Job Summary

We are looking for a highly analytical Data Analyst with 4+ years of experience to transform complex data into actionable business insights. The ideal candidate should be proficient in SQL, Excel, Power BI/Tableau, and Python, with experience in analyzing large datasets, creating dashboards, and supporting business functions such as Credit Risk, Operations, Collections, Marketing, and Product.

Key Responsibilities

- Collect, clean, validate, and analyze large datasets from multiple business sources.

- Write complex SQL queries to extract, transform, and analyze data.

- Design and maintain interactive dashboards using Power BI, Tableau, or similar BI tools.

- Prepare daily, weekly, and monthly MIS reports for business stakeholders.

- Analyze business performance, customer behavior, portfolio trends, and operational KPIs.

- Generate actionable insights to improve business performance and decision-making.

- Collaborate with Product, Risk, Operations, Sales, Marketing, and Finance teams to support data-driven initiatives.

- Automate recurring reports and improve reporting efficiency.

- Perform ad-hoc analysis to solve business problems and identify growth opportunities.

- Ensure data accuracy, integrity, and consistency across reporting systems.





- Monitor key metrics and highlight business risks and opportunities.

- Document data definitions, reporting processes, and analytical methodologies.

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, Data Science, or a related field.

- 4+ years of experience as a Data Analyst, Business Analyst, or MIS Analyst.

Required Skills

- Robust expertise in SQL (Joins, CTEs, Window Functions, Stored Procedures)

- Advanced Microsoft Excel (Pivot Tables, Power Query, XLOOKUP, INDEX-MATCH)

- Power BI or Tableau

- Python (Pandas, NumPy) for data analysis and automation

- Strong understanding of data visualization principles

- Statistical analysis and business reporting

- Data cleaning and validation

- Excellent analytical and problem-solving skills

Preferred Skills

- Experience in FinTech, NBFC, Banking, or Digital Lending

- Knowledge of Credit Risk, Collections, Fraud Analytics, or Portfolio Analytics

- Familiarity with AWS, BigQuery, Snowflake, Athena, or Databricks

- Experience with Loan Origination Systems (LOS) and Loan Management Systems (LMS)

- Understanding of ETL processes and data warehousing concepts

📌 Data Analyst - Fintech Only (Noida)
🏢 Growcap Creditwise
📍 Noida