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.

- 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 clear 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

Core Competencies:

- Data Analysis &
- Insight Extraction:

Proficiently applying analytical techniques to complex datasets to fetch meaningful, actionable insights that address business questions and drive decision.

- Data Manipulation &

- Querying

: Expert ability to query and manipulate data from various data sources (using SQL/Python/R), ensuring data quality and readiness for analysis and reporting.

- Reporting &

- Visualization Tools:

Expertise in using reporting & visualization platforms (e.g., Tableau, Power BI, Qlik Sense) to design, develop,



and maintain dynamic dashboards and reports that clearly communicate performance and insights.

- Automation Technologies &

- Scripting:

Strong capability in identifying automation opportunities, developing and implementing automated solutions using automation tools and scripting languages, and optimizing existing automated workflows.

- Problem-Solving:

Proactively identifying issues and developing practical, value-driven solutions.

Qualifications:

- 5+ years of experience in Reporting &
- Automation, Data/Information Management Analyst roles with proficiency in business intelligence tools/technologies like SQL, SAS, Python, PySpark, Tableau etc.

- Ability to develop scripts for automating routine tasks (e.g., Python scripting for file processing, API integrations).

- Experience demonstrating a strong track record in developing reports, performing data analysis, and implementing automation solutions.

- Solid understanding of reporting and automation data & analytics ecosystem, establish a scalable analytics framework – data strategy, process optimization, actionable insights, visualization techniques.

- Experience in Developing and Deploying AI solutions in partnership with Tech and Business

- Experience with any banking operations (e.g., expense analytics, movement of funds, cash flow management, fraud analytics, ROI). Knowledge of regulatory requirements related to data privacy and security

- AI / Gen AI proficiency and thought leadership in Financial/Business Analysis and/or operation risk analysis with ability to impact key business drivers

📌 Reporting and Automation data Analyst - (Tableau / Python) (Gurugram)
🏢 T D Newton u0026 Associates
📍 Gurugram