Description
We are seeking a Senior Analytics Engineer to play a key role in advancing Trove Brands' analytics and data strategy. This individual will help drive data governance, data quality, and scalable analytics solutions while serving as a cross-functional data champion across the organization.
Responsibilities:
- Provide recommendations to enhance the company's Analytics strategy, including adoption of new tools and processes.
- Help develop, implement, and maintain best practices for data governance and data quality.
- Provide training and mentorship for Analytics Engineers and Analysts throughout the company.
- Develop data analysis and reports, including high-visibility, cross-departmental dashboards.
- Perform data modeling and ETL development, ensuring accurate and quality data for Trove reporting needs.
- Become a data champion, forging connections between departments and business processes to steer data-driven improvements at an organizational level.
- Communicate recommendations for change based on personal analysis and investigated trends.
Requirements:
- Advanced SQL experience, including expertise querying, optimizing, cleaning, and validating large volumes of data.
- Data modeling and data warehouse development experience, particularly with modern cloud-based technologies (Snowflake preferred).
- Solid programming skills with Python or other programming languages.
- Experience with GitLab or other version control systems.
- Experience with Airflow or other orchestration platforms.
- Experience working with modern AI tools (Claude Code, Cursor, etc.).
- Ability to create compelling and easy-to-understand data visualizations.
- Proven ability to implement and maintain complex BI solutions.
- Proactive work ethic and ability to work in a highly collaborative environment.
- Fast learner who can gain a deep understanding of business processes and solve problems quickly with minimal supervision.
- Prior analytics experience in areas such as ERP (Acumatica preferred), Finance, Supply Chain, Sales, or Marketing is a plus.
- Experience with predictive analytics is a plus.
- Highly proficient with Microsoft Office suite.
- Strong written and oral communication skills, including the ability to clearly explain technical details to a non-technical audience.
- Exhibit professionalism while dealing with customers and coworkers, including confidentiality.
Benefits:
- Comprehensive medical, dental, and vision care
- 401k package with employer matching
- Paid Time Off
- Maternity/Paternity leave
- Full indoor basketball/volleyball court
- Fully equipped fitness center
- Yoga studio
- Meditation/Nap room