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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.
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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.
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Time Type :Full time
Global financial services organization enabling growth and economic progress.
Visit company websiteJobs and hiring trendsFull-time
Senior · 8+ years experience
Hybrid
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