Analytics Engineer, Purple Carrot

• 2–3 years of experience in the data space as a senior data analyst, data analyst, analytics engineer, data engineer, or equivalent role
• Bachelor’s degree in data analytics, computer science, information systems, business analytics, mathematics, statistics, or a related field, or equivalent experience
• Able to commute to the Dedham, MA office 3 days per week
• Proficiency in SQL and dbt for data transformation, automation, and modeling
• Experience building and maintaining data pipelines using modern data stack technologies such as Git, dbt, Stitch, cloud data warehouses, or similar tools
• Strong background in data quality assurance, governance frameworks, and best practices for documentation
• Experience with BI and reporting tools such as Looker, Omni, or similar platforms
• Ability to work independently on assigned workstreams while collaborating closely with a senior team member
• Excellent communication skills and the ability to work effectively in a fast-paced environment

Desirable

• We are looking for an Analytics Engineer to join our mission-driven team
• As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants
• This position will play an important role in building and maintaining resilient, scalable data pipelines and company-wide data infrastructure that empowers Purple Carrot employees to better understand, manage, curate, and analyze the data most relevant to their work
• As the Analytics Engineer, you will be focused on maintaining and improving our data pipelines, supporting data systems and analytics, and helping develop rigorous data products within our modern data stack
• This role will synthesize feedback from teams across the business and help translate data needs into reliable, well-documented solutions that allow us to move faster and gain better insights into how our business performs
• Lead and contribute to the implementation and maintenance of end-to-end data pipelines and infrastructure, from ingestion through transformation and analytics
• Develop, test, and optimize data models and data warehouse architecture with a focus on performance, scalability, and reliability
• Ensure data quality through validation, monitoring, testing, and strong documentation practices
• Implement and uphold data governance standards, including data dictionaries, lineage, access controls, and clear ownership of business logic
• Build and maintain BI dashboards and reporting tools that help teams understand performance and make data-informed decisions
• Support occasional ad hoc and exploratory data analysis to help answer business questions and identify trends
• Create and maintain comprehensive documentation for data models, pipelines, reporting logic, and key data definitions
• Collaborate closely with the Senior Analytics Engineer and cross-functional partners to execute on defined workstreams within an established data framework
• Assist with ad-hoc projects and tasks as necessary