About Us:

Honeylove is a venture-backed DTC startup founded by EDM artist Betsie Larkin, who has released multiple Top 40 hits and has toured with Armin van Buuren, Ferry Corsten, Paul van Dyk, ATB, and others. After searching high and low for quality shapewear that made her feel confident on stage, Betsie decided to create her own line of stage-worthy shapewear and launched the brand in 2018.

Since then, Honeylove has expanded to tops, bras, and many other garments that have set new standards in their segments. We apply a technical and artistic approach to problems we see in the fashion industry, creating products that serve our customers of all shapes, sizes, and backgrounds.

Honeylove grew quickly over the past couple of years and has attracted a customer base approaching 2 million, as well as earned praise from countless publishers (eg: New York Times, Good Morning America, etc). SimilarWeb called Honeylove one of the fastest growing large DTC brands, and the company received funding from top investors such as Lightspeed, Y Combinator, and Serena Williams. Most importantly, Honeylove is profitable despite continuing to grow at a rapid pace.

About This Role:

The Analytics Engineer position will manage and govern data at Honeylove. The position requires having a strong background with BI Platforms, data governance, and data connectors, with extensive knowledge of Google Big Query, Sigma (or similar BI platforms), DBT, JavaScript, and SQL. The Analytics Engineer will assist with maintaining our data warehouse and internal schema. This position requires hands-on operational skills which will grow with the department.

Responsibilities:

• Work with organizational stakeholders to understand their data visualization needs and develop solutions to meet those needs.
• Utilize Google Big Query, Sigma, DBT, JavaScript, and SQL to facilitate advanced data analysis and reporting.
• Assist in Implementation and maintenance of data pipelines, ensuring data integrity and accuracy.
• Collaborate with dedicated contractors and colleagues assisting in day-to-day activities.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Minimum of 2 years of experience working with data.
• Strong knowledge of Google Big Query,Sigma (or similar BI platforms), DBT, and SQL.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.

KPIs:

• Work with internal stakeholders to define and present important company metrics.
• Build, maintain, and review dashboards for the company and departments.
• Ensure high-priority Marketing requests are completed in a timely manner.
• Encourage adoption of our BI and data tools via training and ongoing support.

If you are passionate about building and developing strong teams, and are committed to creating a diverse and inclusive workplace, we want to hear from you!