Data Ops Analyst

$130,000 - $150,000/Yr

Human Security - New York, NY

Full-time - Mid Level

New York, NY

About the position

The Data Ops Analyst at HUMAN plays a crucial role in the Research team, focusing on protecting the internet from cybercrime by developing automated detection techniques. This position involves managing the full cycle of fraud fighting, from exploratory research to the implementation of statistical detection techniques, ensuring the integrity of the Human Defense Platform. The analyst will work collaboratively with product and engineering teams to deliver customer-facing features and improve existing processes.

Responsibilities

• Identify impactful detection leads that increase velocity from time of threat identification to implementation of mitigation in HUMAN products
• Deploy stop-gap defenses for emerging threats through the development of analyses, models, algorithms, and dashboards
• Deploy long-term defenses based on statistical analysis of supply chain data and fraud actor behavior
• Deliver new customer-facing features through collaboration with Product and Engineering teams
• Build complex queries and reports to analyze historical data, including the use of techniques such as sub-queries, temp tables, complex joins, and variables
• Triage customer and internal inquiries about fraud efficacy by acting as first line of analysis
• Maintain product excellence and efficiency through improvements to existing techniques and tooling that reduce the time to understand a new detection lead and process it
• Build detailed documentation of models, algorithms, and analyses to build visibility and auditability of work

Requirements

• Proficiency in SQL
• Experience working with multi TB to PB data sets in cloud databases
• Experience improving processes and implementing tooling to accelerate analysis
• Python experience or exposure preferred
• AdTech experience or exposure preferred

Benefits

• Stock options
• Annual stipends for wellbeing and learning & development
• Home office setup stipend
• Weekly lunches
• Dedicated time off
• No-meeting Fridays
• HUMAN days