Strategy and Operations Analyst

You’ll join Prodigal’s Strategy & Operations team, the consulting arm of the company. We partner with creditors in consumer finance (Banks, NBFCs & BNPLs and debt collection agencies) to transform how they engage with consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, data science, and client operations: designing strategy, building execution pipelines, and running experiments that deliver measurable lifts in recoveries and channel performance.

As a Strategy & Operations Analyst, you will work with the team to execute and scale high-impact strategies and initiatives for clients. You’ll both build and scale: owning live AI based strategies, testing new ideas, identifying and solving client challenges, and driving strategic initiatives.

This is beyond a traditional consulting role where impact ends at strategic recommendations. Here, you will own strategies end-to-end, from design to live execution. You’ll have visibility over their direct, measurable impact on real business outcomes. You’ll operate in a high-growth environment with accelerated learning, full ownership, and continuous exposure to CXOs. The role also offers periodic travel to the US for client meetings and industry conferences, giving you on-ground global exposure.

This role is designed as a fast-growth pathway into a Strategy & Operations Lead position, based on performance, learning velocity, and leadership readiness.

• →Act as a strategic advisor and industry expert to the CXOs of the customers you manage. They will rely on you for advice on what’s best for their business
• →Own end-to-end engagement strategy, defining strategies to drive improvements in collections & recoveries, self-serve usage, and consumer experience
• →Design structured experimentation frameworks by crafting hypotheses, choosing success metrics, and analyzing results to continuously refine strategy and inform scalable best practices
• →Partner with data science teams to shape and operationalize models (e.g., channel affinity, right-time-to-contact, offer logic), ensuring strategies correctly leverage behavioral patterns

• Develop insightful, scalable reports and dashboards to track key performance metrics and proactively track deviations, trends, and anomalies
• Lead the execution and monitoring of A/B tests to measure product improvements and optimize service delivery
• Continuously improve underlying processes and systems by designing structured experiments, analyzing results, and translating learnings into scalable improvements

• Bachelor's degree in Engineering, Mathematics or a related field (Tier 1 college from 2025 batch preferred)
• Deep interest in consulting or product management
• Relevant data analytics experience
• Proficiency in Excel, Python, SQL, and Tableau/other BI tools is preferred
• Excellent communication skills (written and verbal), with the ability to clearly present findings to stakeholders and team members

• Round 1
  • Intro and communication (15 minutes)
  • Problem/puzzle solving (30 minutes)
  • Case study (60 minutes)
• Round 2
  • Culture fit (20 minutes)
• Final Shortlist/Offer announcement