Key Responsibilities:

Analyze large datasets to identify trends and provide actionable insights.

Build and maintain interactive dashboards and reports for key stakeholders.

Collaborate with teams across finance, operations, and risk management to understand data needs.

Ensure data accuracy and consistency through rigorous validation and quality checks.

Support strategic projects using data-driven approaches, including predictive analytics.

Continuously seek opportunities to improve data processes and reporting efficiency.

Required Skills and Experience:

Proven experience as a Data Analyst or in a similar analytical role.

Advanced proficiency in data visualization tools (e.g., Power BI, Tableau, or QlikView).

Strong SQL skills for data querying and manipulation.

Advanced Excel capabilities, including pivot tables and data modeling.

Solid understanding of statistical analysis methods and tools (e.g., Python or R).

Excellent problem-solving skills and strong attention to detail.

Ability to communicate complex data insights clearly to non-technical stakeholders.

Desirable Skills:

Previous experience in the financial services sector.

Familiarity with data warehousing and ETL processes.

Exposure to cloud-based data platforms (e.g., Azure, AWS, or Google Cloud).

Knowledge of machine learning techniques and frameworks.

Professional certifications in data anal...