Senior Analytics Engineer at Lovevery

Lovevery is a fast-growing digitally native brand co-founded by successful serial entrepreneurs and based in Boise, Idaho. Our customers are parents, and our mission is to help them feel confident they are giving their children meaningful development experiences in the critical early years of life. Taking a science-based approach, Lovevery products have won awards from Red Dot, Parents’ Choice, and NAPPA. Lovevery was named one of Fast Company's 10 most innovative education companies of 2024.

About the role

This is a key role within a high performing data team, and functions as a bridge between analysts, engineers, product managers, business stakeholders, and more to ensure that the business is supplied with clean, actionable data. This can range from reporting on department or business level KPIs to translating complex analytics models into automated exploration templates for business users to better understand how they can be effective in their roles.

About you

• Domain expert: obsessed with fully understanding the most relevant problems, how they change over time, and how to help others stay on top of the most actionable data points possible.
• Results Oriented: focused on delivering data driven insights that enables others to make informed decisions.
• Organized Communicator: able to gather, interpret, and document business requirements and translate them into engineering roadmap items.

Responsibilities

• Ownership: Operate with ownership of the end deliverables of the data platform, while being able to provide thoughtful leadership and requirement gathering with upstream partners - including Data Engineering, Developers, Product Managers and business partners.
• Data Modeling, Architecture and Warehousing: Architect and optimize data models and schemas to ensure efficiency, reliability, and scalability of analytical solutions.
• Domain Expertise: Tackle multiple domains of data transformation and reporting, including revenue recognition, email metrics, website and mobile app analysis, customer retention, marketing efficiency, and more.
• Stakeholder Support: Support power users throughout the business in owning their data and learning how to surface reporting using the tools you build.
• Visualization: Develop and maintain dashboards, reports, and data visualizations to provide actionable insights to different business units.

Qualifications

• Proven experience in analytics engineering, with a strong focus on data pipeline development and optimization.
• Proven track record of designing and implementing complex data models and architectures.
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic startup environment.
• Strong understanding of advanced concepts in SQL, including under-the-hood performance implications.
• Mastery of one or more data visualization layers such as Looker, Tableau, or PowerBI.
• Strong communication skills and ability to collaborate effectively with cross-functional teams.

Nice to Haves

• dbt experience
• Looker and LookML experience

Our Benefits Include

• Competitive salary, benefits and stock option package
• Paid PTO and holidays
• Generous parental leave
• Any equipment you need to get the job done
• Remote working option anywhere in Mexico

Lovevery is proud to be an equal opportunity employer that values diversity in all forms. All employment decisions at Lovevery are based on business needs, job requirements, and individual qualifications, without regard to race, religion, national origin, sexual orientation, gender identity, HIV status, marital status, or any other status protected by the laws or regulations in the locations where we operate.