Indotronix Avani Group
From Indotronix Avani Group's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Emphasis on Skills This role prioritizes technical proficiency and analytical acumen.
TS03-Data Analyst – Job Summary
Role Impact & Expectations
The TS03-Data Analyst plays a pivotal role in fraud detection and prevention, leveraging advanced analytics and robust data engineering practices. This position is essential for developing scalable and secure fraud analytics infrastructure, driving actionable insights, and ensuring the integrity of organizational data assets. Candidates will be expected to demonstrate deep technical expertise and a strong understanding of fraud patterns to deliver high-value analytical solutions.
Emphasis on Skills
This role prioritizes technical proficiency and analytical acumen. Expertise in Python, AWS, SQL, and fraud analytics is crucial, as is hands-on experience with AWS Lambda, S3, Glue, Step Functions, and EventBridge. The ability to automate, process, and engineer features from fraud datasets is fundamental.
Design and develop scalable analytical tools and scoring logic for fraud detection.
Build robust, secure data pipelines supporting fraud detection and reporting.
Automate preprocessing and feature engineering for large, complex fraud datasets.
Execute advanced SQL queries on multisource fraud data to identify anomalies and analyze rule performance.
Apply fraud models, rules, and behavioral analytics for early-life and ongoing fraud monitoring.
Translate complex fraud behaviors and patterns into effective analytical detection methods.
Collaborate across teams to integrate fraud detection logic with business processes and reporting systems.
Recruiter Insights
Attractive Role: Central to organizational risk management and data-driven decision-making.
Competitive Advantage: Exposure to advanced AWS technologies and real-world fraud detection scenarios.
Preferred Skills: Experience with machine learning for fraud, big data processing frameworks, and visualization tools (not mandatory but advantageous).
Structured Career Path: Opportunities for advancement in data science and risk analytics domains.
Candidate Insights
Impactful Work: Directly contribute to safeguarding the organization against fraud risks.
Skill Development: Enhance expertise in Python, AWS ecosystem, and fraud analytics.
Career Growth: Gain exposure to cutting-edge fraud detection technologies and practices.
Collaborative Environment: Work with cross-functional teams at the forefront of data security and analytics.
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