Location:
Rossendale, UK
Professional summary
With experience across multiple industries, he has built a strong foundation in business strategy, project management, and analytical thinking
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A passion for data-driven insights within senior retail roles has organically evolved into a structured approach to analytics, fostering expertise in Python, Power BI, SQL, Excel and Tableau. Skilled in uncovering business performance patterns, optimising processes & enabling smarter, data-backed decisions that improve profitability and efficiency.
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Experienced in communication, mentoring, and stakeholder collaboration, with a proven track record of leading regional meetings, divisional conference calls, and cross-functional strategy workshops to align business objectives with data-driven insights.
Key Skills & Leadership Impact
Connecting Business Strategy with Data-Driven Insights
Data-Driven Decision Making & Strategy
Process Improvement & Operational Efficiency
Business Intelligence & Visual Storytelling
Leadership & Cross-Functional Collaboration
Technical Expertise:
Attention to Detail & Accuracy
Toolbelt
Data Preparation & Management
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ETL (Extract, Transform, Load)
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Data Merging
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Schema Design
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Data Normalization
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SQL Optimization
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API Data Extraction
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Pivoting & Unpivoting Data
Exploratory & Statistical Analysis
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Variance & Standard Deviation
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Outlier Detection
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Data Distributions
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Sampling Techniques
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Bayesian Analysis
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Business Trend
Analysis
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Cohort Analysis
Data Visualization & Reporting
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Dashboard Automation
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Storyboarding Data Insights
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Infographics & Charts
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Dynamic Filtering
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Multi-Dimensional Analysis
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Visual Analytics Optimization
Advanced Analytics & Forecasting
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ARIMA Modelling
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Monte Carlo Simulation
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Optimization Algorithms
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Decision Trees
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Risk Analysis
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Recommendation Systems
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Statistical Inference
Why am I a Business & Data Analyst?
His journey into business and data analytics is rooted in his experience as a retail leader, where he consistently leveraged data to refine business strategies and drive performance improvements.
Managing multi-regional operations, forecasting demand, and aligning sales and marketing strategies required a strong analytical mindset. Recognising the power of data in making impactful business decisions, Paul has expanded his technical expertise in predictive modelling, data visualisation, and machine learning to drive even greater value in the evolving landscape of data-driven retail solutions.
Past Careers
Paul’s career in retail management and business strategy has consistently focused on performance optimization and data-driven decision-making. Whether forecasting demand, managing inventory levels, or implementing pricing strategies, he has relied on data to drive efficiency and profitability.
Over time, he realised that the power of data extended far beyond operational decision-making—it had the potential to transform entire businesses. This realisation inspired him to formally develop my analytical skills and transition into data analytics, where he continue to merge my business acumen with technical expertise to deliver impactful insights.
Case Studies
This study analyses geographic distribution to uncover key factors affecting profit margins across different locations. Using exploratory data analysis, regression modelling, and geospatial insights, it uncovers patterns in store performance and regional profitability.
Python
This repository contains an in-depth analysis of Instacart's grocery basket data to uncover sales patterns and customer behaviors. The project includes data cleaning, segmentation, and visualization to provide actionable insights for targeted marketing strategies and improved sales performance.
Python
Reel Insights is a SQL-based analytical case study for Rockbuster Stealth LLC, a movie rental company looking to transition into the online streaming industry. As part of CareerFoundry’s analytics program this explores key questions, such as revenue contributions, customer behaviour, and regional performance
SQL
About Me.
Growing up in Rossendale, UK, Paul developed an innate curiosity for patterns, structure, and problem-solving—qualities that have defined his journey from studying biomechanics to leading large-scale retail operations. Whether managing a 120+ team at B&Q or uncovering data-driven insights, he thrives in environments where analytical thinking meets practical execution.
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Over the years, his focus has evolved from retail leadership to advanced analytics, ensuring businesses make smarter, data-backed decisions. Paul specialises in simplifying complexity, transforming raw data into actionable strategies, and optimising operations for efficiency and growth.
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While he works effectively independently, Paul firmly believes that collaboration fuels the best results. From playing music to improving a company’s financial performance, he approaches every challenge with open, sincere communication, and a commitment to delivering real impact.
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