Senior Data Analyst

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.