Senior Data Analyst

Purple Carrot

United States

Hybrid

USD 95,000 - 115,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
FSA
Life insurance
401(k) matching
Paid time off
Delivery credits
Professional development
Team collaboration

Job summary

Purple Carrot is seeking a Senior Data Analyst to join a mission-driven Data team. You will partner with senior leadership, turning complex data into clear insights to guide strategic decisions.

In this hybrid role, you will build dashboards and models in SQL/Python, train teams, and lead forecasting initiatives, collaborating across marketing and other departments to maximize business impact.

Qualifications

  • 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.
  • Proficient in SQL for data querying and transformation.
  • Experienced with data visualization tools Looker/Omni/Sigma.
  • Able to commute to Dedham, MA office 3 days per week.

Responsibilities

  • Query and analyze large datasets to extract and communicate meaningful insights.
  • Build and maintain interactive dashboards and reports using SQL, Python, and BI platforms (Looker, Omni, Sigma).
  • Build and apply machine learning models in Python—from predictive modeling to clustering and regression.
  • Train and support teams on data assets to enable self-serve analytics.
  • Own forecasting and experimentation initiatives end-to-end, from design to measurement.
  • Partner with stakeholders across the business to understand needs and provide data-driven solutions.
  • Produce reports and visualizations for leadership to influence decisions.
  • Monitor and report on KPIs and emerging trends.
  • Assist with ad hoc projects as necessary.

Skills

SQL
Python
Excel

Education

Bachelor's degree in a quantitative field

Tools

Looker
Omni
Sigma

Job description

Description

We are looking for a Senior Data Analyst to join our mission-driven team. As an integral part of the Data department, you will partner with the Sr. Manager, Data and Analytics and work to inspire people to eat more plants through data-driven insights.

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 high-visibility role partners directly and frequently with senior leadership, translating data into high-quality analysis to support business decisions. You’ll also work closely with marketing and other teams 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.

Location
  • This role is based in Dedham, MA, 3 days per week in the office.
  • Our hybrid approach includes 3 in-office days each week, giving teams flexibility and collaboration.
On the Plate
  • 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 can 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 their needs and provide data-driven solutions.
  • Produce clear reports, visualizations, and presentations for leadership, influencing decisions without formal authority.
  • Monitor and report on key performance indicators and emerging trends.
  • Assist with ad hoc projects and tasks as necessary.
Main Ingredients for the Role
  • 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 per 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.
Extra Special Sauce
  • A collaborative team player who thrives on a small analytics team.
  • You love teaching almost as much as you love a clean dataset—nothing makes you happier than watching a teammate go from confused to confident.
  • You have opinions and are not afraid to share them—pushing back when it’s the right call.
  • You are adaptable to a fast-paced working environment with changing priorities based on business needs.
  • Genuine curiosity about the “why” behind the numbers, not just the “what.”
  • Experience with dbt or modern data stack tools is a plus.
Compensation

The anticipated base salary range for this role is $95,000 - $115,000. Compensation is based on experience and qualifications, and the posted range is not a guarantee of any specific offer.

Garnish

Benefits include medical, dental, vision, FSA, life insurance, a matching retirement plan, generous and flexible paid time off, Purple Carrot box delivery credits, professional development, and collaboration with teammates who are passionate about food.

Final Touches

We are committed to a safe and inclusive work environment, free of discrimination based on race, color, religion, sex, gender identity or expression, sexual orientation, genetics, national origin, ancestry, age, medical condition, mental or physical disability, handicap, veteran status, or marital status.

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