Fraud Detection Analyst

EBCOM Tehran

Posted a year ago

Job Description

● Develop data-driven applications. ● Analyze and organize raw data. ● Build data systems and pipelines. ● Optimize the application for maximum speed and scalability. ● Evaluate business needs and objectives. ● Interpret trends and patterns. ● Conduct complex data analysis and report on results. ● Prepare data for prescriptive and predictive modeling. ● Build algorithms and prototypes. ● Combine raw information from different sources. ● Explore ways to enhance data quality and reliability. ● Identify opportunities for data acquisition. ● Develop analytical tools and programs. ● Extract and collect data from different data sources, particularly the database with optimized and suitable queries. ● Create automated analytical solutions using programming skills and implement the logic of KPIs.

Requirements

● Intermediate in Python programming language. ● Good understanding of the ETL process and data cleansing. ● Familiarity with relational and NoSQL databases. ● Hands-on experience in Linux, and Docker. ● Experience in designing and developing solutions following "best practices" within a large/complex environment. ● Passionate about, Data, Big Data, and ML-learning new technologies. ● Familiar with Agile culture. ● Intermediate level of English. ● Knowing Elasticsearch and Kibana is a plus.

Employment Type

  • Full Time

Details

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