Data Analyst

Job Details

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Emanate Technology is working with a key client to seek the services of a skilled Data Analyst. As part of this role the Data Analyst will be reporting to the Director and will be responsible for gathering, cleaning, manipulating and integrating data from a range of sources to produce new datasets and visualisations.
The preferred candidate will be working in a RStudio and Python script environments with some prototyping in Posit/RShiny for a range of audience cohorts and across a range of platforms and devices.

Duties and Responsibilities Include (but not limited to) :

• Apply technical expertise and sound mathematics and statistical knowledge to support data discovery, gathering, cleaning, transformation and analysis with meticulous attention to detail.
• Be familiar with or able to quickly understand labour market and skills data from a range of sources and their inter-relationships.
• Ensure high-quality data and script integrity through meticulous routine quality assurance.
• Effectively navigate R Studio to update data sets and run data queries.
• Working with product managers and data scientists to develop metrics and visualisations for a range of different audiences.
• Work both independently and within a team to achieve strategic objectives.

Capabilities & Experience :

• 3-5 years’ experience in data collection, validation, transformation, and analysis.
• Advanced Excel skills, proficiency in R programming, experienced with SQL and Python.
• Strong understanding of mathematics and statistical methods and techniques for data analysis, such as regression analysis.
• Experienced with git source control and services (GitHub).
• Excellent organisational and time management skills, able to work under pressure.
• Able to collaborate effectively in a fast-paced, multidisciplinary team.
• Preferably a relevant tertiary degree in ICT, statistics, science, or something similar.
• Demonstrate a good understanding of some labour force and skills datasets, such as ANZSCO, ANZSIC, Labour Force Survey data, NCVER data, Higher Education data, or others.
• Ability to learn quickly, work to short deadlines and manage competing priorities of varying complexity and urgency.
• 1-2 years’ experience in data visualisation using tools such as Excel, Power BI, R Shiny, etc.

To apply for this role, you must be an Australian citizen with the ability to gain and maintain a security clearance.