Overview:

We are seeking an Analytics Engineer to join our growing Data team. This role will report to the Director of Data and collaborate closely with a Senior Analytics Engineer, a Staff Data Scientist, a Junior BI Analyst and a Data Agency.

In this role, you will work with a diverse range of business stakeholders from various departments including Ecom, Retail, Planning, CRM, Wholesale, Operations, Finance, Merchandising, and Marketing.

Responsibilities:

• Build and Maintain Data Models
• Design, develop, and maintain data models using dbt, following industry best practices and Kimball methodology.
• Transform raw data into analytics-ready datasets that power business intelligence dashboards and reports.
• Implement and maintain data testing frameworks to ensure data quality and reliability.
• Document data models, transformations, and business logic to ensure knowledge sharing across the team.
• Optimize data models for performance and efficiency.
• Collaborate with Business Stakeholders
• Partner with business teams to understand their data needs and translate requirements into technical specifications.
• Design and implement data models that support various business use cases and KPIs.
• Provide guidance on data modeling best practices.
• Participate in code reviews and contribute to the team's technical standards.
• Support Data Engineering and BI Initiatives
• Assist with data pipeline maintenance and troubleshooting using tools like Fivetran and GCP.
• Support the development and maintenance of business intelligence dashboards using Sigma Computing.
• Help maintain data observability using Metaplane to ensure data quality and reliability.
• Contribute to data governance initiatives and ensure compliance with data privacy regulations.

Requirements:

• 2-4 years of experience in analytics engineering, data engineering, or similar role.
• Strong proficiency in SQL and dbt (Python experience is a plus).
• Experience with data modeling and dimensional modeling concepts.
• Familiarity with version control systems (Git) and CI/CD practices.
• Understanding of data warehouse concepts and experience with cloud platforms (preferably GCP).
• Experience with BI tools (Sigma Computing experience is a plus) and Excel/Google Sheets.
• Strong communication skills and ability to work effectively with cross-functional teams.
• Basic understanding of retail/e-commerce metrics and KPIs.
• Passion for building scalable and maintainable data solutions.
• Enjoy collaborating with business stakeholders and understanding their needs.
• Strong attention to detail and take pride in writing clean, well-documented code.
• Eager to learn and adapt to new technologies and best practices.
• Experience working in a fast-paced retail or e-commerce environment.

At Veronica Beard, we are committed to creating and maintaining a workplace where every single employee can thrive and feel valued. As a company, we firmly believe that there is strength in diversity. We seek to recruit talent from a variety of perspectives and backgrounds and are actively seeking candidates with a dedication to advancing equity, inclusion, and racial and social justice in their work.

Veronica Beard is committed to an environment of mutual respect and is an EEO/Affirmative Action Employer. No employee or applicant is discriminated against because of race, color, sex (including pregnancy), age, national origin, religion, sexual orientation, gender identity, gender expression, parental status, status as a veteran, and basis of disability or any other federal, state or local protected class.