing and governing our data infrastructure. You will work closely with our data warehouse and internal schema, utilizing your technical expertise to support our growing department. This is a hands-on position that requires a strong command of BI platforms and data connectors.

Key Responsibilities

• Partner with stakeholders across the organization to identify their visualization needs and build effective reporting solutions.
• Leverage Google Big Query, Sigma, DBT, JavaScript, and SQL to perform advanced analysis and maintain data integrity.
• Design, implement, and maintain robust data pipelines while collaborating with colleagues and contractors to manage daily operations.

Requirements

• A Bachelor's degree in Data Science, Computer Science, or a related technical discipline.
• At least 2 years of professional experience working with data.
• Proven proficiency in SQL, DBT, Google Big Query, and Sigma or similar BI platforms.
• Strong analytical capabilities and a talent for solving complex problems.
• Excellent communication skills to effectively collaborate and support internal teams.

Location

This position is Remote and can be performed from Anywhere.

Compensation and Benefits

We are committed to supporting our team members through flexible work arrangements. This role includes the following benefit:

• Remote work flexibility.