experience Senior Data Specialist with the required: 10 years of comprehensive experience in data management Responsibilities: Data Management: Lead the development and implementation of data management strategies and security of banking data assets. Data Analysis: Conduct in-depth data analysis and interpretation within the banking organization. Data Governance: Establish and enforce data governance policies, standards industry best practices. Data Architecture: Design and maintain scalable and efficient data architectures, including
take your expertise in data analysis to the next level? Join us as a Senior Data Analyst and become an insights from data, drive process improvements, and support strategic decision-making. Qlik data modelling; modelling; Generating information and insights from data sets and identifying trends and patterns; ETL Framework Framework – This includes an understanding of data extraction, transformation, and modelling; Locate and define Providing technical expertise in data storage structures, data mining, and data cleansing; Implement strategies
requirements, and industry best practices. Data Analysis: Perform data analysis and visualization to identify anomalies indicative of fraudulent behavior, leveraging data mining techniques and fraud detection tools. Fraud and initiatives. Duties Analyzing transactional data and customer behavior patterns to identify potential and regulatory requirements. Data Analysis and Reporting: Performing data analysis and visualization to Analyst in Fraud Management involves a combination of data analysis, solution design, collaboration with stakeholders
API Connect, ensuring seamless communication and data consistency. Write clean, efficient, and maintainable development tasks, including API development and data manipulation. Conduct thorough testing and debugging
Salesforce and other systems using API Connect, ensuring data consistency and seamless communication. Conduct solutions, including customizations, integrations, and data migrations. Expertise in API Connect or similar
SQL Server, Oracle, or MySQL, and experience with data modeling and optimization techniques. Cloud Computing:
business analysis techniques such as process modeling, data analysis, user story mapping, and requirements documentation