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Jobs in Malaysia   »   Jobs in Kuala Lumpur   »   Information Technology Job   »   Senior Data Analyst (Finance)

Senior Data Analyst (Finance)

Delivery Hero

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As a Senior Finance Data Analyst, you will leverage your expertise to directly impact the strategy, growth, and financial operations of our 16 markets by delivering actionable insights and advanced analytics and reporting solutions. In this role, you’ll work as a critical thought partner with senior Finance and FinTech leaders to influence strategy, mentor junior analysts, and leverage AI to build the future of finance analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

  • Financial Reporting and Analytics: Design robust internal and external reporting and measurement solutions for financial operations and FinTech initiatives ranging from projecting and/or evaluating the impact of campaigns to measuring the value of key FinTech partnerships.
  • Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key financial operations; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
  • Stakeholder Engagement & Influence: Collaborate closely with senior finance partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
  • Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
  • Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
  • AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how finance analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst and financial workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

Find out more about our Data Analytics folks here: 

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