Post Job Free
Sign in

Data Analyst Business

Location:
Scranton, PA, 18510
Salary:
70000
Posted:
September 02, 2025

Contact this candidate

Resume:

Krutik Desai

Business Data Analyst

(***) ***- **32 *************@*****.*** Scranton, PA LinkedIn US Citizen SUMMARY

Business Data Analyst with 3+ years of experience in financial data reporting, automation, and compliance. Skilled in Python, SQL, and dashboard tools to improve reporting accuracy, speed, and regulatory alignment. Strong background in analyzing trade lifecycle data and simplifying complex processes across teams. SKILLS

Data Analysis & Reporting: Python (Pandas), SQL, GS Quant, Data Cleansing, Normalization Business Analysis: BRD/FRD, Agile Ceremonies, KPI Definition, Gap & Process Analysis Data Visualization & Automation: Power BI, Tableau, Executive Dashboards, Python & Report Automation Stakeholder Engagement: Cross-functional Collaboration, Agile Team Communication, Product Liaison Market & Competitive Analysis: Market Research, Portfolio Analytics Data Integration: SQL, Multi-source Data Integration Process Improvement: Risk Reporting, Incident Analysis, Deployment Optimization Financial/FinTech Expertise: Basel III, CCAR, Trade Lifecycle (Front to Back Office), KYC/AML, Investment & Asset Management, Financial Instruments (Equities, Fixed Income, Derivatives) EXPERIENCE

Business Data Analyst State Street, USA Jan 2024 – Present

Led the development of regulatory reports (Basel III, CCAR), ensuring 100% compliance and reducing audit exceptions by 30% through robust data validation frameworks.

Designed and implemented executive dashboards in Power BI and Tableau, enabling real-time visibility into key financial KPIs and improving reporting efficiency by 40%.

Facilitated cross-functional BRD/FRD workshops, aligning front-to-back-office operations with regulatory data requirements and reducing delivery delays by 25%.

Conducted comprehensive trade lifecycle analysis across Equities, Fixed Income, and Derivatives, leading to process enhancements that reduced operational bottlenecks.

Automated complex data pipelines using Python (Pandas) and SQL, improving data accuracy and reducing manual intervention by 50%.

Streamlined risk reporting processes and performed root cause analysis on incidents, resulting in a 20% improvement in incident response time.

Collaborated with Agile teams and product managers to translate business goals into data solutions, enhancing communication flow and accelerating sprint delivery cycles. Data Analyst Northern Trust, USA Jan 2022 – Dec 2023

Developed end-to-end automated reporting solutions using Python and SQL, reducing manual reporting time by 60 hours/month and improving data reliability.

Created dynamic dashboards in Tableau to visualize user behaviour, product usage, and churn trends, directly contributing to a 15% increase in customer retention.

Partnered with product and engineering teams to define and analyze KPIs in Agile sprints, ensuring analytics supported product roadmaps and feature launches.

Led competitor benchmarking and market research analysis, providing insights that influenced pricing strategy and new feature development.

Integrated and cleaned data from multiple internal systems and third-party APIs, increasing reporting completeness and enhancing trust in analytics outputs.

Analyzed KYC/AML workflows to identify compliance gaps, supporting process redesigns that cut onboarding time by 20% and improved regulatory alignment.

Improved data quality controls and implemented QA checks, reducing reporting errors by 35% and increasing stakeholder confidence in analytics deliverables.

EDUCATION

Bachelors in Science Dec 2023

Pennsylvania State University, PA, USA



Contact this candidate