Credit & Collections Analytics Manager

Job Description 

At our company, we hold an uncompromising stance against mediocrity, committing ourselves to work that delivers audacious impact and is fueled by a pioneering spirit of continuous progress and innovation. This ambition is supported by leadership grounded in courage and clarity—ensuring alignment, accountability, and purpose in everything we do. Integrity shapes how we hire, recognize, and develop talent, with a focus on potential, ambition, and long term growth. Together, we operate with collective strength, prioritizing meaningful results over unnecessary rituals and navigating challenges with unity and resolve. Above all, we remain steadfast and resilient, never losing sight of our commitments and continuously pushing forward through complexity with determination and purpose to create a better life for all. 

• Drive advanced analytics across customer lifecycle, product portfolio, service operations, and customer experience journeys to generate actionable business insights and support strategic decision-making especially for postpaid business.

• Develop predictive models and analytical frameworks for customer behavior, churn, payment propensity, risk assessment, service usage, and operational performance optimization.

• Design, automate, and manage enterprise dashboards, governance reports, and monitoring systems for business, customer experience, and operational performance tracking.

• Analyze large and complex datasets from multiple sources using SQL, Python, Tableau, Power BI, or similar tools to identify trends, risks, revenue opportunities, and customer pain points.

• Partner with cross-functional teams including Product, CX, Commercial, Finance, Technology, and Operations to drive data-backed business transformation initiatives.

• Support customer journey optimization initiatives by identifying repeat drivers, process gaps, experience bottlenecks, and automation opportunities across digital and assisted channels.

• Drive vendor and partner performance analytics through KPI governance, operational benchmarking, SLA monitoring, and insight-driven performance improvement recommendations.

• Monitor collection performance, DSO trends, and customer risk indicators while recommending corrective actions to minimize debt exposure and improve collection efficiency.

• Lead automation and continuous improvement initiatives to enhance operational efficiency, reporting accuracy, governance visibility, and decision turnaround time.

• Develop data governance standards, analytical best practices, and scalable reporting frameworks to strengthen organizational data maturity and business intelligence capability.

• Leverage big data analytics and AI-driven insights to support proactive customer engagement, business forecasting, operational optimization, and strategic planning initiatives.

Academic Qualification

• Bachelor’s degree in Computer Science or MIS or related discipline from a reputed university.

Job Experience Required

• 4-5 years of data analysis experience; 1- 2 years in a relevant field will be preferred

Required Capabilities

• Strong analytical and problem-solving capability.

• Proficiency in SQL, Python, Tableau, Power BI, MicroStrategy, or similar analytical tools.

• Knowledge of database management and data warehousing concepts.

• Strong understanding of credit risk management and collection processes.

• Ability to develop dashboards, automation frameworks, and predictive models.

• Excellent communication and stakeholder management skills.

• Strong business acumen with the ability to convert data into actionable insights.