Business Intelligence Lead

Monee Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Join or sign in to find your next job

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Monee About The Team

As a Business Intelligence Lead (Operations), you will play a key role in managing and optimizing data processes, designing insightful dashboards, and driving automation initiatives. This role requires a deep understanding of operations data to support decision-making across multiple teams, including Debt Collection, Customer Service (CS), Operational Excellence (Process Improvements and QA) and Risk functions (AML, KYC, User and Merchant Fraud). About The Team

As a Business Intelligence Lead (Operations), you will play a key role in managing and optimizing data processes, designing insightful dashboards, and driving automation initiatives. This role requires a deep understanding of operations data to support decision-making across multiple teams, including Debt Collection, Customer Service (CS), Operational Excellence (Process Improvements and QA) and Risk functions (AML, KYC, User and Merchant Fraud).

You will be responsible for ensuring data accuracy, efficiency, and strategic insights that enhance operational performance and risk management. Additionally, you will lead stakeholder engagements, aligning data solutions with business needs while driving best practices in business intelligence and staying ahead of industry trends.

Job Description

Operations Data Management : Oversee and analyze operations-related data, ensuring accuracy, consistency, and relevance. A sharp eye for detail and prior experience in Operations is crucial to identifying trends, inefficiencies, and opportunities for improvement. Data Strategy & Management : Oversee data retrieval, validation, and migration processes, ensuring high accuracy and efficiency. Manage critical data requests and provide insights that drive business decisions. Dashboard Development & Reporting : Design, maintain, and optimize user-friendly dashboards to provide clear, actionable insights for stakeholders. Able to answer “why” instead of “what” had happened. Automation & Process Improvement : Identify opportunities to enhance business intelligence operations through automation and workflow optimizations Stakeholder Engagement : Act as a key liaison between business teams and technical teams, effectively gathering requirements and translating them into data solutions. Manage priorities across departments to align with strategic goals. Data Governance & Compliance : Ensure data integrity, security, and compliance with internal and external policies. Data Literacy & Enablement : Promote data-driven decision-making by educating stakeholders on data interpretation, visualization best practices, and self-service analytics tools. Leadership & Mentorship : Guide junior analysts, providing support on technical skills, data storytelling, and best practices in business intelligence.

Requirements

Above 5 years of experience in Business Intelligence, Data Analytics, or a related field. Strong experience in Operations Data Management, with a keen eye for detail and operational insights. Expert proficiency in SQL including data ingestion and scheduler. Strong experience with Power BI, Tableau, and Excel / Google Sheets for data visualization and reporting. Solid understanding of data warehousing, relational databases, and ETL processes. Preferred experience in Python for Risk rules data modelling. Excellent problem-solving skills with a proactive approach to improving BI solutions. Leadership skills. Strong stakeholder management, communication, and presentation skills. Passion for driving data literacy and empowering teams with data-driven insights.

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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