Data Analytics Analyst

• Design, develop, and maintain complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes
• Utilize Python scripting for data analysis, automation, and reporting
• Perform in-depth data analysis to identify trends, patterns, and anomalies, providing actionable insights to improve business performance
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications
• Develop and maintain data quality standards and ensure data integrity across various systems
• Leverage data analysis and visualization tools (e.g., Tableau, Power BI, Qlik Sense) to create interactive dashboards and reports for business stakeholders
• Stay up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements
• Research and evaluate emerging AI/ML tools and techniques for potential application in data analysis projects

• 1-2 years of hands-on work experience as Technical Data Analyst with Oracle PL/SQL & python programming to interpret analytical tasks and analyze the large datasets
• Proficiency in Python scripting for data analysis and automation
• Expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense
• Awareness and understanding of AI/ML tools and techniques in data analytics (e.g., machine learning algorithms, natural language processing, predictive modeling)
• Strong analytical, problem-solving, communication, and interpersonal skills
• Experience in the financial services industry

Practical experience applying AI/ML techniques in data analysis projects is a plus

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays