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PERSOL is seeking a strategic and hands-on analytics leader to drive end-to-end delivery of data insights informing business decisions and organisational strategy. You will lead a high-performing team to transform complex data into clear, actionable outcomes, partnering with internal and external stakeholders to strengthen data-driven decision-making.
With 8+ years in data analytics and a proven leadership track record, you will oversee KPI delivery, statistical modelling, forecasting and
We are seeking a strategic and hands-on analytics leader to drive the end-to-end delivery of data insights that inform business decisions and organisational strategy. This role combines leadership, advanced analytics, and stakeholder engagement to unlock the value of data and translate it into meaningful outcomes. You will lead a high-performing team to turn complex data into clear, actionable insights, while partnering with internal and external stakeholders to strengthen data-driven decision-making.
Lead the compilation, analysis and reporting of key performance indicators, ensuring timely and accurate insights delivery
Translate complex datasets into actionable recommendations for business and industry stakeholders
Oversee data cleaning, ingestion, transformation and analysis across multiple data sources
Design and drive analytics strategies using both quantitative and qualitative methodologies
Apply statistical techniques, forecasting models and data visualisation tools to generate insights
Identify trends and emerging issues to guide strategic decision-making
Partner with cross-functional teams, including product, engineering and business stakeholders
Coordinate with Whole-of-Government (WOG) agencies and external partners on data initiatives
Provide advisory on data, analytics and economic impact assessments
Oversee reporting cycles, publications and stakeholder data requests
Minimum 8 years' experience in data analytics, including at least 3 years in a leadership role
Strong foundation in analytics, statistics, economics, applied mathematics or related disciplines
Proven experience in data wrangling, modelling, visualisation and insight generation
Familiarity with statistical modelling, forecasting and market research methodologies
Proficiency in analytics tools such as Python, R and SQL
Experience working with large, complex datasets and multiple data sources
Ability to integrate analytics outputs into dashboards or platforms
Strong ability to translate data into business value and strategic recommendations
Confident communicator with experience engaging senior stakeholders
Proven ability to influence and collaborate across diverse teams