Data Analyst

The Role: Data Analyst

As a member of our Trust & Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization.

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 tests,  identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates
Identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates 
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 or strategy analytics 
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
Preferred Qualifications:

Proficient in Developing LookML
Knowledge and experience of financial markets, banking or exchanges
Experience working in small firms or start up technology first
It Pays to Work Here

The compensation & benefits package for this role includes:
Competitive starting salary
A discretionary annual bonus
Long-term incentive in the form of a new hire equity grant
Comprehensive health plans
401K with company matching
Paid Parental Leave
Flexible time off