Description

You will own data analysis to drive business decisions.

Responsibilities

• Perform data analysis and identify patterns to support business decision making.
• Formulate analytical methodologies and identify inconsistencies within large datasets.
• Transform data sets and perform quantitative and qualitative analysis to derive insights.
• Provide actionable recommendations and generate business insights for organizational growth.
• Collaborate with business teams to translate requirements into technical solutions.

Required Skills

• 5-8 years of hands-on experience developing code in SAS, SQL, Python, and Tableau.
• Proficiency in Data Analysis and Data Manipulation techniques.
• Strong command of MS Excel and RDBMS.
• Experience with banking products, including Wealth, Cards, Deposits, Loans and Insurance.
• Ability to automate manual controls using industry standard data techniques.
• Master's degree in Information Technology, Information Systems, Computer Applications, or Engineering.

Preferred Skills

• SAS on Mainframe experience.
• Familiarity with Jira, Confluence, and BitBucket.
• Knowledge of Finance Regulations or Audit Process.

Key Skills

Education

Any Graduate