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A07 Principal Data Analyst

4 weeks ago

Brisbane, Australia Hudson Australia Full time

Hudson is seeking a skilled Principal Data Analyst to join a large organisation. This role is critical in establishing a robust intelligence capability for biosecurity activities, with a focus on identifying opportunities to enhance compliance with relevant legislation.

As the Principal Data Analyst, you will:

- **Data Management**: Lead the collection and consolidation of data from various sources, ensuring its quality, integrity, and usability.
- **Process Optimization**: Design and implement efficient processes to ensure timely availability of relevant data assets.
- **Exploratory Analysis**: Conduct exploratory data analysis to uncover actionable insights and develop metrics required by the business.
- **Visualization and Reporting**: Create and maintain visualizations to support strategic initiatives, ensuring accuracy and completeness through validation and quality checks.
- **Data Governance**: Ensure compliance with data governance policies and procedures, identifying and resolving anomalies and errors.
- **Strategic Guidance**: Work with the leadership team to provide data-driven insights that support decision-making and long-term planning.
- **AI and ML Integration**: Enhance analytics capabilities and processes, incorporating Artificial Intelligence (AI) and Machine Learning (ML) to support an insights-driven culture.
- **Project Development**: Collaborate on data and intelligence projects from ideation to design, including preparation of project documentation, plans, requirements, and testing.
- **Training and Mentoring**: Train, coach, and mentor team members in the use of data and analytics, contributing to a culture of continuous improvement.

**Technical Skills**:

- Proficiency in SQL for data querying and manipulation.
- Expertise in Power BI for data visualization and reporting.
- Experience with R or Python (or other statistical software) for statistical analysis and modeling.

**Qualifications and Experience**:

- Proven experience in data analysis, statistical modelling, and machine learning.
- Strong proficiency in SQL, Power BI, and R or Python (or other statistical software).
- Experience in developing and implementing data processes and business intelligence solutions.
- Excellent problem-solving skills and attention to detail.
- Strong project management skills, including documentation and planning.
- Ability to train and mentor team members effectively.