Data Analyst / Engineer

Role Overview

Join our Digital team as a Data Analyst/Engineer to own both sides of the data: building the data models and presenting analysis to business stakeholders. This role will be based out of our HQ in Santa Monica, CA and report directly to our Director of Growth Marketing.

What You Will Do

Build and maintain data pipelines, design and own the transformation layer, and work in a Git-based analytics workflow. You will also build and maintain dashboards, establish KPI definitions and reporting standards, and deliver recurring reporting cadence.

Why It Might Be a Fit

You will own reconciliation across every channel revenue comes through, validate reported figures match source systems, and maintain documentation, data lineage, and metric definitions. You will also identify where AI and automation can take on repetitive data work and flag where the data cannot support a conclusion.

Requirements

• 4+ years in a data analyst, analytics engineer, or business intelligence role
• Bachelor’s degree in a quantitative field or equivalent practical experience
• Direct experience with ecommerce source data, including Shopify order and customer schemas, ad platform reporting, and an email/SMS platform
• Advanced SQL, including CTEs, window functions, and query optimization against large tables
• Hands-on experience with a transformation framework (dbt or equivalent) and a cloud data warehouse (Snowflake, BigQuery, Redshift, or Databricks)
• Fluency in a modern BI tool and the ability to build a semantic model, not just individual charts
• Understanding of ecommerce and DTC unit economics: contribution margin, CAC payback, cohort retention, and sell-through
• Working knowledge of digital attribution and its limits, with the ability to reconcile platform-reported conversions against order data and explain the difference
• Rigorous validation habits: checks date windows, denominators, and channel scope before reporting a number
• Clear communication to non-technical stakeholders
• Self-directed and comfortable as one of the first dedicated data hires, building without an established playbook

Benefits

• Competitive plans for Medical, Dental, Vision
• 401(k) + matching
• Annual RSU grant
• Generous PTO policy + observed holiday calendar
• Monthly mobile/internet stipend
• Employee discount for eligible Malbon products

Tagged as: Data Analysis