Location:
Rossendale, UK
Professional summary
With over 20 years' experience spanning multiple industries, Paul has built a strong foundation in business strategy, transformation leadership, project delivery, and data-driven decision making.
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A passion for analytics, developed through senior operational leadership roles in retail and service organisations, has evolved into a structured expertise in Python, Power BI, SQL, Excel, and Tableau. He specialises in identifying business performance trends, optimising operational processes, and enabling smarter, data-backed decisions that drive profitability, efficiency, and sustainable growth.
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Highly experienced in communication, mentoring, and stakeholder engagement, Paul has led regional transformation programmes, chaired divisional conferences, and facilitated cross-functional strategy workshops — consistently aligning business objectives with actionable insights and measurable outcomes.
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 Transformation & Data-Driven Change Leader?
Paul's journey into data-powered transformation is rooted in his leadership experience managing complex, multi-regional retail and service operations. Working across high-volume environments, he consistently leveraged data to inform strategy, optimise performance, and deliver sustainable business improvements.
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Leading large teams, forecasting demand, managing multimillion-pound portfolios, and driving cross-functional delivery required both strong operational expertise and an analytical mindset. Recognising the power of data to guide decision-making, Paul developed advanced skills in predictive modelling, performance analysis, and data visualisation — combining these with structured delivery frameworks to lead enterprise change programmes that achieve real-world results.
Past Careers
Paul’s career in transformation leadership, retail management, and business strategy has consistently focused on delivering performance improvement, service optimisation, and sustainable business change. Whether managing multi-site operations, leading £20M+ portfolios, or driving cross-functional programmes, he has used data-driven insight to inform strategy, improve efficiency, and enable growth.
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Over time, Paul recognised that the power of data extended far beyond operational decisions — it became a catalyst for enabling enterprise-wide transformation. This realisation led him to formally strengthen his technical capabilities in analytics (Python, Power BI, SQL, Excel, Tableau), combining them with structured delivery methodologies (Scrum, ITIL 4, PRINCE2) to deliver change programmes that blend strategic leadership with actionable insight.
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His journey reflects a unique blend of frontline leadership, business acumen, and technical expertise — enabling him to successfully guide organisations through complex change while embedding long-term capability.
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
An independently developed project exploring customer behavior in the e-commerce space — built to address how modern businesses are prioritizing churn reduction. Includes analysis of purchasing patterns, delivery performance, and segment trends using SQL-driven insights.
SQL
This is a case study, analysing European weather trends using supervised machine learning to predict environmental outcomes, compare algorithm performance, and recommend the most effective model for climate. The goal was to identify the most effective algorithms for forecasting climate-related conditions.
Python
A data-driven project analyzing U.S. influenza trends using CDC data, statistics, and Tableau visuals. The project aims to inform strategic healthcare staffing decisions during the influenza season across the United States. The analysis identifies high-risk areas and recommends timely deployment of medical personnel.
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
Explore full code & notebooks on my GitHub →
← Watch my data storytelling in action
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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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