Job Responsibilities

• Managing and ensuring data quality, integrity, normalization and accuracy of available datasets. Improve data quality as per data quality framework and working with data owner. Internal and external benchmarking to establish things influencing data quality.
• Managing and designing the reporting environment, including data sources, security, and metadata. Generate business insights using BI dashboards that shall provide clear directions/actions to senior managers to support decision-making.
• Support digitization to improve quality of data. Root cause analysis by using quality analysis tools, machine learning and statistics.
• Helping organization to take key decisions based on integrated analytics involving different datasets. Perform predictive data analysis, generate indications for focus area and target the improvements proactively.
• Maintain and re-engineer existing ETLs to increase data accuracy, data stability, and pipeline performance.
• Advanced statistical techniques for complex data analysis. Interpreting data, analysing results using statistical techniques, developing analytical reports.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. Managing and designing the reporting environment, including data sources security, and metadata.
• Sufficient business acumen to understand business objectives & dynamics