Koramangala, Bengaluru 5 7 Years Industry: NBFC, Digital Lending, Banking, or Financial Services Work Mode: Onsite | Monday Friday, Day Shift

Role Objective

We are looking for a hands-on Senior Data Analyst to lead the Data and Business Intelligence function for a growing NBFC. The role will own portfolio analytics, reporting automation, dashboard development, data quality, and team delivery across Credit, Risk, Collections, Finance, Operations, and Product.

Key Responsibilities

- Lead the Data team, allocate work, review deliverables, mentor junior analysts, and establish reporting standards.
- Build and maintain Power BI dashboards for disbursal, AUM, collections, demand, collection efficiency, DPD, bounce, NPA, write-offs, recoveries, and portfolio performance.
- Conduct portfolio, vintage, static pool, cohort, repayment behaviour, and risk analysis to identify early-warning signals and business opportunities.
- Write and optimize complex SQL queries to extract, clean, validate, and reconcile data from LOS, LMS, CRM, payment systems, bureau partners, and third-party platforms.
- Automate daily, weekly, and monthly MIS, portfolio reports, collection reports, and management dashboards.
- Partner with Credit, Risk, Collections, Finance, Operations, Product, and Marketing teams to provide actionable insights and support decision-making.
- Create and maintain data dictionaries, reporting SOPs, query repositories, KPI definitions, and validation checks.
- Ensure a single source of truth for key business metrics across the organisation.

Required Skills

- 5 7 years of experience in Data Analytics, Risk Analytics, Business Intelligence, or Reporting.




- Mandatory experience in an NBFC, lending fintech, bank, or digital lending organisation.
- Strong SQL skills: joins, CTEs, subqueries, window functions, query optimization, and large dataset handling.
- Strong Power BI skills: data modelling, DAX, Power Query, dashboard development, refresh management, and performance optimization.
- Advanced Excel skills including Pivot Tables, complex formulas, reconciliation, trackers, and reporting automation.
- Working knowledge of Python or R for data analysis, automation, and predictive modelling is preferred.
- Experience with MySQL, SQL Server, PostgreSQL, AWS RDS, cloud databases, ETL processes, and APIs is preferred.

Lending Domain Knowledge

- Strong understanding of loan lifecycle: sourcing, underwriting, disbursal, repayment, collections, foreclosure, write-off, and recovery.
- Knowledge of AUM, DPD, PAR, NPA, collection efficiency, bounce rate, roll rate, vintage, static pool, and repayment behaviour.
- Familiarity with retail lending, MSME lending, credit bureau data, KYC, fraud checks, and RBI digital lending guidelines.

Leadership Skills

- Ability to lead a data team and manage multiple priorities independently.
- Strong business understanding, structured problem-solving, and attention to detail.
- Ability to present complex data insights clearly to senior management.
- Solid ownership, stakeholder management, and process-improvement mindset.

Disclaimer : This job posting has been aggregated from external source. Role detailscontentand availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Analyst (Bengaluru)
🏢 Sayyam Investments
📍 Bengaluru