Senior Data Analyst (MI & Reporting)

Role Summary
We are looking for a Senior Data Analyst (MI & Reporting) to support the Data & Analytics function of one of Asia's leading digital banks. The role is responsible for developing and automating management information dashboards and reports using data from multiple sources. The successful candidate will work closely with business stakeholders to define reporting requirements, develop meaningful KPIs, and deliver accurate and timely insights.
The ideal candidate has strong SQL and data analysis skills, hands-on experience with Amazon Athena and Amazon QuickSight, and the ability to independently manage reporting requirements from initial discussion through to delivery.
Key Responsibilities
Design, develop, and maintain management information dashboards and reports using Amazon QuickSight
Use SQL and Amazon Athena to extract, query, join, and analyse data from multiple sources
Translate business requirements into meaningful KPIs, dashboards, and reporting solutions
Consolidate structured and semi-structured data from databases, data lakes, files, APIs, and other internal systems
Automate recurring daily, weekly, and monthly reporting processes
Perform data validation, reconciliation, and quality checks to ensure reporting accuracy
Analyse data to identify trends, exceptions, and actionable business insights
Investigate discrepancies and work with Data Engineering and source-system teams to address data issues
Optimise SQL queries, datasets, and dashboard performance
Maintain clear documentation covering data sources, KPI definitions, business rules, and reporting logic
Support ad hoc analysis and reporting requests from business and management stakeholders
Promote consistent definitions and reporting standards across different dashboards and business functions
Required Skills and Experience
At least 5 years of experience in Management Information, Data Analytics, Business Intelligence, or Reporting roles
Strong hands-on experience with SQL, including complex joins, aggregations, subqueries, and query optimisation
Strong practical experience with Amazon Athena
Proven experience designing and developing dashboards using Amazon QuickSight
Experience integrating and analysing data from multiple sources and formats
Good understanding of data modelling, KPI design, and reporting principles
Experience automating recurring dashboards and reporting processes
Strong analytical and problem-solving skills, with close attention to data accuracy
Ability to gather requirements and communicate effectively with both business and technical stakeholders
Ability to work independently, manage priorities, and take ownership of deliverables
Experience working in a cloud-based data environment, preferably AWS
Preferred Qualifications
Experience in banking, financial services, or another regulated industry
Familiarity with AWS data services such as Amazon S3, AWS Glue, and Redshift
Experience working with data lakes or cloud data warehouses
Understanding of data governance, data quality, metadata, and lineage principles
Experience with Tableau
Basic Python knowledge for data processing or reporting automation
Experience working in Agile delivery environments
Key Behavioral Expectations
Strong ownership and ability to deliver with limited supervision
Business-oriented mindset and ability to understand the purpose behind reporting requirements
High attention to detail and commitment to data accuracy
Clear and confident stakeholder communication
Pragmatic, collaborative, and delivery-focused approach
Ability to manage multiple reporting requirements and changing priorities
(Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding.)