Senior Data Analyst and Analytics Engineer

You will turn product and business data into clear, decision-ready insights. You will build dashboards, conduct ad-hoc analyses, design and evaluate experiments, maintain dbt models in Redshift, define trusted metrics, and improve self-serve analytics. You will partner on event tracking and analytics strategy across product, engineering, customer success, and data science.

Responsibilities

• Build and maintain dashboards in Hex and Amplitude for consumer behavior, app performance, brand-partner outcomes, and business metrics
• Field ad-hoc analysis requests and deliver clear, decision-ready answers
• Design, launch, and analyze A/B tests and feature experiments
• Run surveys and statistical analyses of customer behavior, including funnels, cohorts, retention, and engagement
• Build and maintain tested and documented dbt models in Redshift
• Define and document core metrics
• Partner on Amplitude event tracking and feature instrumentation
• Develop an end-to-end understanding of the product so analytics reflects product behavior
• Plan and review analytics strategy with the data science team
• Enable self-serve analytics for non-technical teammates

Requirements

• 5+ years of experience as a data analyst, product analyst, or analytics engineer
• Advanced SQL skills
• Experience with a cloud data warehouse such as Redshift, Snowflake, BigQuery, or Databricks
• Experience building and maintaining dbt data models, including tests and documentation
• Knowledge of statistics and experiment design
• Experience running A/B tests end-to-end
• Experience with product analytics tools such as Amplitude or Mixpanel
• Experience with BI or notebook tools such as Hex, Mode, or Looker
• Working proficiency in Python for analysis
• Ability to prioritize competing requests in a 0-1 environment
• Ability to communicate recommendations to product, engineering, and business stakeholders

Benefits

• Remote work
• Optional offices in San Francisco
• Flexible time off