Hire the Best Web Analysts
in the United Kingdom

• 20 years’ experience in digital analytics in both implementation (requirements gathering, tagging, tech spec docs, testing, data QA) and as an end-user (analysis, insights, reporting, dashboarding) • Highly experienced in usage of tag management tools including Google Tag Manager, Adobe DTM, Abobe Launch, Tealium, BrightTag/Signal • Expertise in major tools including Google Analytics/GA4, Google Data Studio, BigQuery, Adobe Analytics, Webtrends, Comscore, Klaviyo, Monetate, Ampitude • Comprehensive knowledge of Javascript, HTML, CSS, jQuery, SQL • Worked across multiple sectors agency-side & client side (Automotive | Media | Publishing | Fashion | eCommerce | Travel | Retail | Health/Pharma | Telecoms | Utilities | Sport | Events | Financial Services) • Past work includes: Dr Martens, The Jockey Club, Premier Inn, Arena Racing Co, BP, HeyCar, Brewdog, Beano Studios, Lexus, Disney, CNN, Mail Online, Daily Mirror, Equifax, Warner Music, Rolls Royce UK, Post Office, VISA, Ford, Audi, National Express

Web Developer (Php + laravel) - Wordpress (+ Plugin Developer), Woocommerce, Joomla, Drupal, API integration. Php, javascript, html, css, c#, vb, vba Payment gateways. On Page SEO. Wordpress Performance Specialist Javascript, JQuery, Php and C# Developer, Winforms, VBA, CSS 20 years IT experience - desktop/server/mail/os/networking/infrastructure/IAM/App Development/Web Development/Scripting/TSQL/Reporting/IIS/Apache/Linux/Windows SQL Queries

Expert-level Google Tag Manager and GA4 consultant. Over 10 years of experience in Digital Analytics. Strong background in Web Development. @Google Analytics * Google Analytics Certified Professional * Audit * Maintenance and Set Up * Tracking Events, Conversions, eCommerce * Defining Online Business Goals and KPIs * Dashboard Creation * Monthly Reporting * Conversion Rate Optimization * Custom Dimensions and Metrics * Training and Education * BigQuery @Google Tag Manager * Event tracking * Ecommerce tracking * Facebook Pixel Tracking * Cross Domain Tracking * TikTok Pixel Tracking * Bing Ads Tracking * GAds Conversion Tracking * Training and Education @Google Data Studio * Reporting @Other * SQL * Javascript * Python Please get in touch to explore potential collaborations and discuss your digital analytics needs. At the moment, I’m open for remote work and can also provide on-site support to London-based teams.

I build 𝗔𝗜-𝗿𝗲𝗮𝗱𝘆 𝗱𝗮𝘁𝗮 𝗹𝗮𝘆𝗲𝗿𝘀 for DTC brands. Ecom platforms (Shopify, BigCommerce, Magento, Amazon), ad networks, ERPs, subscription tools, and custom data — unified in BigQuery, wired to Claude or ChatGPT via MCP. Plain-English queries on 𝗮𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻, 𝗰𝗼𝗵𝗼𝗿𝘁 𝗟𝗧𝗩, 𝘁𝗿𝘂𝗲 𝗥𝗢𝗔𝗦 — answered from real numbers, not guesses. ⫸ 𝗦𝗢𝗨𝗡𝗗 𝗙𝗔𝗠𝗜𝗟𝗜𝗔𝗥? You're probably here because of one of these: ▪ 𝗠𝘂𝗹𝘁𝗶-𝘀𝘁𝗼𝗿𝗲 𝗗𝗧𝗖 — multi-brand on Shopify Plus, BigCommerce, or mixed stacks; regional storefronts. Finance, ops, and marketing never see the same number. ▪ 𝗖𝘂𝘀𝘁𝗼𝗺 𝗱𝗮𝘁𝗮 𝗻𝗼 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗿 𝗵𝗮𝗻𝗱𝗹𝗲𝘀 — bespoke COGS, supplier lead-times, manual Excel rebuilds every month ▪ 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻, 𝗰𝗼𝗵𝗼𝗿𝘁 𝗟𝗧𝗩, 𝘁𝗿𝘂𝗲 𝗥𝗢𝗔𝗦 — the questions your BI tool can't answer alone. All three trace back to one root cause: data that wasn't modelled to be queried cleanly. Fix that and: ▪ Dashboards finally agree across tools ▪ Complex analysis becomes a 1-query job ▪ Claude / ChatGPT work on real numbers — for both ad-hoc chat questions AND the scheduled reports your team currently rebuilds by hand ⫸ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 ▪ Unify Shopify, your ad platforms, your ERP, Klaviyo, GA4, and your subscription stack into one BigQuery warehouse ▪ Model it so margin, LTV, attribution, and stockout-risk are answerable in plain English ▪ Wire it up as an MCP server so Claude or ChatGPT answer ad-hoc questions AND generate your weekly board-pack / ops summaries from real numbers, not made-up ones ▪ Build dashboards in whichever BI tool your team already uses — Tableau, Looker Studio, Power BI, Metabase — on the same warehouse, same answers ▪ Tool-agnostic by design: the warehouse is the durable asset; BI tools and AI assistants are interchangeable layers on top, swap either later and the data layer doesn't change ⫸ 𝗦𝗧𝗔𝗖𝗞 𝗜 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 𝗠𝗢𝗦𝗧 ▪ Unify your ecom platforms (Shopify, BigCommerce, Magento, Amazon), ad networks, ERP, Klaviyo / GA4, and subscription stack — into one BigQuery warehouse ▪ ERPs: OrderWise, Cin7, NetSuite, Brightpearl, Linnworks, Unleashed ▪ Subscriptions: Recharge, Loop, Skio, CheckoutChamp ▪ Marketing: Klaviyo, Google Ads, Meta Ads, TikTok Ads, Pinterest, Mailchimp, Braze ▪ Warehouses: BigQuery (default), Snowflake, Redshift, Postgres ▪ BI: Tableau, Looker Studio, Power BI, Metabase — your call, all on the same warehouse ▪ AI: Claude (Anthropic), ChatGPT/OpenAI — wired via MCP servers ⫸ 𝗪𝗛𝗬 𝗠𝗘 ▪ 12 years building data systems for ecom and enterprise ▪ Past enterprise data work at Just Eat Takeaway and Condé Nast ▪ 30+ Upwork projects, all 5-star ▪ Top Rated Plus, fully vetted ⫸ 𝗟𝗘𝗧'𝗦 𝗧𝗔𝗟𝗞 If any of those sound familiar — message me. Happy to look at your current setup and tell you whether it's a 2-week tidy or a 6-week rebuild. Either way, you'll know after a 20-min call.

I have over a decade's experience optimising and analysing digital marketing data, most recently as a Digital Web Analyst in financial services (last 4 years), focusing on data collection (GA4 & Matomo management & training), measurement & automation of reporting, research, opportunity discovery and schema building. I'm fluent in end-to-end analytics; from setting up data layers, to building tags in GTM controlled by cookie consent opt-in, through to building dashboards, and interrogating data to find anomalies, opportunities and actionable insights. I can build client-ready reports in GA4 / Matomo / Looker / Power BI / Tableau tailored to varying levels; scorecard level dashboards for senior leaders, to technical action oriented reports for development teams. More recently I've been exploring the application of data science into SEO. By leveraging AI models, I can build entity/intent groupings from 100k+ keyword set to create instant insights and opportunities. These can be sized and prioritised to drive an SEO action plan. The same model can then be applied to content to identify content gaps compared to inbound demand. Then apply the models to your competitors and you can identify content gaps you hadn't even considered. This automates and streamlines entire SEO planning & strategy swim lanes. Have also established how to use data science to remove the noise from SEO activity, making SEO measurable and removing much of the ambiguity. This can be used to validate work done, or identify SEO actions that may have had a negative impact on performance. I'm comfortable using python scripts to access APIs to import custom data sets, and model data performance (intent classification & trend prediction to detect anomalies).

As an experienced Business Analyst, I have over 5 years helping fintech, healthcare, and tech-driven companies unlock insights, optimize processes, and deliver smarter strategies. I bridge the gap between business goals and data—turning complexity into clarity. Specialties Fintech: Customer journey mapping, regulatory compliance (KYC/AML), digital payments Healthcare: EHR systems, claims analysis, HIPAA-compliant reporting Agile environments: Requirements elicitation, user stories, backlog grooming Data analytics: Excel, SQL, Tableau, Power BI Tools: JIRA, Confluence, Trello, Asana, Google Workspace My Core Competencies: - Technical Reports - Technical Documents - Technical Analysis - Technical Estimations - Technical Documentation - Technical Optimization - Technical Requirements - Technical Design Keywords:- Microsoft Power BI, Dashboard, Report, Business Intelligence, ETL, ETL pipeline, Data Visualization, Data Analytics, Power BI Reporting, Power BI dashboards, Microsoft PowerApps, Microsoft Power Automate, Data Warehouse, Report Design and Visualization, Dashboard development, Data Scientist, Sales, Finance, Marketing, Executive, HR, Azure, NetSuite, AWS, Salesforce, QuickBooks, Xero, Zendesk, Spiro, Tableau, BI Developer, Excel, SQL, Google Analytics, Google Ads, Pardot, Facebook, Instagram