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A07 Principal Data Analyst
3 months ago
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.
- Advanced Analytics: Develop and apply advanced statistical models, machine learning algorithms, and data modeling techniques to address business challenges.
- Process Optimization: Design and implement efficient processes to ensure timely availability of relevant data assets.
- Business Intelligence: Capture and define business requirements for intelligence products, applying statistical techniques and data mining methods to identify trends and patterns.
- 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.
- Familiarity with AI and ML technologies and their application in data analytics.
- Strong project management skills, including documentation and planning.
- Ability to train and mentor team members effectively.
Reference number: BBBH240164
Profession:IT, Technology & DigitalData Analysts
Company: Hudson Australia
Date posted: 26th Aug, 2024