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Data Analytics Lead
UK Anti-Doping
UK Anti-Doping protects the right to right to enjoy doping-free sport UKAD is the national organisation dedicated to protecting a culture of clean sport. Every day, we are raising awareness of the issues through our extensive education and testing programme.
Job Posted- 18 Apr 2025
Status- Full Time
Location- England
Closing date- 26 May 2025
Job purpose
You will ensure the integration of new data visualisations, advanced analytical methods, and AI to enhance operational effectiveness and efficiency. You will also contribute to internal and external initiatives that drive data excellence, foster a data-driven culture, and stimulate global collaboration in anti-doping analytics.
Key result areas include
- Lead on the development of insights, data visualisations and evidence-based reports with teams across UKAD
- Apply data science methods, such as statistical analysis and machine learning to identify new insights, trends, and optimise decision-making processes
- Explore and evaluate potential applications of generative AI within anti-doping, ensuring that any implementation adheres to stringent data governance and ethical standards
- Facilitate internal workshops that identify hypotheses that can be explored through analytics
- Support data analytics initiatives in wider teams through providing feedback, troubleshooting and mentorship
- Serve as UKAD’s technical representative within the international anti-doping data analytics working group, contributing to collaborative initiatives with other members.
- Create opportunities for the development of leadership and technical skills across UKAD that drive advocacy and capability towards being analytically driven and evidence based
- Develop and maintain effective partnerships with UK and international academic institutions, fellow National Anti-Doping Organisations, and other identified strategic partners that will enable UKAD to pursue its data analytics ambitions
- Increase UKAD’s engagement with other sectors to identify transferrable approaches towards embracing analytics
Person specification
Qualifications/experience/knowledge
- Experience in collecting, cleaning, and analysing large datasets from diverse sources to extract actionable insights using data visualisation tools
- Proficiency in using advanced Excel functions and other data manipulation tools (e.g., SQL and Python) for data cleaning, visualisations, and automation of data processes
- Extensive experience in creating interactive reports and dashboards using Power BI or similar tools, with expertise in connecting and integrating data sets for accurate and comprehensive analysis
- Proficiency in using common data science Python packages (e.g. Pandas, NumPy, Scikit-learn and Matplotlib) for data manipulation, analysis, and visualisation
- Familiarity with advanced data science techniques, including machine learning (e.g., K-means), natural language processing (e.g., NLTK or spaCy), and data acquisition techniques (e.g., Selenium) is advantageous.
- Proficiency in producing detailed project documentation, including specifications, test plans, data quality checks, and validation procedures
- Experience of managing projects that involve both internal and external stakeholders
- Demonstrated ability to independently establish and maintain successful partnerships with external stakeholders, including academic institutions and industry partners.
- An understanding of data protection, confidentiality, and experience of managing information with discretion
Skills
- Demonstrable analytical eye for detail
- Excellent communicator who can build, manage, and sustain relationships with key stakeholders
- Ability to translate complex data into clear insights and recommendations.
- Creative approach to work, with the ability to develop innovative solutions and use initiative in problem solving
- Highly curious with a passion for understanding the ‘why’ behind trends and the confidence to question the status quo
- Strong administration and record keeping skills
- Strong planning, time management and organisational skills
- Able to work effectively as a team member or on own when required
- Able to work in a highly process driven administrative environment
How to Apply
Please click “Apply Now” to begin your application.
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