Aditya Jain

Business Development Executive

Udaipur, Rajasthan, India6 yrs 6 mos experience

Key Highlights

Expert in data visualization and statistical analysis.
Proven track record in driving high-impact analytics.
Strong collaborator across cross-functional teams.

Stackforce AI infers this person is a Data Analyst specializing in Fintech analytics and data-driven decision-making.

Contact

Skills

Core Skills

Data AnalysisStatistical Analysis

Other Skills

SQLLooker StudioPythonExcelData VisualizationExperimentation DesignIncident AnalyticsFinancial Data AnalyticsMicrosoft ExcelTableauWeb DevelopmentHTMLCascading Style Sheets (CSS)JavaScriptGithub

About

Passionate about leveraging data to uncover actionable insights that drive strategic decision-making and business growth. I excel in translating complex datasets into clear, compelling narratives. Key strengths: 🚀 Data Visualization: Transforming raw data into visually engaging dashboards and reports using tools like Tableau. 📈 Statistical Analysis: Applying advanced statistical techniques to extract valuable insights and support data-driven strategies. 💡 Problem-Solving: Identifying trends, patterns, and outliers to address challenges and optimize processes. 🔧 Data Management: Ensuring data accuracy, integrity, and consistency through meticulous data cleaning and validation. I have a proven track record of collaborating cross-functionally to deliver impactful solutions and drive continuous improvement. Let's connect and discuss how I can contribute to your team's success with my data expertise!

Experience

6 yrs 6 mos

Total Experience

1 yr 2 mos

Average Tenure

8 mos

Current Experience

Expedia group

Senior Business Intelligence Analyst

Sep 2025 – Present · 8 mos · Gurugram, Haryana, India · Hybrid

Uber

Senior Data Analyst

Aug 2023 – Sep 2025 · 2 yrs 1 mo · Hyderabad, Telangana, India · Hybrid

Working in the Uber’s Payments experience team to drive high-impact analytics, optimize payment processes, and enhance operational performance across multiple global markets.
Key Projects and Achievements:
Global Payout Monitoring: Built and automated Looker Studio dashboards to track daily payout success rates (DSR), trends, PSP performance, and failure reasons by country.
Root Cause Analysis: Investigated transaction failures and delays, identifying top error drivers and enabling targeted fixes that improved payout visibility and reliability.
Incident Analytics: Led deep-dive analyses on high-priority payment and disbursement incidents, quantifying user and revenue impact, identifying affected geographies, and producing actionable insights for rapid resolution.
Advanced SQL Development: Designed and optimized queries on multi-billion row datasets, joining fact and dimension tables for real-time reporting.
Experimentation & A/B Testing: Validated product changes and bug fixes, including a 10% uplift in Apple Pay transactions post-issue resolution, using proper statistical testing and p-value validation.
Stakeholder Collaboration: Partnered with Product, Engineering, and Ops teams to resolve high-priority incidents and improve payment processing flows.
Tech Stack: SQL (Presto, Hive), Looker Studio, Python, Excel, Data Visualization, Experimentation Design, Incident Analytics, Financial Data Analytics.