Job Description: IT Business Data Analyst

1. Position Overview:
   - The IT Business Data Analyst is a highly skilled professional responsible for analyzing finance and investment data to provide actionable insights to the business.
   - Collaborates with the development team to ensure effective systems integration and data analysis.

2. Responsibilities:
   - Conducts business analysis to understand and document business requirements.
   - Performs data analysis to identify trends, patterns, and anomalies.
   - Develops end user reports and handles ETL requests.
   - Collaborates with stakeholders to gather requirements and ensure data accuracy.
   - Manages ETL applications and supports report development.
   - Implements AI solutions to enhance data analysis capabilities.
   - Documents data requirements and ensures adherence to data quality plans.
   - Conducts user testing and provides training on data analysis tools and techniques.
   - Manages workload and ensures timely completion of project milestones.

3. Experience and Qualifications:
   - 3-5 years of experience as a Data Analyst or IT Business Analyst, preferably in the finance or investment industry.
   - Bachelor's or Master's degree in Computer Science, Information Systems, Finance, Business, Data Science, or a related field.

4. Skills:
   - Proficient in SQL and data modeling.
   - Experience in metadata organization and data cleaning.
   - Familiarity with reporting tools and working with large SQL databases.
   - Strong ability to write complex queries and generate reports.
   - Excellent presentation skills to effectively communicate insights.
   - Knowledge of AI techniques and their application in data analysis.
   - Understanding of compliance data and its implications.
   - Strong analytical skills and attention to detail.
   - Experience with data warehousing and Microsoft Excel.
   - Ability to work collaboratively in a team environment.

5. Industry Focus: Finance, Investments

6. Key Competencies:
   - Strong analytical skills and attention to detail.
   - Proficient in data analysis using technology toolsets.
   - Familiarity with AI techniques for data analysis.
   - Understanding of compliance data and its implications.
   - Proficient in Microsoft Excel.
   - Ability to work collaboratively in a team environment.

7. Education: Bachelor's or Master's degree in Computer Science, Information Systems, Finance, Business, Data Science, or a related field.

8. Other Requirements: No Details Found

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