Ritika Kalyani

Business Analyst

Cleveland, Ohio, United States1 yr 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced daily processing time by 86% with automation.
Built 14 live dashboards for real-time KPI visibility.
Spearheaded A/B tests leading to 12% sales lift.

Stackforce AI infers this person is a Data Analyst with expertise in Fintech and Retail analytics.

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Skills

Core Skills

Data AnalysisBusiness AnalysisBusiness IntelligenceData Quality AssuranceData IntegrationUser Experience Analysis

Other Skills

SQLSnowflakePythonTableauAWSIT Business AnalysisBig Data AnalyticsPower BIMongoDBETL pipelinesAdobe AnalyticsSSISAzureServiceNowRelease Notes

About

I turn complex data into decisions that move the business forward, and I have the receipts. At JPMorgan Chase, I built automated validation pipelines that cut daily processing time from 5 hours to 40 minutes across 600K+ records, using Python, SQL, and Snowflake. I also replaced 20+ manual Excel reports with 14 live Tableau dashboards, giving leadership real-time visibility into liquidity KPIs and saving 4 hours weekly in briefing prep. Before that, at Infosys and Dell Technologies, I built ETL workflows, ran A/B tests that lifted conversion 12%, analyzed 2M+ user sessions to cut funnel abandonment, and documented BRDs and FRDs across 18+ system enhancements, bridging the gap between business requirements and technical delivery every time. I hold an M.S. in Business Analytics from Kent State University (GPA: 3.94) and work fluently across the full stack: SQL · Python (Pandas, NumPy) · Tableau · Power BI · AWS · Snowflake · Jira · Whether the role is Data Analyst, Business Analyst, or BI Analyst - I speak both languages: the business problem and the technical solution. Open to roles in financial services, retail, and e-commerce. Let's connect!

Experience

1 yr 6 mos

Total Experience

1 yr 6 mos

Average Tenure

Current Experience

Jpmorganchase

Business Analyst

Mar 2025 – Present · 1 yr 2 mos · Remote · Remote

Automated ETL validation rules in Python and SQL on AWS, reducing daily processing time by 86% (5 hours → 40 min) across 600K+ records, eliminating a full day of manual effort per week.
Led requirements elicitation workshops with 30+ stakeholders, translating credit risk and compliance needs into BRDs and Jira user stories that drove zero-delay regulatory submissions.
Replaced 20+ manual Excel reports with 14 Tableau dashboards, delivering real-time liquidity KPI visibility and saving 4 hours weekly in management briefing prep.
Validated and reconciled 1.5M+ transaction records across 8 internal systems using SQL on Snowflake, supporting daily fraud monitoring and control oversight.
Coordinated 120+ quarterly Jira Align tickets, managing dependencies across UAT planning, audit submissions, and regulatory reporting cycles.

SQLSnowflakePythonTableauData AnalysisBusiness Analysis

Infosys

Business Analyst

Sep 2021 – Apr 2023 · 1 yr 7 mos · India · On-site

Cleaned, standardized, and merged 1M+ row sales, inventory, and CRM datasets from AWS S3 and MongoDB, reducing downstream data-quality defects by 40%.
Automated compliance reconciliation in Excel and SQL across 900K+ records for 500 retail clients, eliminating 3 hours of manual effort per week.
Authored BRDs, FRDs, and 40+ BPMN 2.0 process maps for 18 customer support system enhancements, accelerating sprint delivery and reducing rework.
Built 5+ Tableau and Power BI dashboards tracking revenue, margin, and stock KPIs, cutting ad-hoc reporting requests by 30% and shortening decision cycles by ~25%.
Spearheaded 20+ A/B price and promotion tests, quantifying 10-15% sales lifts and directly informing future campaign strategy.

IT Business AnalysisBig Data AnalyticsTableauPower BIData AnalysisBusiness Analysis

Dell technologies

Business Analyst

Dec 2020 – Jul 2021 · 7 mos · Hyderabad · On-site

Integrated multi-source financial and sales data using SSIS, Python, and Azure, automating data checks and cutting manual reporting corrections by 50%.
Analyzed 2M+ user session records in Adobe Analytics to identify UX drop-offs, informing feature prioritizations that reduced funnel abandonment by 8%.
Executed 6 A/B tests in Adobe Target, driving a 12% increase in digital commerce conversion rates.
Built 4 Power BI dashboards with drill-downs for revenue, margin, and supply-chain KPIs, cutting recurring report prep time by 80% for finance and operations teams.
Documented BRDs and user stories for 3 banking workflow integrations, supporting real-time reconciliation and reporting rollouts end-to-end.

ETL pipelinesAdobe AnalyticsPower BIData AnalysisBusiness Analysis