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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 121,000 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
Bachelor’s 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
Skills:
Data AnalyticsSkills Required
- Bachelor's 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 Python programming skills for data processing, automation, and reporting workflows
- Experience building dashboards and reports with MicroStrategy, Amazon QuickSight, or similar business intelligence platforms
- Experience with structured data sources, SQL queries, databases, and large datasets
- Strong analytical mindset and attention to detail and data quality
- 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
What We Do
At BBVA we are leading the transformation of banking worldwide, united in pursuing our goal of bringing the age of opportunity to everyone. Firmly focused on the future, our on-going digital transformation is already producing disruptive innovations that power our vision of banking. Every one of our 112,465 employees, from branch staff to senior leaders, plays an essential role in giving our 85 million customers the cutting edge banking solutions that they deserve. Building on 165 years of history we know the importance of constant development, which is why we place so much confidence in the collaborative working environment that enables our people to grow and excel. If you would like to learn about the culture and opportunities on offer at a company that is leading the way for 21st century banking, head to the ‘Life’ tab to find out more.
