I build dashboards people
actually trust and use.
I build SQL, GA4 and BI reporting that turns fragmented data into clear, reliable dashboards. My focus is improving accuracy, reducing manual reporting and delivering insights that support better business decisions.
Who I am
I'm Bradlee Nicholls, a UK-based data analyst originally from South Africa, with a background spanning marketing, economics and digital analytics. I hold a BSc in Marketing & Applied Economics and an MBA in Digital Marketing, and I specialise in turning complex customer, marketing, financial and operational data into reporting that people can understand and act on.
I've built and maintained performance dashboards in Looker Studio and Power BI, worked with data across paid media, websites, CRM systems, customer journeys and financial platforms, and written production SQL in Snowflake and BigQuery. My experience also includes GA4 event analysis, Google Tag Manager, customer segmentation, journey mapping, reporting automation, data validation and investigating why figures do not reconcile across different systems.
I focus on analytics that leads to a clear business decision, not reporting for reporting's sake. That means improving tracking and data quality at the source, reducing manual reporting, uncovering what is driving performance and building dashboards that teams trust, understand and continue to use.
Quick facts
- Location: United Kingdom
- Roots: South Africa 🇿🇦
- Education: MBA, Digital Marketing
- Degree: BSc Marketing & Applied Economics
- Certified: Google Analytics 4
- Focus: BI · SQL · Marketing analytics
What I work with
A practical toolkit spanning the full reporting workflow, from raw data and modelling through to the dashboards, analysis and governance that turn it into decisions.
SQL & Data Warehousing
Production-grade queries, CTEs, data modelling and pipelines.
BI & Dashboards
Stakeholder-ready dashboards built for trust, speed and clarity.
Digital, Marketing & Customer Analytics
Campaign performance, attribution, customer journeys and web analytics grounded in raw-event data.
Python & Statistics
Analysis, modelling and segmentation beyond what BI tools can do.
Data Quality & Reporting Ops
Fixing messy data, reconciling mismatched numbers, automating reports.
AI & Workflow Automation
Using AI to accelerate analysis, summarise findings and speed up reporting workflows.
Dashboards
Illustrative rebuilds of dashboard work I've delivered across agency and analytics roles. To keep client work confidential, these are original recreations built from scratch, using fictional sectors and invented data. They show the structure, layout and thinking behind each report rather than any real deliverable.
Owned Social Performance
Monthly owned-social reporting across Instagram, TikTok and Facebook: media views, weighted engagement rate, follower growth and AVE by platform, with top-post analysis and period-on-period trends.
Experiential Campaign Analysis
Post-campaign analysis of an experiential activation: owned social, earned media coverage, UGC amplification and AVE combined into a mixed-method view of brand and engagement impact.
Live Campaign Dashboard
Daily-updating campaign tracker for owned, paid and earned social: views versus targets, engagement rates, sentiment analysis and audience reach, with post-level search and filtering.
Paid Social & Brand Tracking
Paid performance reporting across Meta: spend, reach, CPM and pixel purchases with campaign and ad-level breakdowns, alongside a Brand Building Index tracking visibility, recall, intent and trust over time.
Brand Ecosystem Dashboard
Full-funnel ecosystem view: media cost flowing through impressions, engagement and conversions, with organic-versus-paid overlays across channels and recruitment-campaign tracking.
Brand Vibrancy Platform
Interactive brand-health platform: channel vibrancy across TikTok, Instagram and Facebook, post-level performance and predictions, and a benchmarked Brand Vibrancy Score.
Digital Performance Report
Cross-platform digital report: Google Ads, Meta and LinkedIn performance alongside GA4 web analytics, with user, conversion and booking-event breakdowns.
Where I've worked
Customer journey mapping and GA4 event analysis for account and payment journeys, customer segmentation on product holdings and trading behaviour, and partner attribution tracking, all built on production SQL in Snowflake.
Let's talk data
Whether it's a dashboard that needs building, numbers that don't match, or data that should be driving decisions but isn't. Get in touch.