Data Reporting Professional Gurugram

Roles and Responsibilities: The Data/Information Management Senior Analyst (Banking Operations Analytics) accomplishes results by contributing significantly to the banks success by focusing on improving efficiency, accuracy, and insights through data and process optimization. The responsibilities involves a blend of data analysis, report generation, and the development of automated solutions. Data Collection and Analysis: Gathering data from various sources, cleaning it, and analyzing it to identify trends, patterns, and insights relevant to business operations. Report Generation: Designing, developing, and maintaining regular and ad-hoc reports for different stakeholders. These reports often present key performance indicators (KPIs), operational metrics, and financial data in an understandable format. Automation Development: Identifying manual, repetitive tasks and processes within the organization and developing automated solutions to streamline them. This can involve scripting, using automation tools/technologies like SQL, SAS, Python, PySpark, Tableau etc. Process Improvement: Analyzing existing workflows to pinpoint inefficiencies and recommend improvements, often leveraging automation to achieve these. Dashboard Creation: Developing interactive dashboards using reporting tools (e.g., Tableau, Python, Power BI) to provide real-time visibility into performance and trends. Stakeholder Communication: Presenting findings and recommendations to various departments and management, explaining complex data in a transparent and concise manner. System Maintenance: Ensuring the accuracy and reliability of reporting systems and automation tools, troubleshooting issues, and performing regular updates. Documentation: Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include Process Automation / Optimization and data visualization techniques. Data Governance and Quality: Contributing to efforts to maintain data quality, consistency, and adherence to data governance policies. Data Handling: Work with large, complex and unstructured data to evaluate, recommend, and support the implementation of business strategies Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .