Analytics Engineer

Purple Carrot•Dedham, MA

31d•$90,000 - $100,000•Hybrid

About The Position

Purple Carrot is seeking an Analytics Engineer to join their mission-driven team. This role is an integral part of the Data team, working alongside the Senior Analytics Engineer to inspire more plant-based eating. The position will focus on building and maintaining resilient, scalable data pipelines and company-wide data infrastructure. This infrastructure will empower employees to better understand, manage, curate, and analyze data relevant to their work. The Analytics Engineer will be responsible for maintaining and improving data pipelines, supporting data systems and analytics, and developing rigorous data products within their modern data stack. This role involves synthesizing feedback from various business teams and translating data needs into reliable, well-documented solutions to enhance business insights and performance.

Requirements

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.

Nice To Haves

Experience working in or supporting a B2C subscription business model.
Comfortable working within an established data framework while driving execution independently on defined workstreams.
Strong curiosity and ability to translate business questions into clear, scalable data solutions.
Excitement for working in a dynamic environment where data helps teams make faster, smarter decisions.
You enjoy documentation, process improvement, and building systems that make work easier for others.

Responsibilities

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.