Senior Data Analyst

3 weeks ago


Saint Lucia, Queensland, Australia The University of Queensland Full time
About the Role

We are seeking a highly skilled Data Scientist to join our Innovation Pathways team at the University of Queensland. This is a full-time, fixed-term position for up to 2 years, with flexible working arrangements available.

About the Position

The primary purpose of this role is to work with the Innovation Pathways Lead and Lead Data Scientist to deliver innovative, high-quality results. You will be responsible for sourcing and analysing data, generating business insights, creating value, and driving evidence-based decisions.

Key Responsibilities

  • Engineer, prototype, validate, and deploy statistical and machine learning models using R and Python.
  • Develop and conduct complex statistical analysis plans for research studies, including the application of statistical analysis techniques such as regression, text mining, topic modelling, sentiment analysis, and choice modelling.
  • Build comprehensive data repositories through the integration of individual data sets, including primary and secondary data.
  • Engineer raw data into analysis-ready format and deploy statistical and machine learning models in the cloud to support visualisations and investigations.
  • Manage complex large-scale datasets, ensuring best-practice data governance and fulfilling ethical obligations.
  • Develop and deploy data visualisation tools and dashboard solutions, ensuring high standards of user experience.
  • Provide statistical consulting, identify data needs, and work with stakeholders to identify requirements for customer insights, innovation, and commercialisation.
  • Contribute to project publications, including reports, scholarly, and industry manuscripts, and presentations.
About the University

The University of Queensland is a world-leading institution, and as a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. You will have the opportunity to contribute to activities that have a lasting impact on our community.

About You

We are looking for a candidate with a PhD or masters qualification in Data Science or a related field, preferably with experience in data science approaches to drive evidence-based business decision-making. You should have experience and proficiency in collecting, investigating, manipulating, and analysing complex datasets using R and Python programming languages, as well as visualisation tools such as Shiny dashboards and Plotly.


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