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 prospects.
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
Robust 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