Data analyst

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.

• Dice Id: 10216708
• Position Id: 2024-5128