The main function of a data analyst is to investigate user and business compromise, 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 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 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.
Job 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 the biggest challenges
- Write SQL and Python to understand user and business compromise systems. 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 analyses 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, and navigate complex problem areas and cross-functional teams with little supervision.
Education/Experience: - Bachelor's degree in computer programming or equivalent training required.
Benefits: - 401(k).
- Dental Insurance.
- Health insurance.
- Vision insurance.
- We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
- The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
Additional Responsibilities: - Participate in OrangePeople monthly team meetings, and participate in team-building efforts.
- Contribute to OrangePeople technical discussions, peer reviews, etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
About us: OrangePeople is an Enterprise Architecture and Project Management solutions company. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OrangePeople team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & and education. An ideal Orange Person is a technology leader with a proven track record of technical achievements and a strong process/methodology orientation. Data Analyst II