Senior Analytics Engineer

About Cherry

Started in 2019, Cherry is an extremely fast growing FinTech that has built the simplest, fastest, and most inclusive Buy Now, Pay Later solution for medical practices such as dentists, medical aesthetics, veterinarians etc.

Cherry enables medical practices to treat more patients by making their services more financially accessible.

Cherry was founded and is led by Stanford entrepreneurs with a previous successful exit and backed by an all-star lineup of investors such as Kleiner Perkins and DCM.

​​As a Senior Analytics Engineer at Cherry, you will be a founding member of our Analytics Engineering function. You will play a pivotal role in our data strategy, creating and maintaining scalable data models that drive optimized data integrity, usability, and  consistency.

We are looking for a highly analytically driven individual who is passionate about data and excited to join an organization that puts data at the core of all of our decision-making. Your expertise in developing and implementing robust data infrastructure will make a direct impact on our ability to unlock action-oriented insights in many areas across the business.

Responsibilities:

1. Data Modeling:

   • Create and maintain intermediate data models that optimize the retrieval of data for analytics purposes.

   • Develop and implement data structures that align with the organization's data strategy and requirements.

2. Collaboration:

   • Collaborate with cross-functional teams, including data analysts and business stakeholders, to understand data needs and requirements.

   • Actively participate in discussions to gather insights and provide technical perspectives on data-related projects.

3. Database Solutions:

   • Design and implement database solutions to ensure data integrity, security, and optimal performance.

   • Work on continuous improvements to enhance the efficiency and scalability of data systems.

Qualifications:

1. Education:

   • Degree in Computer Science, Engineering, Statistics, or a related field (strongly preferred)

2. Technical Skills:

   • Strong knowledge of SQL and demonstrated ability to write efficient SQL queries.

   • Experience with the modern data stack, specifically dbt (we also use Snowflake, Fivetran and Airflow)

   • Familiarity with a variety of Business Intelligence (BI) tools and experience in distributing data insights via reports and dashboards.

3. Professional Experience:

   • Track record of shipping high-quality products and features at scale.

   • Ability to thrive in a fast-paced, constantly improving startup environment, focusing on solving problems with iterative technical solutions.

4. Nice to Have:

   • Strong perspective on analytics engineering development cycle, including data modeling, version control, documentation + testing, and best practices for codebase development.

   • Previous experience within the payments and financial technology space.

Cherry provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.