Rahul

• Delivered pan-European wage benchmarking and industry analytics frameworks for a leading logistics client, standardising cross-country labour datasets, validating source definitions and source integrity, and aligning regional compensation tiers for consistent reporting. • Built scalable market sizing and performance models across 100+ categories in 16 European markets, integrating multi-source commercial and external datasets to enable repeatable annual refreshes and cross-regional comparability. • Developed BI-enabled tracking tools and structured data outputs adopted across global teams to support sales trend monitoring, performance reporting, and forecasting workflows. • Conducted multi-country opportunity assessments across apparel, footwear, and home furnishing sectors, analysing demand indicators, competitive dynamics, & category-level performance metrics.

• Led end-to-end multi-country consulting projects across EU, managing data collection, validation, & quality checks while ensuring methodological consistency across analyst teams & markets. • Built data-driven market prioritisation and entry frameworks for global foodservice and consumer brands, integrating sales performance indicators, customer dynamics, and competitive benchmarks. • Designed mixed-method research approaches combining primary interviews, proprietary databases, and structured data extraction, supporting robust and auditable analytical outputs. • Delivered global market sizing, revenue trend analysis, and growth prioritisation across EU and APAC regions using standardised analytical frameworks. • Conducted commercial deep-dives incorporating financial performance metrics, pricing structures, and value proposition analysis to support commercial planning discussions. • Acted as primary client contact, translating business and stakeholder requirements into analytical workstreams and presenting data-driven insights to senior commercial and strategy leadership.

• Analysed large transactional and payment datasets to benchmark private-label credit card performance against competing payment methods. • Defined & operationalised KPIs tracking adoption, share of wallet, spend categories, retention, and promotional effectiveness. • Identified behavioural shifts & engagement trends, supporting targeted campaign design & retention strategies. Built customer-level reward usage & churn models to evaluate disengagement levers. • Migrated reporting ecosystem from Excel & Tableau to Power BI, ensuring continuity and scalability. Automated workflows using VBA & Power Automate, improving turnaround time & reliability.

• Analysed large healthcare claims and prescription datasets to assess treatment performance, adherence, and persistence. Built comparative analysis and survival models (Kaplan–Meier, Cox regression) to evaluate real-world clinical outcomes. • Developed healthcare cost & resource utilisation models to estimate cost of care across treatments. • Translated analytical findings into clear business insights for sales pitch & market positioning.