ATO Data Analyst (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Fraud Analytics, Cybersecurity, SQL, Data Visualization, Tableau, Python, R, Cloud Data Platforms, AWS, GCP, Snowflake, AI, Machine Learning, Statistical Modeling, Analytical Skills, Problem-Solving

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an ATO Data Analyst in India. As an ATO (Account Takeover) Data Analyst, you will play a key role in protecting customer accounts by analyzing and interpreting large datasets to detect unauthorized access and identity-based threats. You will work closely with the Fraud Mitigation and security teams to identify patterns, trends, and anomalies in account activity, supporting proactive threat detection and prevention. This role offers the opportunity to influence detection strategies, implement rule changes, and provide actionable insights to enhance operational efficiency. You will leverage advanced analytics, AI/ML techniques, and visualization tools to monitor trends and reduce ATO risk. The position operates in a dynamic, fast-paced environment where collaboration, attention to detail, and continuous learning are essential. Your work will directly contribute to maintaining a secure and trustworthy experience for customers. Accountabilities: Analyze large datasets to detect account compromise, unauthorized access, and identity-based threats. Investigate ATO incidents, identify root causes, and recommend proactive prevention measures. Develop, implement, and refine detection rules and logic to continuously improve security measures. Build and maintain dashboards, metrics, and reports to monitor ATO trends and measure mitigation effectiveness. Collaborate with leadership and cross-functional teams to provide data-driven insights for strategic decisions. Stay current on emerging ATO tactics, tools, and techniques to strengthen detection and prevention strategies. Bachelor’s degree in Data Analytics, Data Science, Computer Science, Cybersecurity, or a related field, or equivalent professional experience. 3–5 years of experience in fraud analytics, cybersecurity, or data analysis, with a focus on account takeover or identity-based threats. Proficiency in SQL and data visualization tools such as Tableau. Experience with scripting languages such as Python or R for data manipulation, automation, or analytics. Familiarity with cloud data platforms (AWS, GCP, Snowflake). Knowledge of AI, machine learning, or statistical modeling techniques applied to fraud detection. Understanding of ATO patterns, credential stuffing, and identity-based attack vectors. Strong analytical, problem-solving, and organizational skills. Ability to communicate technical insights clearly to stakeholders and collaborate in cross-functional teams. Competitive salary and performance-based incentives. Flexible work environment, including options for remote, hybrid, or in-office work. Health insurance and access to top-tier benefits providers. Opportunities for professional growth, mentorship, and skill development. Access to learning programs, certification sponsorships, and career advancement opportunities. Paid personal time off and flexible leave policies. Free domain and WordPress blog sponsorship for all employees. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

As an ATO Data Analyst, you will analyze large datasets to detect unauthorized access and identity-based threats. You will collaborate with security teams to develop detection strategies and provide actionable insights to enhance operational efficiency.