Responsibilities:

📍Identify, monitor, and mitigate fraud activity 📍Develop and implement high precision fraud prevention controls 📍Process, clean, and visualize data from complex databases and create top-notch reporting solutions 📍Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team 📍Design experimentation frameworks such as decision trees and A/B test models, identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates 📍Design, build and enhance dimensional models for BI solutions 📍Perform root cause analysis and resolve production and data issues 📍Create test plans, test scripts, and perform data validation 📍Tune SQL queries, reports, and ETL pipelines 📍Build and maintain data dictionary and process documentation 📍Research new tools and technologies to improve existing processes

Minimum Qualifications:

📍4+ years experience in data analytics, strategy analytics or modeling role 📍4+ years experience developing a BI applications (Tableau/Looker/Power BI, etc) 📍Advanced skills with SQL are a must 📍Proficient in Python 📍Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc) 📍Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc) 📍Experienced in working collaboratively across different teams and departments 📍Strong technical and business communication 📍This role may require on-call rotations