​This is a full-time, 100% remote Senior Data Analyst role at Misfits Market, an e-grocer focused on sustainability. This position serves as the company’s go-to expert on experimental design and causal inference. The analyst will drive the experimentation culture by designing, evaluating, and interpreting A/B tests across Product and Marketing, while also managing stakeholder dashboards and mentoring junior analysts.

• ​Location: 100% Remote Work.
• ​Salary Range: $120,000 – $135,000 annually.
• ​Experience/Education: Master’s degree (Data Science, Statistics, or related) with 3+ years of experience, OR Bachelor’s degree with 5+ years of experience.
• ​Focus: A/B testing, causal inference, advanced SQL, statistical programming (Python/R), and building internal frameworks using dbt (data build tool).

​Key Responsibilities: Experimentation and Infrastructure

​The role balances advanced statistical work, technical data modeling, and team mentorship.

• ​Own Experimentation Analytics: Design, monitor, and interpret A/B and multivariate tests across Product and Marketing.
• ​Business Translation: Translate experimental results into clear, actionable business recommendations.
• ​Develop Frameworks: Build dbt models and dashboards that automate experiment tracking, power statistical analyses, and improve result interpretability.
• ​Mentorship: Mentor analysts on best practices for causal inference, power analysis, metric selection, and communicating uncertainty.
• ​Improve Data Infrastructure: Maintain and improve dbt models, metrics definitions, and self-serve data assets.
• ​Advanced Analytics: Identify opportunities to move from descriptive to predictive analytics and from ad-hoc to self-serve reporting.

​Required Skills and Expertise

​The position requires deep analytical and technical skills, coupled with strong communication ability.

• ​Statistical Expertise: Deep understanding of experiment design, causal inference, and statistical testing.
• ​Programming (Mandatory):
  • ​Expert-level SQL skills (comfortable writing complex queries and optimizing for performance).
  • ​Proficiency with Python or R for statistical analysis.
• ​Data Tools:
  • ​Experience with dbt and data modeling best practices.
  • ​Experience with visualization tools (Mode, Tableau, PowerBI, etc).
• ​Soft Skills: Strong communication skills for gathering user stories and translating data insights to stakeholders of varying technical knowledge.
• ​Industry Preference: Prior experience in e-commerce or lifecycle marketing is a plus.