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Salary
≈ $17k – $43k per year (Estimated)
Location
In office (Mumbai)
Seniority
Middle · 4+ years exp

First seen by Alion on Sep 11, 2026.

Overview
Company
Impact
Profile match
Minimal infrastructure, the handful of clients and a courageous soul. It is how Skillventory comes into existence. The aim was to replace the old patterned recruitment structure with the unique approach, unbeatable process and proprietary technology, to source and screen the candidates.

About the Role :

We are looking for an experienced Business Analyst / Business Analytics professional with strong expertise in customer analytics, predictive modeling, and campaign optimization within the Banking or NBFC domain. The ideal candidate should have hands-on experience in propensity, cross-sell, up-sell, behavioral modeling, customer segmentation, and translating analytical insights into actionable business strategies.

Responsibilities :

- Develop, enhance, and monitor propensity, cross-sell, up-sell, behavioral, and offer-generation models to support customer growth and engagement.

- Partner with business, marketing, product, and customer teams to identify customer growth opportunities and develop data-driven campaign strategies.

- Perform advanced customer segmentation based on behavioral, transactional, demographic, and product-level attributes.

- Analyze campaign performance, customer response, conversion, and engagement metrics to optimize targeting and improve campaign effectiveness.

- Develop and refine dynamic offer logic and next-best-offer recommendations based on customer behavior and business objectives.

- Monitor model performance, identify gaps or changes in customer behavior, and recommend improvements to analytical models and strategies.

- Work with large customer and transaction datasets to identify trends, patterns, opportunities, and risks.

- Translate complex analytical findings into clear, actionable recommendations for business and senior stakeholders.

- Collaborate with data science, technology, product, marketing, and business teams to implement analytical solutions and ensure successful adoption.

- Establish appropriate documentation and governance around models, analytical methodologies, assumptions, and performance monitoring.

- Continuously identify opportunities to improve customer targeting, campaign ROI, cross-sell, up-sell, and overall portfolio growth.

Tech Stack :

- SQL, Python/R for data extraction, manipulation, analysis, modeling, and validation.

Requirements :

- 4 - 9 years of experience in Business Analytics, Customer Analytics, Marketing Analytics, or a related analytical role, preferably within Banking or NBFC.

- Strong hands-on experience in propensity modeling, behavioral modeling, cross-sell/up-sell analytics, and offer or next-best-action logic.

- Strong understanding of customer segmentation, campaign analytics, targeting, and customer lifecycle management.

- High proficiency in SQL and strong hands-on experience with Python or R for data analysis and modeling.

- Experience working with large customer, transactional, or financial datasets.

- Strong understanding of statistical and predictive modeling concepts and model performance monitoring.

- Ability to translate analytical outputs into business strategies, customer growth initiatives, and actionable recommendations.

- Strong stakeholder management and communication skills, with the ability to work effectively with business and technical teams.

- Strong analytical thinking, problem-solving, and structured decision-making skills.

- Experience in a Banking, NBFC, FinTech, cards, lending, or financial services environment is preferred.

Skills

SQL, Python, R, Business Analyst, Analytics, Data Analytics, Data Modeling

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