Manager, Veterinary Analytics and Projects

The Job

You will:

• Analytics Project Management
  • Business Requirement Gathering: Engage with stakeholders to understand and document business needs, objectives, and requirements for the analytics project
  • Ideation and Planning: Develop project ideas and strategies, including defining scope, setting goals, and creating detailed project plans with timelines and resource allocation
  • Implementation: Execute the project plan by developing and deploying analytics models, ensuring data quality, and managing resources effectively
  • Continuously track project progress, provide regular updates and reports to stakeholders
  • Quality Assurance and Risk Management: Implement quality control measures, monitor risks, and manage changes to ensure project deliverables meet standards and objectives
• KPI Dashboards Management And Analytics
  • Assist team manager in preparing materials for strategic discussions and steering committees
  • Prepare reports by running appropriate modelling and provide preliminary explanations of major variances/findings
  • Perform analytical techniques to analyze equine health and performance data; provide initial interpretations/insights to senior managers from analytic models or other reports; Prepare analytical reports for senior managers
  • Support his/her manager to produce standing or ad hoc management reports on business performances based on business and performance data available
  • Make proposals on improvement or addition information of management reports supporting senior managers to manage and track performances, and provide insights accordingly
  • Support cross-functional / cross-departmental projects, mainly on business performance analysis
• Ensure Availability and Quality of Equine Health Data And Develop A Central Data Source
  • Coordinate with Veterinary Teams to understand the as-is status on data availability and quality and liaise with IT for feasibility assessment (e.g. data source / availability / quality / definition)
  • Document data definitions and understand format and steps in recording
  • Collect data from different systems / sources into a single, shareable database for analytics
  • Data cleansing or reformat past data to the agreed definition, and support other departments in collecting data using agreed definition.
  • Manage department data safety, consistency and integrity
• Support Predictive Modelling Projects
  • Support the building of different analytical models using appropriate programme languages/algorithms
  • Understand the model building requirements and obtain data internally and externally at the right data format/definition
  • Support the development of the model programme ensuring logic, completeness, accuracy and verifiable programming details
  • Support delivery teams as they develop, test, and deploy solutions
  • Coordinate and deliver documentation and execute User Acceptance Test (UAT)
• Support Veterinary Departments to achieve KPIs
  • Collaborate with Veterinary Teams to understand drivers of KPIs and operating issues
  • Collect data to produce periodic KPI dashboard for timely tracking, review and implement corrective actions to deliver the required goals
  • Undertake any other duties as assigned by supervisor

About You

You should have: 

• Bachelor’s degree in Data Science, Analytics, Statistics, Computer Science, Bioinformatics, Veterinary Science, Sport Science or related fields.
• 3–5 years of experience in data analytics, preferably in healthcare, veterinary, or sports science domains in terms of monitoring, managing, manipulating and drawing insights from data
• Experience with predictive modelling and statistical analysis.
• Familiarity with IoT data, biometric data, and unstructured data processing using AI tools is an advantage.
• Understanding of the Racing industry is an advantage but not essential.
• Knowledge of data analysis, data visualisation
• Experience with data visualization tools (Power BI, Tableau, or similar).
• Proficiency in SQL and at least one analytic programming language, ideally Python
• Strong understanding of data integration and ETL processes
• Experience in manging and working with multiple types of databases, e.g. relational databases and big data platforms
• Experience in machine learning e.g. regression, clustering, decision trees, anomaly detection is an advantage
• Familiarity with IoT data, biometric data, and unstructured data processing using AI tools is an advantage
• Knowledge of best business practices, benchmarks and metrics to assist in improving the organization’s performance
• Experience with Excel, Word, and PowerPoint
• Excellent communication and presentation skills
• Results-driven and ability to manage multiple projects
• Strong interpersonal and time-management skills
• Fluency in both written and spoken English

Terms of Employment

The level of appointment will be commensurate with qualifications and experience.

How to Apply

Please submit your resume with expected salary by clicking the Apply Now button.

We are an equal opportunity employer. Personal data provided by job applicants will be used strictly in accordance with the Club's notice to employees and prospective employees relating to the Personal Data (Privacy) Ordinance. A copy of which will be provided immediately upon request.