Senior Data Analyst

I. 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. 

II. 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. 

Send your CV/Resume to: [email protected]