Neha Upadhyay

Business Analyst

Noida, Uttar Pradesh, India3 yrs 5 mos experience

Key Highlights

134% revenue growth through data-driven strategies.
Expert in transforming complex data into actionable insights.
Strong collaborator with cross-functional teams.

Stackforce AI infers this person is a Business Intelligence and Data Analytics expert in TravelTech and E-commerce.

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Skills

Core Skills

Business IntelligenceData AnalysisData Analytics

Other Skills

SQLPythonExcelPower BITableauETLAnalytical SkillslookersPostgreSQLExtractTransformLoad (ETL)Exploratory Data AnalysisBusiness RequirementsCompetitive Analysis

About

Business Intelligence & Data Analyst with 3.5+ years of experience driving revenue growth and data-driven decision-making across TravelTech and E-commerce. Expert in transforming complex data into actionable insights, scalable dashboards, and automated data solutions that directly impact business performance and strategy. Proficient in SQL, Python, Excel, Power BI, and Tableau, with strong experience in KPI framework development, demand forecasting, customer analytics, and business metric design. At Yatra, delivering P&L insights and performance analytics for Hotel & Corporate Supply, enabling faster and more effective strategic decisions. Previously, built ETL pipelines, automated reporting systems, and BI dashboards that contributed to: 134% revenue growth Improved data reliability and reporting efficiency Better decision-making through structured KPI tracking Strong collaborator with product, business, and data teams, known for turning data into measurable business impact.

Experience

3 yrs 5 mos

Total Experience

2 yrs 6 mos

Average Tenure

11 mos

Current Experience

Yatra online ltd.

Businees Intelligence Analyst

Jun 2025 – Present · 11 mos · Gurugram, Haryana, India · On-site

In this role, I lead analytics for the Hotel & Corporate Supply team, managing P&L for Hotels while tracking GMV, GR, SP, marketing spend, and fixed costs to ensure daily target achievement. I translate business requirements into scalable analytical solutions by leveraging SQL, Python, and Excel for deep-dive analysis, trend identification, and forecasting.
Business Translation & Clarity: Converted complex business requirements into clear data specifications, improving stakeholder clarity by 30% and reducing rework.
Advanced Analytics: Conducted in-depth analysis using SQL, Python, and Excel, uncovering insights that improved operational efficiency by 15%.
Process Optimization: Designed SOPs, BI dashboards, and workflow automation, cutting manual effort by 25% and reducing turnaround time by 20%.
Forecasting & Statistical Modeling: Applied predictive models for demand forecasting, improving forecast accuracy by 18% and supporting revenue strategies.
Collaboration & Delivery: Partnered with category teams, affiliate partners, and regional heads, ensuring 95% on-time delivery of business initiatives and aligning strategies to achieve P&L goals.
Leadership & Mentorship: Act as SPOC for ancillary revenue (featured listings, AMCs, etc.) while mentoring team members to drive efficiency and meet business outcomes.
Tech Stack & Tools: SQL, Python (Pandas, NumPy), Excel (VBA, Power Pivots), Power BI (DAX, Data Modeling), Tableau, ETL, Forecasting Models, Statistical Analysis

SQLPythonExcelPower BITableauETL+2

Facts 'n' data

Data Analyst

Dec 2022 – Jun 2025 · 2 yrs 6 mos · Delhi, India · On-site

At Facts ’N’ Data, I worked on end-to-end data analytics, BI solutions, and process optimization to empower decision-making and drive business growth. Using SQL, Python, Excel, Power BI, Tableau, and ETL pipelines, I delivered automation, visualization, and forecasting models that optimized operations and increased revenue.
Data Analytics & Optimization: Analyzed large datasets with SQL, Python, and Excel, uncovering trends that improved business operations and guided strategic decisions.
ETL & Automation: Built ETL workflows and automated pipelines, saving 10+ hours/week and improving data reliability by 25%.
Data Modeling: Designed scalable SQL databases and data models enabling real-time reporting and analytics.
Dashboard Development: Developed Power BI and Tableau dashboards tracking KPIs, accelerating leadership decision-making cycles by 30%.
Automation & Efficiency: Created DAX-driven KPIs and Excel VBA automations, reducing reporting time by 40% and cutting FBA storage fees by 15%.
Performance Engineering: Optimized SQL query performance, ensuring 99% uptime with faster refresh cycles.
Forecasting & Predictive Modeling: Built statistical forecasting models, reducing surplus stock by 20% and improving demand planning.
Profitability & Insights: Conducted SKU performance analysis, boosting ROI by 15%, and automated competitor tracking, increasing profit margins by 12%.
Business Impact: Delivered actionable insights via Power BI/Excel reports and stakeholder presentations, contributing to 134% revenue growth through pricing, inventory, and performance optimization strategies.
Tech Stack & Tools: SQL, Python (Pandas, NumPy, Scikit-learn), Power BI (DAX, Power Query, Data Modeling), Tableau, Excel (VBA, Power Pivots), ETL, Forecasting Models, Statistical Analysis