Business Data Analyst

Data Analyst needs a combination of technical, analytical, and soft skills to effectively perform. Following are the skills required:

• Strong experience in banking, financial and management consulting
• Banking, Financial industry knowledge and expertise
• Proficiency in programming languages like Pythion, SQL for data manipulation and analysis, good knowledge of excel
• Effectively profile data from existing sources to understand its structure and content to capture data requirements and data modeling
• Ability to write complex SQL queries
• Understanding of business context and ability to align data analysis with business objectives
• Work closely with Data modelers to translate domain knowledge into effective data models that accurately represent the structure and relations within the data

• Data analysis experience in

• • Deposits – CD, Savings, Checking
  • Credit Cards – rewards cards, hotel, travel, business, and cobranded cards
  • Debit – Debit platform
  • Payment processing – Merchant, Ecommerce, ACH, business banking
  • Wealth Management
  • Investment
• Work on some of the most complex and highly visible data problems in finance at the intersection of finance and technology
• Ability to partner, prioritize, lead, negotiate, drive execution and influence
• Laison between SMEs, Data Architects, Data Modelers to understand individual data domains and ensure acceptance from all parties
• Engage and partner with Product owners, business users (technical and on-technical), data providers, technology teams, across large financial function to design and deliver data products
• Experienced in end-to-end SDLC