Data Analyst - Campaigns & Insights (Collections)

Hiring for: One of India’s leading non-banking financial companies (NBFCs), focused on driving financial inclusion across rural and semi-urban markets.

Role: Data Analyst - Campaigns & Insights (Collections)

Positions: 1

Experience: 2 to 5 years

Location(s): Mumbai

Type: On-site / Permanent

Salary: Up to INR 19 LPA (Includes 5% to 10% of variable pay)

1. Job Purpose Statement

We are looking for a highly skilled Campaign Analytics & Insights Analyst to join our Collections Analytics team within BFSI. This role is pivotal in driving data-led collections outcomes by enabling campaign planning, execution, performance analytics, and insight generation across digital and assisted channels. The incumbent will work closely with Collections Business, Strategy, and Execution teams to translate business objectives into data-driven segmentation, targeting, prioritization and experimentation frameworks.

The role demands strong hands-on capabilities in SQL-based data mining, Python / PySpark, and a modern analytics workflow that leverages AI coding assistants/GenAI capabilities to improve productivity, code quality, and speed of delivery. The candidate should be comfortable with AI/ML concepts and apply these concepts in practical collection use-cases such as roll-rate management, cure strategies, contactability improvement, and allocation optimization.

2. Duties & Responsibilities

a. Campaign Planning & Execution (Collections)

- Design and execute collections campaigns with targeting and segmentation logic

- Manage campaign cohorts such as early bucket, PTP recovery, roll-back prevention

- Own end-to-end campaign analytics including base creation and execution tracking

- Drive A/B testing and champion-challenger frameworks

b. Data Mining, Engineering & Analysis

- Perform deep-dive data mining using SQL across collections and customer datasets

- Develop and optimize scalable data transformations using Python / PySpark

- Build reusable analytical pipelines for campaign base creation and tracking

- Ensure data quality through validations and automated monitoring

c. Performance Measurement & Insights Generation

- Build measurement frameworks for campaign effectiveness (cure rate, roll rate, etc.)

- Generate actionable insights and recommend optimization strategies

- Translate findings into business decisions and improvements

d. AI/ML & GenAI-enabled Delivery

- Apply AI/ML models for collections targeting and prioritization

- Use AI tools for coding productivity and automation

- Collaborate with Data Science teams for model deployment

e. Collaboration & Stakeholder Management

- Work with Collections, Tech, Risk, and Operations teams

- Present insights to stakeholders in a clear and structured manner

- Ensure compliance with BFSI data governance policies

3. Key Challenges

- Understanding complex collections processes and customer journeys

- Measuring campaign incrementality and true impact

- Delivering speed with accuracy in execution

- Managing multiple stakeholders and priorities

4. Decision Making Authority

- Manage day-to-day analytics and campaign execution independently

- Strategic decisions to be aligned with leadership

5. Stakeholders

- Internal: Collections, Risk, Data Science, IT, Product

- External: Vendors, Agencies, Technology partners

6. Organisational Relationship

(Head – Collections Analytics / Department Head – Data Science)

Campaign Analytics & Insights Analyst

7. Job Requirements

Professional Qualification

- MBA (Data science integrated courses) or Data Science / Engineering from reputed institute

- 3–5 years of experience in BFSI (Collections)

- Proven track record in campaign analytics and insights

Knowledge

- Strong understanding of collections lifecycle and metrics

- Familiarity with analytics workflow and AI/ML concepts

- Exposure to GenAI tools for productivity

Skills

- Advanced SQL and data mining

- Strong Python / PySpark skills

- Campaign analytics and experimentation

- Stakeholder communication

Attitude

- Ownership and execution focus

- Customer-centric mindset

- Continuous learning attitude

- Strong collaboration skills