Sr. Analyst, Data Analytics (C12) – Analytics & Information Management (AIM), Gurugram
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We are seeking an experienced and strategic Data Analyst for our Data/Information Management Team. The ideal candidate will be responsible for driving the development and implementation of analytical solutions to support key business objectives for Banking Operations & Analytics as part of COO (Chief Operating Office). This role requires a strong analyst with a proven track record of delivering impactful insights and fostering a data-driven culture.
Roles and Responsibilities:
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.
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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
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:
8+ 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.
Strong 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
Education:
Bachelors/University degree in STEM, Master’s degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above. ------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------
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