Data Analyst

Responsibilities:

Partner with the business to understand the organization and its goals to ensure prioritization of the highest impact initiatives.
Define, create, and visualize metrics for problem definition for tracking project success/workstream health.
Collaborate with technical owners to deliver impactful insights.
Create dashboards for weekly reporting.
Build strong relationships and trust with stakeholders, keeping them and their teams engaged in the project.

Requirements:

5+ years in a data analyst or similar role
High proficiency in Advanced SQL and Airflow for developing queries and data pipelines
Working knowledge and understanding of Experiments, Causation & Correlation, and Statistical models (eg. regression, Chi-square, etc.)
Experience with Superset, Tableau, or similar BI platform to develop reports and dashboards
Ability to work independently with stakeholders, write requirements, and solve analytical problems in fast-paced, ambiguous environments
Able to serve as a liaison between business and technical teams to drive effective, timely solutions, and insights to actions, that fulfill both strategic and operational needs
Able to team effectively with others and build relationships at all levels, both within the team and with stakeholders

Highly Preferred:
Experience with the Trust & Safety domain, ML models, and metrics
Experience with Big Data/Analytics platforms/languages like Hive, Python, R is a big plus