Data Analyst II

Data Analyst II

Onsite

Summary:

The main function of a data analyst is to investigate user and business compromise at our company, build data pipelines, and discover new attack patterns and behaviors.

Responsibilities:

Lead the understanding of compromise in business products, including product vulnerabilities and process gaps, through data analysis and deep investigation.

Play a central role in mitigating abuse on our business products. Work cross-functionally with engineering, product, and operations teams to inform strategic investment and develop solutions to mitigate and prevent future abuse at scale.

Analyze large datasets to identify meaningful signals and patterns that correlate with fraud and abuse. Develop and maintain data pipelines and detection rules that help measure and catch abuse.

Reverse-engineer scaled attacks and perform tactical mitigation of ongoing abuse against our business products through rapid prototyping of investigations workflows and enforcement rules.

Investigate networks of malicious actors for on- and off-platform disruption.

there might be instances that require meetings and/or work outside of prescribed hours to account for collaboration with global teams in different time zones

Responsibilities:

You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others

You will use data and analysis to identify and solve our biggest challenges

Write SQL and Python to understand user and business compromise system. Write pipelines to measure progress against integrity goals

Discover and Identify new attack patterns and behaviors

You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams

Skills:

2+ years of experience performing open-ended analysis and developing practical business insights and recommendations.

1+ year of experience performing data analysis and building data pipelines, queries and reports with SQL or other languages/tools without dedicated data science support.

Demonstrated experience working with Python, PHP, R, or similar scripting languages for ad-hoc analytical tasks.

Ability to think critically and qualify assessments with strong presentation, documentation, and organizational skills.

Ability to own projects independently, navigate complex problem areas and cross-functional teams with little supervision.

Education/Experience:

Bachelor's degree in computer programming or equivalent training required.

Pay range is $47 - $52 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

THE PROMISES WE MAKE:

At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.