Ram Narayan Tiwari

Business Analyst

Noida, Uttar Pradesh, India2 yrs 1 mo experience

Key Highlights

Data Analyst Hackathon Winner at Grow Data Skill.
Automated reporting processes, improving efficiency by 40%.
Strong command in Python, SQL, and Power BI.

Stackforce AI infers this person is a Data Analyst with expertise in Fintech and data automation.

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Skills

Core Skills

Data AnalysisSqlBusiness Analysis

Other Skills

Microsoft ExcelSQL Server Management StudioPower BIAdvanced ExcelPythonSAP ERPMicrosoft Power BIMicrosoft AccessT-SQL Stored ProceduresStrategic Account GrowthOperational EfficiencyFinancial Variance AnalysisBusiness RequirementsCommunicationAccount Reconciliation

About

👋 Hello my name is Ram Narayan Tiwari. 🙃 I've done 3 month data analyst training at Grow Data Skill. 🏆 Data Analyst Hackathon Winner (3rd Rank) @Grow Data Skill . 🙃 I've strong command in python, Microsoft excel, MYSQL, SQL, Oracle and Power BI. 🙃 I've good knowledge in C , C++ programming languages. 🌱 I’m currently learning Advance Python programming language and Power Bi. 💞️ I’m looking to collaborate on Data Analyst Projects to gain some knowledge. ⭐ I've done 10+ projects using Python , MYSQL, MS Excel and Power BI.

Experience

2 yrs 1 mo

Total Experience

1 yr

Average Tenure

1 yr

Current Experience

Solv

Senior Specialist

May 2025 – Present · 1 yr · Noida, Uttar Pradesh, India

1. Collect, clean, and organize financial and operational data from finance systems, bank reports, and seller transaction sources to support accurate reconciliation, improving data processing efficiency by 20%.
2. Generate and automate daily, weekly, and monthly revenue reconciliation reports, highlighting pending amounts, received payments, and partner-wise discrepancies. 3. Perform end-to-end bank reconciliation, match company books with bank statements, investigate mismatches, and coordinate with relevant teams for root cause resolution.
4. Automated payment validation routines using SQL to prevent incorrect settlements for orders with short or missing buyer collections, safeguarding financial data integrity.
5. Prepare daily payment advice reports, mapping bank transaction details (seller IDs, UTR, settlement amounts) with internal records to ensure accurate settlements.
6. Analyzed FOS data on buyer interactions, lead generation and GMV impact to provide visibility into field performance and revenue contribution.
7. Use SQL, Power BI, Advanced Excel, and Python to automate reporting, build interactive dashboards, and streamline reconciliation workflows, enhancing overall data accuracy, reducing errors by 30% and improving reporting speed by 40%.
8. Collaborated cross-functionally with Finance, Operations, and Banking teams to support smooth settlement processes and resolve complex data and financial discrepancies.

Microsoft ExcelSQL Server Management StudioData AnalysisSQL