Financial Planning & Performance Associate I

Excited to grow your career

BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121000 professionals working in multidisciplinary teams with profiles as diverse as financiers legal experts data scientists developers engineers and designers.

About the job:

Role Summary

We are seeking a technically strong Data Scientist / Finance Data Analytics Specialist to join the Finance Department in BBVA Hong Kong. This role will support Financial Planning and Analysis Accounting and broader Finance functions by developing data extraction processes automating internal and regulatory reporting and building dashboards and analytical tools to improve decision-making and operational efficiency.

The ideal candidate will combine strong Python programming and data-processing capabilities with practical experience in dashboard development platforms such as MicroStrategy and Amazon QuickSight. This person should be comfortable working with large and diverse internal data sources partnering with finance and accounting stakeholders and translating business requirements into reliable analytical and automation solutions.

Key Responsibilities

• Extract clean transform and consolidate data from multiple internal systems and data sources for finance and accounting use cases.

• Develop enhance and maintain automated data pipelines and reporting processes using Python and related tools.

• Build and maintain dashboards reports and visual analytics in platforms such as MicroStrategy Amazon QuickSight and other BI tools as applicable.

• Support the automation of internal management reporting financial reporting and regulatory reporting processes.

• Work closely with FP&A Accounting Finance Operations and IT teams to understand reporting requirements and deliver practical data solutions.

• Improve reporting accuracy efficiency transparency and control through standardization and automation.

• Perform data validation reconciliation and quality checks to ensure consistency and reliability of outputs.

• Prepare recurring and ad hoc analysis to support business planning budgeting forecasting performance tracking and management decision-making.

• Document data flows methodologies business logic and technical processes to ensure continuity and control.

• Identify opportunities to streamline manual processes and reduce operational risk across finance reporting activities.

• Support governance audit and control requirements related to data management and reporting processes.

• Assist with change implementation user testing and ongoing enhancement of finance data solutions.

Required Qualifications and Experience

• Bachelors degree in Data Science Computer Science Statistics Mathematics Finance Accounting Engineering or a related quantitative discipline.

• Relevant experience in data analytics business intelligence financial data management or reporting automation.

• Strong programming skills in Python especially for data processing automation and reporting workflows.

• Experience in building dashboards and reports using MicroStrategy Amazon QuickSight and/or similar BI platforms.

• Experience working with structured data sources SQL queries databases and large datasets.

• Strong analytical mindset with attention to detail and data quality.

Preferred Qualifications

• Experience in banking or financial services.

• Familiarity with financial planning accounting close processes regulatory reporting or MIS reporting.

• Knowledge of automation tools APIs scripting or cloud-based analytics environments.

• Experience with data visualization design and dashboard best practices.

• Exposure to machine learning or predictive analytics is a plus though this is not the primary focus of the role.

Success Measures

• Reduction in manual reporting effort

• Improved reporting timeliness and accuracy

• Increased automation of recurring finance processes

• High-quality dashboards and management information tools

• Strong stakeholder satisfaction across Finance and Accounting teams