Business Analyst - Operations - Manila

Operations Data Analysis:

• Analyze operational performance data, identifying trends, patterns, and opportunities for improvement in credit risk, collections, and sales strategies.
• Create detailed reports on key operational metrics, including delinquency rates, recovery rates, sales cycle times, lead conversion rates, etc.
• Develop dashboards to track operational KPIs and help teams monitor performance against targets.

Balanced Scorecard & KPI Monitoring:

• Gather, analyze, and monitor KPI data relevant to operations and support teams to ensure timely and accurate scorecard reporting.
• Identify trends, patterns, and areas needing improvement in KPI performance.
• Assist in the regular review of departmental and individual KPIs, providing insights to the Business Development Supervisor and Corporate Planning Manager.
• Prepare reports and presentations on balanced scorecard metrics, highlighting areas that meet, exceed, or fall short of established targets.
• Propose enhancements to scorecard metrics and KPIs based on data insights and operational feedback.
• Collaborate with team members to recommend adjustments to processes or strategies that can improve KPI performance and communicate updates with the Business Development Supervisor regarding scorecard metrics.
• Engage with relevant departments to gather accurate data and clarify any questions regarding KPIs or scorecard metrics.

Strategic Planning & Forecasting:

• Collaborate with the Corporate Planning Manager and Operations teams to support strategic planning processes, including target setting, risk assessments, and performance reviews.
• Use historical data and market analysis to develop short- and long-term forecasts for loan performance, collections effectiveness, and sales growth.
• Provide data insights to shape business initiatives, market expansion, and risk mitigation strategies.

Process Improvement:

• Identify inefficiencies in operational processes within credit, collections, and sales functions, recommending automation or workflow optimization to enhance productivity.
• Work with IT and department teams to implement and optimize systems, ensuring accurate data tracking and reporting.
• Streamline workflows to reduce manual work, improve customer interactions, and enhance credit and collections processes.

Operations Forecasting & Reporting:

• Provide regular and ad hoc reports on sales pipeline health, credit risk exposure, and collections performance.
• Develop forecasting models to guide revenue planning, credit risk assessment, and target-setting.
• Present actionable insights to Operations leadership to drive data-driven decision-making and enhance overall operational efficiency.

Market Research & Competitor Analysis:

• Conduct market research to identify business opportunities, emerging trends, and potential risks posed by competitors.
• Analyze competitor strategies and operational practices, providing insights to keep the company competitive.
• Incorporate market insights into broader operational strategies to improve market positioning.

Compliance & Policy Adherence:

• Ensure that credit and collections activities align with company policies, regulatory requirements, and risk management guidelines.
• Support internal audits by providing data and insights related to operations and compliance.
• Recommend policy adjustments based on post-review analysis to strengthen risk management and reduce default exposure.

Collaboration & Stakeholder Engagement:

• Act as a liaison between Operations and Corporate Planning, ensuring operational data aligns with overall business goals.
• Collaborate with Sales & Marketing, Credit & Collections, Finance, and IT departments to ensure seamless communication and data flow across functions.
• Engage with department leaders to ensure reporting needs are met and guide data-driven decision-making.

• Bachelor’s degree in Business, Finance, Economics, or a related field.
• 3+ years of experience in a business analyst role in the financial services or lending industry, preferably supporting credit, collections, or sales operations.
• Proficiency in data analysis tools (e.g., Excel, Tableau, Power BI) and CRM systems.
• Strong analytical and problem-solving skills, with the ability to derive clear insights from complex data.
• Experience with process improvement, forecasting, and KPI tracking for credit, collections, or sales.
• Excellent communication skills with the ability to present complex data insights to stakeholders.