Senior Data Analysis with 4+ years in Business Intelligence & Financial Services
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Assessing your cultural and operational fit
Data Analyst and Business Intelligence professional with 5 years of experience in financial services at Goldman Sachs and Deutsche Bank. Proficient in Power BI, SQL, Microsoft Excel, DAX, and Power Query with hands-on experience building interactive dashboards, ETL pipelines, and data models for trading and operations teams. Strong domain expertise in trade lifecycle, reconciliation, financial reporting, and data quality management. Adept at translating complex financial datasets into actionable insights, improving reporting efficiency, and collaborating with cross-functional stakeholders in fast-paced, high-volume environments.
Bharatiya Vidya Bhavan
Post Graduate Diploma in Management (PGDM)
August 1, 2018 – June 30, 2020
Utkal University
Bachelor of Commerce (B.Com)
August 1, 2014 – June 30, 2017
Goldman Sachs
Senior Analyst – Business Intelligence
March 1, 2023 – November 30, 2025
India
Deutsche Bank
Trade & Transaction Analyst - Private Wealth Management
April 1, 2022 – February 28, 2023
India
eClerx
Operations Analyst
April 1, 2021 – March 31, 2022
India
Sales Performance & Profitability Dashboard
June 1, 2026 – June 1, 2026
Developed an end-to-end Power BI dashboard analyzing 10,000+ sales records with KPI metrics (Sales, Profit, YoY Growth) using DAX and a star schema data model. Delivered insights on profitability, discount impact, and regional performance through interactive visualizations.
Trade Monitoring & Operational KPI Dashboard
June 1, 2026 – June 1, 2026
Built an end-to-end Power BI dashboard to monitor trade lifecycle KPIs including STP rate, break rate, and failed trade percentage. Developed all DAX measures, data models, and ETL pipelines from scratch - replicating real-world trade operations reporting.
Stock Market Data Analysis - Equity & FX
June 1, 2026 – June 1, 2026
Analyzed 50,000+ rows of financial trading data using advanced SQL (joins, CTEs, window functions, RANK, ROW_NUMBER) to surface performance trends and revenue patterns. Applied query optimization techniques to improve performance across large datasets.
Microsoft Certified: Preparing Data for Analysis with Microsoft Excel
Microsoft
June 1, 2026 – Present
Microsoft Power BI Data Analyst Associate (PL-300)
Microsoft
June 1, 2026 – Present
Microsoft Certified: Extract, Transform and Load Data in Microsoft Power BI
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, while focused on financial data, showcases a breadth of application within that domain (trade monitoring, stock analysis, sales performance). Their experience at large financial institutions like Goldman Sachs and Deutsche Bank indicates an ability to thrive in structured, high-performance environments. The combination of technical skills and domain expertise aligns well with the target role of Senior Data Analysis, particularly within a financial context.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills relevant to a senior data analysis role, including stakeholder management, data storytelling, requirement gathering, and process documentation. Their experience in fast-paced, high-volume financial environments suggests good stress handling and collaboration capabilities, aligning well with operational demands.