Razorpay is hiring a Data Analyst – Business Finance for its Bengaluru office. This opportunity is suitable for candidates with 0–2 years of experience who have hands-on knowledge of SQL, Python, and AI-powered tools. The selected candidate will support the finance team by analysing business data, automating recurring reports, improving data accuracy, and developing workflows that reduce manual effort. The role combines financial analytics with automation, making it relevant for candidates interested in business intelligence, data analysis, and AI-assisted reporting within the fintech industry.
Razorpay is looking for a data-focused professional who can turn business and financial information into reliable reports and actionable insights. As a Data Analyst in the Business Finance team, you will work on reporting requirements, data validation, process improvements, and AI-powered automation. This role offers exposure to the analytical requirements of a large fintech company, where accurate reporting and efficient financial processes support business decision-making. Candidates who enjoy working with structured data, writing SQL queries, using Python, and experimenting with AI tools will find the responsibilities relevant to their interests.
Key Responsibilities
The selected candidate will support the Business Finance team in managing its data and reporting requirements. The work involves preparing accurate reports, identifying opportunities to automate repetitive tasks, and ensuring that business stakeholders receive dependable information.
Responsibilities include:
Business reporting: Develop and maintain automated reports that help the finance team monitor business performance and review financial information.
SQL-based data analysis: Extract, filter, join, and aggregate data from relevant sources to answer business questions and support reporting requirements.
Python automation: Use Python to streamline recurring analytical tasks, reduce manual data processing, and improve the efficiency of reporting workflows.
AI-powered workflows: Explore and use Claude and other AI tools to support analytical tasks, automate suitable processes, and improve productivity.
Data accuracy: Validate datasets, identify inconsistencies, investigate discrepancies, and maintain the reliability of business reports.
Process improvement: Identify repetitive or inefficient finance workflows and recommend practical automation solutions.
Stakeholder support: Work with finance team members to understand reporting requirements and deliver data outputs that meet their business needs.
The role requires a combination of technical ability, analytical thinking, attention to detail, and an understanding of how data supports business operations.
Technical Skills and Tools
SQL and database querying are important for extracting and analysing business data. Candidates should understand filtering, joins, aggregations, subqueries, and common table expressions. Knowledge of window functions can also help when building more advanced reports.
Python programming is relevant for automating data preparation and repetitive reporting tasks. Familiarity with Pandas, data manipulation, file handling, and basic error handling can help candidates develop reliable analytical workflows.
AI tools such as Claude are specifically mentioned in the job requirements. Candidates should be comfortable using AI tools to assist with SQL development, Python scripting, data exploration, documentation, and workflow automation. They should also be able to validate AI-generated outputs instead of relying on them without verification.
Business intelligence tools such as Power BI and Tableau are desirable. Experience creating dashboards, defining metrics, and presenting analytical findings can strengthen an application, although these tools are listed as good-to-have skills rather than mandatory requirements.
Skill | Importance |
|---|---|
SQL | Required |
Python | Required |
Claude and other AI tools | Required |
Power BI or Tableau | Good to have |
Reporting automation | Relevant to the role |
Data validation and accuracy | Relevant to the role |
Business and financial analysis | Relevant to the role |
Eligibility and Experience
Razorpay specifies 0–2 years of experience in reporting, analytics, and AI. This makes the opportunity relevant to recent graduates and early-career professionals who can demonstrate the required technical skills.
Candidates should have hands-on experience with SQL, Python, Claude, or comparable AI tools. Practical projects, internships, and portfolio work can help demonstrate these abilities, particularly when they show how raw data can be transformed into accurate reports or automated workflows.
A degree in Information Technology, Computer Science, Engineering, Statistics, Mathematics, Finance, or a related discipline may be relevant to this type of analytical position. However, the provided job description does not specify a mandatory degree or branch requirement, so applicants should check the official application form for any additional eligibility conditions.
The job posting also does not specify a minimum CGPA, a mandatory certification, or a particular number of years of Python or SQL experience.
Work location: Bengaluru, Karnataka. Candidates should be prepared to work from the Bengaluru office, as the application form explicitly asks whether applicants are willing to work from the office.
What the Business Finance Team Needs
This position focuses on the practical use of data and automation in finance operations. The objective is not simply to generate reports but to make the reporting process more accurate, repeatable, and efficient.
For example, a recurring finance report might require combining data from multiple sources, calculating business metrics, checking for missing values, and presenting the results in a consistent format. SQL can handle the extraction and aggregation, Python can automate data preparation, and AI tools can assist with selected development and documentation tasks.
The candidate must still verify the underlying calculations, business definitions, and final outputs. Financial reporting depends on accuracy, and an automated workflow is useful only when its results can be trusted.
Candidates who understand data quality, reproducible reporting, and basic analytical problem-solving will be better prepared to handle these responsibilities.
How to Prepare for the Role
Candidates preparing for this opportunity should focus on practical examples rather than relying only on theoretical knowledge.
SQL preparation: Practise joining multiple tables, aggregating financial or transaction data, identifying duplicate records, handling NULL values, and writing queries using CTEs and window functions.
Python preparation: Build scripts that read CSV files, clean inconsistent records, calculate business metrics, and export structured reports. Pandas is particularly useful for these tasks.
AI workflow preparation: Practise using Claude or another AI assistant to help write SQL queries, generate Python functions, document analytical workflows, and identify potential data-quality issues. Verify every result against known examples.
Reporting preparation: Build a small dashboard using Power BI or Tableau. Choose meaningful KPIs, explain their definitions, and ensure the displayed values match the underlying dataset.
Project preparation: A transaction analytics project can demonstrate relevant skills. For example, analyse payment transactions to calculate daily transaction volume, successful payment rates, failed transactions, and transaction-value trends. Automate the data preparation and reporting process with Python and SQL, then document the validation checks.
During interviews, be prepared to explain how you approached a reporting problem, validated the results, handled unexpected data, and decided which parts of the workflow could be automated.
Application Form Details
The official application form requests the following information:
First name and last name
Email address and phone number
Country
Resume or CV
Employment history, including company name, title, and dates, where applicable
LinkedIn profile
Total years of experience
Gender
Current company
Current designation
Willingness to work from the office in Bengaluru
Applicants should provide accurate information and ensure that their resume clearly presents relevant experience, technical skills, internships, and projects. Recent graduates without prior full-time employment should enter their employment history truthfully rather than inventing work experience.
Keywords for Resume
Data Analyst • Business Finance • SQL • Python • Claude AI • Generative AI • AI-Powered Automation • Business Analytics • Financial Reporting • Reporting Automation • Data Analysis • Data Validation • Data Quality • Process Improvement • Pandas • Power BI • Tableau • Dashboard Development • Business Intelligence • Fintech Analytics
Final Thoughts
The Data Analyst – Business Finance position at Razorpay is relevant for early-career candidates who combine SQL and Python skills with an interest in reporting, business analysis, and AI-powered automation. Applicants should highlight practical projects that demonstrate accurate data analysis, reliable reporting, and measurable improvements to repetitive workflows. Power BI or Tableau experience can provide an additional advantage.
The above article is written by me, a person interested in technology, automobiles, modern gadgets, movies, music, and clean aesthetics.
