Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
Proactively detect indications of fraud, collusion or policy violations in structured and unstructured data, using advanced analytics (predictive, prescriptive) to test 100% of the data population, to identify anomalies, patterns, and risk trends.
Translating Complex Data Findings into Actionable Insights
Identify, analyze, and prioritize IT risks, root causes, business impacts, and control gaps across cybersecurity, data protection, system availability.
Deliver practical, risk-based, and business-oriented audit reports with clear recommendations to strengthen controls, improve operational resilience, and support sustainable business improvement.
Monitor, validate, and report the status of audit issue remediation to ensure management action plans are effectively implemented and evidence-based.
Job Requirements
Minimum 3 years of experience in technical designing and deploying large-scale distributed data processing systems and communicate insights effectively.
Solid knowledge framework and systematic thinking, familiar with Data Mining, Data Modeling, DAX (Data Analysis Expressions) and Big Data
Proficient in programming languages for data analysis (Python and/or R) and advanced SQL (GoogleSQL / MySQL / PostgreSQL) for data querying and manipulation.
Have basic knowledge of data processing services GCP (BigQuery,DataFLow) / AWS (Redshift, EMR) will be an advantage
Have basic knowledge of enterprise systems (SAP / Odoo / Accurate, etc..) will be an advantage
