Data Science Senior
Description
The role involves creating and maintaining documentation for data provisioning pipelines, collaborating with cross-functional teams to address business requirements, conducting in-depth financial analysis, and ensuring the accuracy and security of financial databases. The position requires proficiency in SQL, data visualization tools, and a strong understanding of financial concepts, with a preference for experience in Retail Banking.
Job Responsibilities:
Create functional and technical documentation for data provisioning pipelines, including source to target mappings and data environment diagrams.
Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
Conduct ad-hoc analysis and deep dives into specific financial areas or projects.
Collect, organize, and analyze financial data from various sources.
Possess good knowledge of databases, data models, and data systems for financial analysis.
Ensure data accuracy, integrity, and security in financial databases and systems.
Recommend process improvements and automation opportunities to enhance data analysis efficiency.
Qualifications:
Bachelor's degree in Finance , Economics, Statistics, Mathematics, or a related field.
Strong knowledge of financial concepts, accounting principles, and financial markets, especially in Retail Banking.
Proficiency in SQL for data extraction, manipulation, and analysis.
Experience with data visualization tools such as Tableau, Power BI, or Excel.
Familiarity with statistical analysis techniques and tools.
Strong analytical and problem-solving skills.
Attention to detail and ability to work with large datasets.
Excellent communication and presentation skills.
Ability to work independently and collaborate effectively in a team environment.
Knowledge of programming languages such as Python or R is a plus.
Soft Skills:
Excellent communication and presentation skills.
Strong analytical and problem-solving skills.
Ability to work independently and collaborate effectively in a team environment.
Additional Information:
Professional certifications in the finance domain or data domain are advantageous .
Continuous learning and staying updated with industry trends and technologies are essential for success in this role
Benefits:
- 20 vacation days per year
- Aguinaldo superior
- SGMMm
- Learning Platform
- Grocery Vouchers