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.)