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.
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