1. Key Responsibilities

Data Reporting & Visualization: Develop and deliver Power BI dashboards and reports to support the BOM, business squads, and other internal departments. Provide actionable insights to improve business operations and decision-making.
Data Analysis: Utilize Python, SQL, and other tools to gather, analyze, and interpret large, complex datasets, ensuring data accuracy and consistency.
Internal Reporting: Produce regular and ad-hoc internal reports to track key performance indicators (KPIs) and other business metrics.
API Integration: Collaborate with other technical teams to provide data through API integrations for cross-departmental access and automation.
Cross-Departmental Collaboration: Work closely with stakeholders across different teams to understand data requirements and provide customized analytical solutions.
Data Quality: Ensure data integrity by implementing validation procedures and maintaining high standards for data accuracy.
Process Optimization: Identify opportunities to improve data processes, reporting, and workflows through automation or enhanced data management practices.

2. Required Skills & Qualifications

Technical Expertise

Advanced proficiency in Power BI for building reports, dashboards, and data visualizations.
Strong skills in SQL for querying, managing, and analyzing large datasets.
Experience with Python for data analysis, automation, and scripting.
Hands-on experience with AWS Redshift and AWS Lake for data storage, querying, and integration.

Analytical Skills

Strong ability to analyze complex data sets and translate them into actionable business insights.
Prior experience working with financial or stock market data.

Communication

Excellent verbal and written communication skills, with the ability to explain technical data to non-technical stakeholders.
Ability to collaborate effectively across multiple departments.
Detail-Oriented: Strong focus on accuracy and quality in all data-related tasks.
Problem-Solving: Demonstrated ability to troubleshoot data-related issues and improve processes.

Experience

At least 5 years of experience as a Data Analyst, preferably in the banking or finance industry.
Familiarity with stock market data, financial reporting, or securities-related analysis is highly desirable.
Education: Bachelor's degree in Data Science, Computer Science, Finance, Mathematics, or a related field.
CFA Level 1 Passed is a plus, demonstrating a foundational understanding of investment analysis and financial markets.

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