Data Analyst

• Provide business insight through metrics, reporting, and variance analysis coming from in-depth analysis
• Prepares, develops and analyses daily, weekly, monthly reports and presentations on Key Performance Indicators and other key statistical data in a call center inbound/customer service programs
• Perform market analysis in supporting business decision making
• Runs and analyzes reports with the result of making recommendations for adjusting staffing levels to meet departmental productivity and profitability goals
• Review and analyze the effectiveness and efficiency of existing systems and develop strategies for improving or further leveraging these systems
• Analyze and present relevant data in easy to understand format/dashboards or file automation to aid timely decision making, provide insightful discoveries and recommendations and optimize processes
• Detail oriented, independent, proactive and able to work under pressure to meet deadlines

Business Analytics Specialist

• Manage and maintain a comprehensive user tagging system to support personalized services and risk control initiatives.
• Analyze user behavior data to build accurate, dynamic, and actionable user profiles.
• Perform data mining, feature engineering, and exploratory analysis to extract meaningful insights from large-scale datasets.
• Collaborate closely with cross-functional teams, including Product, Risk, Marketing, and Technology, to optimize user segmentation and targeting strategies.
• Monitor and evaluate the effectiveness of user tags and user profiles, continuously improving data quality, accuracy, and relevance.
• Support the implementation of data-driven decision-making processes across the organization.
• Identify patterns, anomalies, and emerging trends in user behavior to support business growth and risk mitigation.
• Contribute to the continuous improvement of data methodologies, profiling frameworks, and analytical processes.

Data Analyst, Risk

• Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
• Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
• Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
• Be part of a fast-paced industry and organisation where time to market is critical

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Business Analytics Specialist

Data Analyst, Risk

Business Intelligence, Data Analyst