About Me
I am an accomplished Data Analyst with a proven track record in delivering actionable insights through Python, Power BI, Tableau, SQL, and predictive modelling. My work has included building automated data pipelines, developing interactive dashboards, and applying advanced analytics to solve business problems.
I recently achieved a Level 4 Data Analyst Apprenticeship with Distinction, and my excellent results were further recognised with a Certificate of Higher Apprenticeship — reflecting my commitment to continuous learning and professional excellence.
I bring not only technical expertise but also a deep passion for data and a strong belief in its power to drive intelligent decisions. Over the years, I have consistently received excellent feedback in interviews for my skills, communication, and problem-solving abilities, and I am ready to bring these strengths to an inclusive, forward-thinking organisation.
I thrive in environments where curiosity and rigour are valued, and I am currently expanding my skills in machine learning and advanced analytics to bridge into data science.
Education
Open University 2009
Certificate in Mathematics
Work & Experience
Linklaters LLP 05/02/2022 - 08/09/2025
Data Analyst
Designing, building, maintaining, amending, and troubleshooting complex data pipelines using SQL, R, Python, Tableau Prep, and Data360 Analyze to provide essential data for decision-making and performance evaluation across the firm. Developing interactive dashboards using Tableau and Power BI to deliver actionable insights and enhance data accessibility for marketing, legal, and business teams. Creating and automating reports for marketing and fee earners using SQL, RStudio, Neo4J, and ETL tools (Tableau Prep, Data360 Analyze). Implementing MS Power Automate flows to schedule and automate tasks, including data extraction from SharePoint lists, ensuring efficient and reliable data retrieval. Utilizing Azure DevOps graphical reporting to analyze the volume and variety of work, enhancing workflow transparency and optimization. Utilization Forecasting Project (Level 4 Data Analyst Apprenticeship, 2025): Developed a comprehensive forecasting model to predict Managing Associates’ utilization from 2018 to 2024. Leveraged Python (Prophet, StatsModels), Tableau, and Power BI to build advanced predictive models and deliver insights for strategic planning. Successfully presented findings for the End-Point Assessment (EPA). Continuously enhancing technical skills through certifications in data analysis, web technologies, and automation tools. Redeveloped a critical multi-department absence dashboard by reverse engineering an outdated solution and implementing a robust, automated process in Power Automate and Power BI. Received strong senior management praise for dedication, thoroughness, and innovative problem-solving, with particular recognition for effective collaboration and clear communication with cross-functional stakeholders.
Linklaters LLP 06/04/2014 - 04/29/2022
Data Governance Specialist
Database Indexing: Ensured global consistency and accuracy across various databases. Data Maintenance: Regularly reviewed and maintained data within knowledge systems to meet agreed standards. Technical Support: Assisted fee earners in resolving technical and formatting issues during Deal Announcements. Collaboration: Worked with Professional Support Lawyers, Information and Marketing Advisors, and other Content Owners to maintain high-quality records. Quality Assurance: Implemented quality assurance processes to uphold data integrity. Marketing Support: Assisted in the League Table Submission process alongside Marketing and Information Advisors. SQL Reporting: Generated detailed reports upon request from marketing and fee earners using SQL. Achievements: Successfully maintained and reviewed data to high standards, ensuring accuracy and consistency across global databases. Provided critical support in technical and formatting issue resolution, contributing to seamless Deal Announcements. Played a key role in quality assurance processes, maintaining the integrity and reliability of data records. Supported marketing efforts through precise League Table submissions and tailored SQL reports.