Analytics/Data Engineer


Position Type

The Role

Veronica Beard is an elevated American ready-to-wear brand that strikes the balance between cool and classic. The brand provides a modern perspective on iconic wardrobe pieces and delivers a lifestyle offering that has expanded to include jeans and shoes. Thoughtfully designed with feminine silhouettes and refined tailoring, the collection is intuitively built for real life – empowering her from day to night, work to weekend, and everywhere in between.

Veronica Beard is seeking a passionate Analytics/Data Engineer to work closely with our Data Analyst, Marketing, Planning, Operations and Finance teams. This role will also work closely with leadership to design, build, manage, and analyze our data. This role will be responsible for maintaining and enhancing our end-to-end analytics infrastructure, keeping data flowing into our warehouse, transforming, and modeling the data, managing our dashboards, and running ad-hoc queries and analysis. This role reports directly to the Data Analyst.


Work with leadership to understand all analytics requirements in the company and develop a prioritized plan to address company requirements.
Own the ELT process, data pipelining, dbt transform, data validation, and model documentation. Ensure that best practices are being followed and that both short term and long-term requirements are considered.
Translate business requirements into performant data models and data visualizations.
Involve in Design, development, and maintenance of Data Warehouse environment.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.


3+ years of experience as an Analytics/Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ELT processes using DBT
3+ years of hands-on SQL experience
3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field
Knowledge of data management fundamentals and data storage principles
Experience working on cross-functional projects and ability to communicate effectively to technical and non-technical leaders.
Experience with Direct-to-Consumer business models
Experience owning and setting up analytics workflows end-to-end preferred.
Experience working with Google Bigquery & Fivetran preferred.
Experience with a BI/Visualization tools (Bonus: Sigma Computing) preferred.
Experience with Shopify (Bonus KWI POS System) preferred.
Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
Experience with a Customer Data Platform like Segment

How to Apply

Please email with your resume, cover letter, and salary requirements and any other pertinent materials.
Please indicate the position you are applying for in the subject line.