NIXONY SHAUN MICHAEL
Starbucks
Jersey City,NJ
6
years of professional experience
Analytical supply chain and retail professional with 4+ years of experience across sales analytics, inventory management, demand planning, and retail operations. Holds an M.Sc. in Data Science and Data Analytics and a Bachelor’s in Electrical and Electronics Engineering, combining strong technical foundations with hands-on business experience. Proven ability to forecast demand and plan inventory by analyzing sales velocity, reorder frequency, and inventory turnover to reduce stock-outs, overstock, and waste. Builds Excel and Power BI dashboards to track supply chain and retail KPIs — sales, margins, inventory levels, waste, and labor costs — giving managers clear, real-time visibility. Advanced SQL and Excel user experienced in extracting, cleaning, validating, and reconciling data from multiple sources to ensure reporting accuracy. Strong retail and sales background with a front-line understanding of store operations, product movement, customer demand, and point-of-sale (POS) systems. Supports operations management by translating data into practical recommendations for ordering, staffing, budgeting, and process improvement. Trusted cross-functional partner to store leadership, operations teams, and stakeholders; communicates insights clearly to both technical and non-technical audiences. Detail-oriented, fast learner who stays composed and productive in high-volume, fast-paced environments.
Work History
Sales Associate
1 Year- Supported daily retail store operations in a high-volume environment, maintaining service speed, product availability, and brand standards.
- Tracked and analyzed daily sales data and built simple dashboards to monitor performance trends, supporting store-level decision-making.
- Monitored product movement and stock levels during shifts, flagging low-stock items to support timely restocking and reduce lost sales.
- Handled cash and register operations — opening/closing counts, payment processing, and drawer reconciliation — accurately and in line with compliance procedures.
- Drove sales by promoting products, the rewards program, and mobile ordering, encouraging adoption of digital and self-service tools.
- Resolved customer and operational issues quickly with attention to detail, escalating when needed to maintain a consistent experience.
- Collaborated with team members to manage peak periods, balance multiple priorities, and keep store operations running smoothly.
- Quickly learned new POS systems, mobile ordering platforms, and store procedures, applying them confidently in day-to-day operations.
Sales Analyst
3 Years- Performed sales forecasting and demand planning to guide inventory ordering, staffing levels, and budget planning across store operations.
- Analyzed daily, weekly, and monthly sales data to identify best-selling and underperforming products across categories.
- Conducted product and sales trend analysis using historical and real-time data to support revenue growth and performance improvement.
- Monitored inventory movement and stock levels to identify stock-out risks, slow-moving items, and excess inventory, reducing waste and improving availability.
- Supported replenishment planning by recommending order quantities and timing based on sales velocity and demand patterns.
- Built and maintained Excel and Power BI dashboards tracking KPIs including sales, margins, inventory levels, waste, and labor costs.
- Analyzed labor costs against sales volume to support staffing decisions and improve operational efficiency.
- Supported financial analysis and budgeting by tracking revenue trends, operating costs, and profitability metrics.
- Prepared regular performance reports and presented insights to store leadership to support management decisions.
- Partnered with store managers and frontline teams to turn data-driven insights into improvements in efficiency, customer experience, and sales.
- Ensured data accuracy through validation and reconciliation using Excel and SQL, building trust in reporting across teams.
- Identified process gaps in ordering and stock handling and recommended practical fixes to improve consistency across shifts.
- Conducted product-level sales and inventory analysis to identify frequently stocked-out and overstocked items.
- Analyzed sales velocity, reorder frequency, and inventory turnover to improve stock availability and reduce lost sales.
- Delivered data-driven replenishment and inventory planning recommendations that reduced stock-outs and excess inventory.
- Key Project – Sales & Inventory Optimization
Data Analyst
1 Year- Analyzed sales and marketing data to support business performance tracking and decision-making.
- Used SQL to extract, clean, and prepare data from multiple sources for analysis and reporting.
- Built Excel and Power BI dashboards to track sales performance, revenue trends, and marketing KPIs.
- Automated recurring sales and performance reports, improving reporting efficiency and consistency.
- Supported forecasting, budgeting, and performance reviews through historical trend and seasonality analysis.
- Collaborated with stakeholders to gather requirements and translate data insights into actionable business recommendations.
- Analyzed customer purchase data to identify buying patterns, repeat purchases, and seasonal demand trends.
- Evaluated product and category performance to understand customer preferences and key revenue drivers.
- Developed Excel and Power BI reports visualizing customer trends, sales performance, and campaign results to support sales planning.
- Key Project – Customer & Sales Trend Analysis
Education
M.Sc. - Data Science and Data Analytics
B.E. - Electrical and Electronics Engineering
Skills
Supply Chain & Inventory: Inventory Management & Optimization
Demand Forecasting & Planning
Replenishment Planning
Stock-out & Overstock Reduction
Inventory Turnover Analysis
Waste Reduction
Stock Level Monitoring
Analytics & Reporting: Sales & Trend Analysis
KPI Dashboards
Forecasting
Data Cleaning
Validation & Reconciliation
Report Automation
Root-Cause Analysis
Data Visualization
Sales & Retail: Sales Performance Tracking
Product & Category Analysis
Retail Store Operations
POS Systems
Cash Handling & Reconciliation
Customer Demand Insights
Business & Management: Operations Support
Budgeting & Cost Analysis
Margin & Profitability Analysis
Labor Cost & Staffing Planning
Process Improvement
Compliance
Tools & Technology: Microsoft Excel (Pivot Tables
Lookups
Charts)
SQL
Power BI
Microsoft Office
POS & Mobile Ordering Platforms
Professional: Cross-Functional Collaboration
Stakeholder Communication
Problem Solving
Attention to Detail
Time Management
Adaptability
Section name
Authorized to work in the U.S. — no sponsorship required
Personal Information
- Title: Supply Chain & Inventory Analyst | Demand Planning | Data Analytics
- Work Permit: Authorized to work in the U.S. — no sponsorship required
Timeline
Sales Associate
Starbucks
01.2025 - 01.2026Read More
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B.E. from Electrical and Electronics Engineering
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Brunel University
M.Sc. from Data Science and Data Analytics
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