Data Analyst

Company Description BillCut is a mission-driven fintech company focused on changing how India handles personal debt and credit. The team is made up of creators, problem-solvers, and curious minds who design simple, people-first solutions that reduce financial stress. Through seamless technology and partnerships with leading financial institutions, BillCut helps customers shift high-interest credit to lower-interest EMI plans. The company is committed to ending financial traps and empowering individuals from all walks of life to take control of their money. Team members join a culture that prioritizes asking “why,” challenging the status quo, and building a smarter financial future for millions of Indians.Role Description The Data Analyst role at BillCut is a full-time, on-site position based in New Delhi. This role is responsible for collecting, cleaning, and analyzing customer and product data to generate actionable insights that support product development, risk assessment, and business strategy. The Data Analyst will build and maintain dashboards and reports to track key performance metrics, identify trends, and support decision-making across teams such as product, marketing, and operations. Day-to-day tasks include working with multiple data sources, performing statistical analysis, validating data quality, and presenting findings in clear, accessible formats. The role also involves collaborating with cross-functional stakeholders to translate business questions into analytical problems and recommending data-driven improvements to customer experience and financial outcomes.Qualifications Candidates should possess strong Analytical Skills and hands-on experience in Data Analytics.Candidates should possess knowledge of Statistics and the ability to apply statistical methods to real-world business problems.Candidates should possess experience with Data Modeling, including organizing data structures for reporting and analysis.Candidates should possess solid Communication skills, with the ability to explain complex findings to non-technical stakeholders.Proficiency in tools such as Excel, SQL, and one or more analytics or BI platforms (e.g., Power BI, Tableau, Looker) is beneficial.Experience with programming languages used in data analysis (e.g., Python or R) is an advantage.A bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, Computer Science, or a related discipline is preferred.Prior experience in fintech, banking, or financial services, and familiarity with credit or lending products, is a plus.