Vacancy description
Tazapay
India, Delhi
SQL / Python Analytics Manager in Delhi, India is listed on Jobeax. Browse 30,000+ vacancies available.
Analytics Manager
Location: Saket, Delhi (Work From Office)
Experience: 5+ Years
Role Overview
We are seeking a talented and motivated Analytics Manager 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 5+ years of experience in business intelligence, analytics, or related fields.
Key Responsibilities
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 reconciliation 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 visualisations 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.
Qualifications
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
Skills – Good to Have
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.
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