Senior Data Analyst at GAMBLEAWARE (2025-07 – 2026-07)
Led the development and governance of organisation-wide Power BI reporting covering treatment services, helpline activity, digital engagement and corporate performance.
- Established a governed Power BI service covering licences, workspaces, access, publishing, RLS and reporting standards, giving the organisation controlled access to trusted reports rather than disconnected local outputs.
- Created a central Data and Insight Portal in SharePoint, providing employees with one place to find Power BI reports and other analytical resources.
- Designed and maintained semantic models, reusable DAX measures and KPI logic used by Finance, Evidence and Insight, Commissioning, Marketing, Governance and People teams.
- Used Azure SQL Elastic Query, external tables and a surrogate-key strategy to combine provider data without unnecessary duplication or key collisions, reducing the risk of inconsistent figures and conflicting versions.
- Integrated and analysed data from Theseus, a treatment-service case-management system recording referrals, appointments, assessments, interventions and outcomes. Applied anonymisation, RLS and access controls to enable governed analysis of sensitive service-user data.
- Led analytics for the organisation's website, mobile app and interactive digital tools. Retained internal ownership of analytical requirements and reporting architecture while working with external engineers on GA4, BigQuery and Azure SQL.
- Independently developed Microsoft Fabric pipelines, transformations and reports, increasing internal capability and reducing reliance on suppliers for digital analytics.
- Built validation and reconciliation checks and worked with internal teams and service providers to investigate discrepancies and resolve data-quality problems at source.
- Trained 20 employees to navigate and interpret Power BI reports; five progressed to advanced report-development training and one subsequently published a production dashboard.
- Led the controlled inventory and decommissioning of Power BI, Fabric and Azure assets during the organisation's closure, ensuring active reporting resources and access arrangements were identified before shutdown.
Data Analyst at GAMBLEAWARE (2024-09 – 2025-07)
Systems & Data Analyst at CRESSET BIOMOLECULAR DISCOVERY LTD (2022-04 – 2023-11)
Scientific software company providing computational chemistry solutions to pharmaceutical, biotechnology and research organisations.
- Built a lean data and Power BI function from the ground up, replacing recurring CRM-to-Excel reporting with a shared and regularly refreshed analytics environment.
- Created a central Azure-hosted PostgreSQL data warehouse and integrated HubSpot, Zoho CRM and internal licence-management data.
- Established automated daily ingestion, transformation, logging and monitoring using cost-effective CRM connectors, APIs and Python, making analysis-ready data available with minimal manual effort.
- Designed star-schema models and reusable reporting datasets, improving the consistency and availability of commercial, customer and licence information across the business.
- Established Power BI as an organisational reporting service rather than an isolated desktop tool, managing workspaces, licences, access, publishing and scheduled refreshes.
- Built a sales-pipeline waterfall and revenue forecast for the CFO and board, combining deal value, stage probability and expected close dates. This gave management forward-looking revenue visibility, supported financial planning and enabled early warnings when the outlook changed.
- Developed customer and buyer-persona analysis using RFM methods, organisation domains and commercial behaviour to provide a clearer view of customer segments.
- Worked directly with Finance, Sales, Marketing and senior management to translate business questions into practical data products and decision-support reporting.
- Trained colleagues and mentored the CRM Manager, helping retain reporting knowledge and self-service capability within the company.
Quality & Process Engineer / MES Developer at CAMBRIDGE NANOTHERM LTD (2013-07 – 2019-08)
Technology manufacturer producing advanced thermal-management materials for the electronics industry.
- Identified the need for a Manufacturing Execution System, presented the concept to management and delivered the system internally despite limited budget and development resources.
- Replaced fragmented paper and spreadsheet records with a central operational system covering production batches, raw-material batches, manufacturing procedures, assigned labour and process data.
- Automated much of the manufacturing documentation process and created a consistent source of shop-floor data that could feed higher-level SAP reporting.
- Developed real-time manufacturing and quality dashboards showing production status, process parameters and control limits, reducing detection of deviations and potential defects to approximately one minute.
- Introduced statistical process control and Six Sigma monitoring into the manufacturing workflow, enabling production staff and management to identify abnormal conditions as they occurred.
- Used Python and scikit-learn for process and defect analysis, alongside PHP and JavaScript for operational applications and live displays.
- Worked with production, engineering, quality and management teams to map processes, investigate defects and strengthen manufacturing controls.
Data Scientist / Full-Stack Developer at WWIIS (2020-01 – 2021-12)
Machine Learning Engineer, volunteer project at Omdena (2019-01 – 2020-12)
Consultant, Analyst and Project Manager at Asteros Consulting (2005-01 – 2013-12)
