Citi
Gurugram Haryana India
The Data/Information Management Analyst (Banking Operations & Analytics) accomplishes results by contributing significantly to the bank's 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.
Stakeholder Communication: Presenting findings and recommendations to various departments and management, explaining complex data in a clear and concise manner.
Incumbents would be primarily responsible for supporting Business Execution activities for Chief Operating Officer, implement analytical solutions to manage banking operations like spend and utilization insights with contextualized metrics.
Interface between business and technology partners for digitizing data collection, including performance generation, validation rules for banking operations. Offer technical guidance and support in areas such as knowledge graph development, data extraction, and other technical aspects related to business execution and business analytics.
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.
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
Qualifications:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Time Type :Full time
Please see the requirements listed above.
For complementary skills, please see above and/or contact the recruiter.
Job Level :C12
Decision Management
Data/Information Management
Full time
Please see the requirements listed above.
For complementary skills, please see above and/or contact the recruiter.
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