James Littlewood

Professional Profile

Technology-focused data professional with experience in eCommerce product data, practical analytics and technical customer support.

Previous experience as a Technical Data Analyst at Profitero included maintaining structured product information across multiple clients, retailers and markets, applying taxonomies and investigating data-quality issues.

More than seven years at Apple provided extensive experience in technical diagnostics, customer service, operational coordination and temporary team leadership.

Analytical project work includes large-scale PostgreSQL analysis and Tableau dashboards, supported by a methodical approach to problem-solving and clear communication.

Currently developing Python programming, automation and data-analysis skills through practical projects, independent study and regular one-to-one tuition with an experienced software developer.

Core Skills & Technologies

Data Analysis & Reporting: Excel, Google Sheets, SQL, Tableau, Power BI; data cleaning, joins, reconciliation and dashboard reporting.

eCommerce & Product Data: Product validation, categorisation, taxonomy application, structured attributes, quality assurance, exception handling and SLA-driven delivery.

Python & Development: Python, Git/GitHub, VS Code and Shell.

Databases & Technical Environments: PostgreSQL, DBeaver, Docker, Linux/Ubuntu, Windows and macOS.

Analytical Skills: Structured problem-solving, root-cause investigation, trend analysis, requirements gathering and communicating insights.

Professional Experience

Technical Data Analyst | Profitero – Publicis Groupe

August 2025 – September 2026

  • Managed structured eCommerce product data across assigned clients, retailers and markets, supporting business-as-usual activity and new client implementations.

  • Maintained and validated EAN, UPC and RPC identifiers, titles, brands, sub-brands, manufacturers, pack sizes and structured product attributes.

  • Applied client-specific taxonomies and categorisation rules, using systematic quality checks to maintain consistent product records.

  • Investigated missing, incorrect and inconsistent information, resolved discrepancies and escalated ambiguous cases with supporting evidence.

  • Managed assigned work independently against agreed processes and SLAs, using JIRA and internal tools to track progress and communicate blockers, risks and dependencies with internal teams and international colleagues.

Apple | The Oracle, Reading

April 2015 – June 2022

Expert / Technical Expert

  • Delivered technical troubleshooting, diagnostics and repair support across Apple devices, using structured investigation and evidence gathering to identify root causes and determine appropriate resolutions.

  • Explained technical issues, repair options and product functionality clearly, adapting communication to customers with different levels of technical understanding.

  • Managed competing customer needs, appointment schedules and operational priorities while maintaining service standards and completing post-repair checks.

  • Supported and coached colleagues, sharing technical knowledge and practical approaches to troubleshooting and customer service.

Team Lead — Temporary Secondment

October 2021 – April 2022

  • Coordinated day-to-day team activity, balancing customer demand, operational responsibilities and service standards in a busy customer-facing environment.

  • Handled customer escalations, supported colleagues with complex situations and communicated priorities across the team.

  • Monitored performance indicators, customer flow and feedback to inform operational decisions, identify coaching opportunities and support consistent service.

The Curious Academy — Data Analytics Bootcamp

May 2025 – July 2025

  • Analysed approximately 24 million Chicago bike-share records in PostgreSQL to identify usage patterns, seasonal trends and behavioural differences between member types.

  • Analysed approximately 350,000 RG postcode Land Registry records using PostgreSQL to investigate historical house-price trends, with findings presented in Tableau.

  • Built a Tableau dashboard comparing Anaheim Ducks performance with other NHL teams, using data cleaning, joins and trend analysis to present key insights.

Current Technical Development

  • Developing practical Python programming, data analysis and automation through regular one-to-one tuition with an experienced software developer, independent practice and project building.

  • Continuing DataCamp study across Python, SQL, statistics, visualisation, databases and data modelling, with additional learning in machine learning, AI and automation concepts.

  • Maintaining a personal Ubuntu mini-server with PostgreSQL and Docker, using VS Code and remote-development workflows to support hands-on technical practice.

Career Development & Travel

June 2022 – May 2025

Travelled while retraining for data and analytics work through structured study, independent technical learning and project work.

Education & Certifications

BSc (Hons) Audio Engineering and Music Production — 2:1

SAE Institute / Middlesex University

Apple iOS / Mac Certified Technician

The Curious Academy — Data Analysis Certification

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