SENIOR ECONOMIC AND FINANCIAL MODELLING ANALYST

at  SA Government OFFICE FOR EARLY CHILDHOOD DEVELOPMENT

Adelaide SA 5000, South Australia, Australia -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate23 Feb, 2025Not Specified05 Feb, 2025N/APolicy Analysis,Datasets,Government,Microsoft Excel,Data Analysis,Data Analytics,Decision Making,Data Presentation,Economics,Early Childhood Education,Presentations,Graphs,Data Products,Statistics,Maps,Psychology,Finance,R,Interpersonal SkillsNoNo
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Description:

OFFICE FOR EARLY CHILDHOOD DEVELOPMENT

Job reference: 650510
Location: 5000 - ADELAIDE
Job status: Long Term Contract
Eligibility: Open to Everyone

QUALIFICATIONS

A relevant degree in economics, finance, or another quantitative discipline (e.g., mathematics, statistics, psychology) is highly desirable, but not required.
Strong technical expertise in data analysis and financial modelling.
Experience in working with datasets, particularly in government or public policy contexts, is an advantage.

Responsibilities:

ABOUT THE ROLE:

Use your data analysis and modelling skills to drive strategic decision-making in preschool provision, funding, and workforce planning, while making a meaningful impact on early childhood education policy. The Senior Economic and Financial Modelling Analyst will support evidence-based decision-making and problem solving within the Modelling and Funding Policy team, reporting to the Manager of Modelling and Funding Policy.

In this role, you will be responsible for the following:

  • Support the design, operation and review of data assets and models, and undertake data analytics services, to inform strategic decision-making
  • Transform policy and operational requirements into modelling and workflows, including describing the impact of different functions or choices and the risks when utilising them for decision-making.
  • Under direction, update data elements within the statewide preschool provision model and support methodological changes and reporting over time.
  • Promote a culture of continuous learning and improvement and upskilling within the Modelling and Funding Policy team
  • Utilise and interpret outputs from the statewide preschool provision model, including to generate data reports and briefings. This will encompass funding, infrastructure and workforce planning elements.
  • Maintain relevant data sources and models across the work program and ensure data and information are tailored to the intended audience.
  • Establish and manage relationships, partnerships and networks with key internal and external stakeholders, to help to identify needs, refine broad requirements and define the form that effective solutions might take.

To succeed in this role, you will bring the following key skills and experience:

  • Technical expertise: You’ll need a high level of technical expertise in modelling, data analysis, and data visualisation. Demonstrated experience in Microsoft Excel and coding (R strongly preferred) is essential.
  • Policy: Strong track record of contributing to policy analysis and complex advice, which applies data, data analytics, and data presentation to provide recommendations and support decision-making. While experience in early childhood education and care (ECEC) is not mandatory, a strong ability to translate complex data into actionable policy recommendations is key. Previous experience in a related context is highly desirable.
  • Communication and Collaboration: you must bring exceptional communication and interpersonal skills to build collaborative partnerships with key stakeholders, including senior executives, to deliver specialist advice, briefings, evidence-based reports, presentations and data products within a complex work environment. Skill in the visualisation and communication of data to audiences of all levels, including graphs, maps, and conceptual flows.
  • Drive for Continuous Learning: This is a role for someone who is passionate about learning, improving, and driving positive change within a high-impact sector


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Finance

Graduate

Economics, Finance, Mathematics, Statistics

Proficient

1

Adelaide SA 5000, Australia