Senior Data Analyst, Purple Carrot

• 3+ years' experience as a Data Analyst, Business Analyst, or similar analytical role
• Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Data Science/Analytics) or equivalent experience
• Able to commute to the Dedham, MA office 3 days/week
• Proficient in SQL for data querying and transformation
• Skilled in Python - for advanced analysis and automation, including building and running machine learning models
• Experience with data visualization tools (e.g., Looker, Omni, Sigma)
• Strong Excel skills for analysis and reporting

Desirable

• We are looking for a Senior Data Analyst to join our mission-driven team
• As an integral part of the Data department, you will join forces with the Sr
• Manager, Data and Analytics (to whom you will also report) in our continued effort to inspire people to eat more plants!
• We are looking for candidates who are passionate about transforming and analyzing complex datasets into clear, actionable, and timely insights that drive strategic decision-making and improve business results
• As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the organization
• This is a high-visibility role that partners directly and frequently with senior leadership, translating data into high-quality analysis to support the decisions the business acts on
• You’ll also work closely with marketing and other teams across the organization to help them become proficient in the data assets you produce
• You'll be part of a small data analytics team, so your work is visible, and your voice matters
• If you are a detail-oriented problem-solver who thrives at the intersection of data, analysis, and strategy, we'd like to meet you
• Query and analyze large datasets to extract and communicate meaningful insights
• Build and maintain interactive dashboards and reports using SQL, Python, and BI platforms (e.g., Looker, Omni, Sigma)
• Build and apply machine learning models in Python — from predictive modeling (e.g., cancel/churn prediction, demand forecasting) to applied techniques (e.g., clustering, regression) that generate deeper analytical insight
• Train and support teams on the data assets you build, so they have what they need to self-serve
• Own forecasting and experimentation initiatives end-to-end, from framework design through measurement and recommendation
• Partner with stakeholders across the business to understand what they actually need and provide data-driven solutions
• Produce clear reports, visualizations, and presentations for leadership, with the ability to influence decisions without formal authority
• Monitor and report on key performance indicators and emerging trends
• Assist with ad hoc projects and tasks as necessary