Data Scientist - Analytics
at Queensland Fire and Emergency Services
Brisbane, Queensland, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 10 Jul, 2024 | Not Specified | 11 Apr, 2024 | N/A | Business Analysis,Data Mining | No | No |
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Description:
About us
As a department our purpose is to help the community to prevent, prepare for, respond to and recover from the impact of fire and emergency events.
Queensland Fire and Emergency Services (QFES) is the primary provider of fire, rescue and emergency management programs and services throughout Queensland. The department encompasses the Fire and Rescue Service, disaster management services, the Rural Fire Service and the State Emergency Service, and also supports other volunteer groups providing emergency response to Queenslanders.
QFES is one department with many services, many capabilities and many partners.
Purpose of the role
Strategic Intelligence and Planning is responsible for the design, development and implementation of best practice approaches, frameworks and guidelines for organisational strategy and ensures compliance with legislative requirements and alignment to government policy. The Analytics team works closely with internal and external stakeholders to support alignment of strategic planning and thinking, leads strategic foresight initiatives, including environment and horizon scanning that supports and informs business intelligence to support and enhance decision making and ensure QFES is able to prepare and respond to changes in the broader disaster and emergency management environment.
Reporting to the Executive Manager, you will be a key member of the Analytics team, contributing to the design and delivery of analytics and business intelligence capabilities to guide evidence-based decision making in line with the strategic direction of the organisation. You will be responsible for providing high-level advice and expertise in coordinating the delivery of data analysis and predictive analytics models to support decision-making processes that meet operational and organisational capability.
Key requirements
Highly desirable requirements
- Previous experience with predictive modelling, business analysis, data mining, data modelling and creating meaningful visualisations.
Your key accountabilities
Your part in the ongoing success of our department, in supporting key frontline services will see you responsible for a variety of work, including, but not limited to:
- Provide high level advice and lead the provision of predictive analytics that support strategic decision making across all hazards for the department.
- Build predictive models and machine learning algorithms to understand future risk profiles across Queensland to better understand demand.
- Work with stakeholders throughout the organisation to identify opportunities for leveraging internal and external data to drive business solutions.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop reports and submissions to articulate findings and trends.
- Coordinate and collaborate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyse model performance and data accuracy.
- Liaise, consult and negotiate effectively with internal and external stakeholders to develop and maintain effective working relationships and ensure services are responsive to current and future needs.
- Contribute to effective, customer focused teamwork by developing an understanding of the roles and duties of team members and across QFES and work collaboratively to achieve quality service and outcomes.
Capabilities
To determine your suitability for the role, you will be assessed on the following Leadership Competencies for Queensland behavioural profiles that link to the “key accountabilities” for this role:
Leadership Competency Stream - Individual Contributor (leading self)
Vision
- Stimulates ideas and innovation
- Makes insightful decisions
Results
- Builds enduring relationships
- Pursues continuous growth
Accountability
- Fosters healthy and inclusive workplaces
- Demonstrates sound governance
Once you join us we will want you to exemplify the QFES shared values:
- Respect
- Integrity
- Courage
- Loyalty
- TrustThis work is licensed under a Creative Commons Attribution 3.0 Australia License.
Responsibilities:
Your part in the ongoing success of our department, in supporting key frontline services will see you responsible for a variety of work, including, but not limited to:
- Provide high level advice and lead the provision of predictive analytics that support strategic decision making across all hazards for the department.
- Build predictive models and machine learning algorithms to understand future risk profiles across Queensland to better understand demand.
- Work with stakeholders throughout the organisation to identify opportunities for leveraging internal and external data to drive business solutions.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop reports and submissions to articulate findings and trends.
- Coordinate and collaborate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyse model performance and data accuracy.
- Liaise, consult and negotiate effectively with internal and external stakeholders to develop and maintain effective working relationships and ensure services are responsive to current and future needs.
- Contribute to effective, customer focused teamwork by developing an understanding of the roles and duties of team members and across QFES and work collaboratively to achieve quality service and outcomes
Accountability
- Fosters healthy and inclusive workplaces
- Demonstrates sound governanc
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Proficient
1
Brisbane QLD, Australia