NIHAAL SHAMEEM
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Senior Data Analyst @Hard Rock Digital | Marketing & Product Analytics | SQL • Python • Tableau
United States
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Senior Data AnalystHard Rock DigitalFeb 2026 - Current (9 months)- Senior Analyst | HenkelUM WorldwideJul 2024 - Jun 2025 (1 year)Promoted to Senior Analyst to lead data strategy and provide critical analysis on payment systems to inform executive-level decisions.
Informed executive strategy and budget allocation by analyzing competitive market data across 6 strategic categories using SQL and Excel modeling.
Developed and automated Tableau dashboards to provide real-time KPI monitoring for 15+ cross-functional stakeholders.
Enhanced data reliability across $10M+ in campaign performance reporting by implementing automated validation for over 500K+ monthly transaction records. - Analyst | Energizer HoldingsUM WorldwideJul 2023 - Jul 2024 (1 year 1 month)Served as a key analytical partner to marketing and finance, delivering insights that drove significant growth and efficiency.
Delivered a $3.6M+ revenue impact by integrating new performance KPIs related to payment success, which resulted in an 18% increase in campaign ROI.
Automated a critical ETL pipeline, reducing data processing time from 8 hours to just 30 minutes using Tableau Prep workflows.
Accelerated strategic decision-making by 25% through enhancements to data transformation and quality assurance processes. - Data AnalystWashington Square Capital ManagementMay 2023 - Jul 2023 (3 months)As a Data Analyst Intern, I applied statistical analysis to high-net-worth client portfolios and marketing datasets to identify growth opportunities and optimize client acquisition strategies.
Delivered $2.5M+ in Acquisition Value: Increased the client acquisition success rate by 20% and reduced cost-per-lead by 15% by using Python and SQL to identify high-value prospects from Morningstar financial datasets.
Enhanced Investment Advisory Services: Conducted statistical modeling on asset allocation performance for 500+ high-net-worth client portfolios, enabling data-driven investment recommendations that optimized returns. - WData AnalystWorld Tech Group IncOct 2021 - Nov 2022 (1 year 2 months)My first role as a Data Analyst, where I focused on supply chain and inventory optimization. I used SQL to analyze over 10,000 SKUs to drive profitability and operational efficiency.
Increased Company Profit by $1.8M: Drove an 11% improvement in margins and cut inventory costs by 63% by analyzing SKU performance, directly increasing profit by $1.8M.
Reduced Annual Costs by over $500K: Spearheaded a strategic project that optimized inventory across the company, leading to a reduction in working capital cost by over $500K annually.
Developed Automated Executive Reporting: Created an automated Excel reporting system that provided real-time inventory insights to executives, enhancing supply cha
Education
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- Bachelor of Arts - BA, Applied MathematicsQueens CollegeAug 2017 - Dec 2022 (5 years 5 months)
Projects (professional or personal)
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- NNYC Operational Risk & Trend AnalysisNov 2025 - Current (1 year)Strategic Public Safety Audit (2015-2024) Conducted a full-stack audit of 22,000+ municipal records to optimize budget allocation for city operations.
🛠 Technical Implementation:
• Python (Pandas): Engineered an automated ETL pipeline to sanitize raw logs, handling negative integer outliers and regex cleaning.
• Advanced SQL: Utilized Window Functions (Rolling Averages, Pareto Analysis) to identify a permanent shift in daily risk baselines.
• Geospatial Intelligence: Mapped 54 "High Priority" zones that account for 50% of total risk exposure.
🚀 Outcome: Delivered a strategic recommendation to Executive Stakeholders to increase overtime capacity by 30% and reallocate resources to high-density clusters. - EEnd-To-End SQL Data Warehouse ImplementationAug 2025 - Oct 2025 (3 months)Architected a Medallion Data Warehouse (Bronze/Silver/Gold) using SQL Server to modernize data storage. Designed a Star Schema data model and developed complex Stored Procedures to automate ETL pipelines, ensuring 100% data quality for downstream analytics.