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TazaPay, a cross-border trade platform, is hiring a Senior Business Analyst in Saket, New Delhi (Work From Office). You will gather, analyze, and visualize data to deliver actionable insights that improve decision making and financial performance.
The ideal candidate has 4+ years in BI or analytics, strong SQL and Excel skills, and the ability to present complex findings to non-technical audiences. You will collaborate with Finance, Sales, Operations, Product and Tech to align analytics with
TazaPay is a trade management platform for small- and medium-sized businesses (SMBs) to conduct cross-border commerce safely.
It will bring together the best technologies and financial services that are only available to the large companies today and make them accessible to the SMBs.
We are trying to address the unmet needs of millions of exporters and importers who not have access to the essential tools for doing cross-border trade such as trade protections via escrow, currency hedging and finance
Lack of trust is one of the biggest inhibitors for B2B cross border business. Buyers and sellers tend to work only with known and trusted parties thereby limiting their business opportunities. Our platform will enable access to various services for doing cross-border trade safely - such as counterparty risk assessment, trade assurance and trade protections via escrow
Our goal is to enhance trust in the trade process so that SMBs feel confident about doing more business with overseas counterparties
Our platform is cloud-based and easy to use. Our mobile and web apps simplify and digitalize every step of the process. Using our cloud-based platform, the SMBs can do more business with trusted parties in a trusted and convenient manner.
Senior Business Analyst
Saket, New Delhi (Work From Office)
4+ years
We are seeking a talented and motivated Senior Business Analyst to join our team. In this role, you will be responsible for gathering, analyzing, and visualizing data to deliver actionable insights that drive business decisions and improve performance. The ideal candidate will have a strong analytical mindset, excellent communication skills, and 4+ years of experience in business intelligence, analytics, or related fields.
Support daily, weekly, and monthly financial reporting, including volumes, revenues, fees, FX margins, and payout costs across corridors and providers.
Assist Finance in balance, settlement, and ledger reconciliations to identify mismatches, delays, or leakage.
Build reports to monitor fund movements, wallet balances, and float positions across partners and internal entities. Build and maintain reports to support regulatory and compliance reporting requirements.
Develop and maintain dashboards, reports, and data visualizations to communicate key insights to stakeholders.
Provide analytical input for new product development and operational process optimization.
Collaborate with Sales, Operations, Finance, Product, and Tech teams to align analytics efforts with organizational goals.
Perform ad-hoc analysis and data mining to support strategic initiatives and decision-making.
Coordinate with external payment partners to ensure accurate and timely data reconciliation.
Stay up-to-date with industry trends and best practices in business intelligence and data analytics.
Bachelor’s degree in Engineering or a related discipline.
4+ years of experience in business intelligence, data analysis, or a similar role.
Strong command over SQL, Excel, and a BI tool (preferably Superset or Tableau).
Excellent analytical and problem-solving skills, with the ability to troubleshoot issues in a structured manner.
Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
Ability to work both independently and collaboratively in a fast-paced environment.
Prior experience in reconciliation and regulatory reporting
Experience with payments, fintech, or financial services data
Familiarity with automation tools such as n8n and python to streamline repetitive tasks.
Understanding of ETL processes and data pipelines to collaborate effectively with data engineering teams.