Data Analyst

IT Alliance; Melbourne; Vor Ort; AUD 110.000 - 150.000; Vollzeit

Zusammenfassung

IT Alliance seeks a Lead Data Analyst for a long-term contract with a Federal Government client. The role requires Baseline Security Clearance or higher and is located across Canberra, Brisbane and Melbourne.

This position emphasizes advanced data storytelling, the development of data products, and leadership in data integration, analytics and visualization. Initially 12 months with potential extension to 36 months.

Qualifikationen

• Data communication: develop and deliver advanced narratives to communicate insights from complex data sources; adapt for non-technical audiences.
• Data outputs/services: expert in producing data outputs or products; build capability in delivering data services.
• Identify research questions: assess data needs and gaps to form appropriate questions.
• Integrate data: perform data integration with standard tools and implement quality controls; understand datasets’ suitability for linkage.
• Statistical data analysis: contribute to analytics functionality; write scripts in a statistical language; follow AI-based trends.
• Subject matter expertise: be an expert resource on data use within the subject area.
• Visualise data: produce data visualisation outputs and select appropriate mediums.

Kenntnisse

Data storytelling

Data products

Identify research questions

Data integration

Statistical analysis

Subject matter expertise

Visualise data

Jobbeschreibung

One of our Federal Government Clients is seeking to engage a Lead Data Analyst. This is a long-term contractual position.

Please check below all the job details

Contract Duration: 03 Years (12 months initially + 24 months extension)

Work Location: Canberra, Brisbane and Melbourne

Eligibility: You must need to have Baseline Security Clearance or above.

Mandatory Skills & Experience

• Data communication: Level 3 (DCF) – Can develop and deliver advanced level narrative to communicate insights drawn from complex data sources and outputs. Maintains understanding of new trends and innovations relating to data communication (including Artificial Intelligence-based technologies) and develops skills in these where relevant. Understands the importance of translating technical concepts into non-technical language, and can adapt communication effectively for a range of audiences. Can use innovative approaches to improve the process of summarising data into meaningful narratives. Uses high quality analytics and visualisation to communicate insights from data. Can effectively listen to technical and business stakeholders, and understand and interpret their data needs.
• Data outputs, products or services: Level 3 (DCF) – Has expert knowledge about the production of a data output, product or service. Provides expertise in developing new products or data services to meet evolving requirements, needs and opportunities. Can build the capability of others in the delivery of data outputs, products or services.
• Identify research questions: Level 3 (DCF) – Uses a range of techniques to assess data needs and identify gaps, towards the formulation of appropriate research questions.
• Integrate data: Level 2 (DCF) – Can perform data integration using standard tools and can implement quality controls. Knows where to obtain expert advice on data integration as needed. Is able to understand and amend existing code (programming language) to integrate data. Can assess datasets’ suitability for linkage and extract appropriately prepared datasets.
• Statistical data analysis: Level 3 (DCF) – Contributes to the development of new functionality for statistical analysis applications, which enables new ways of doing things. Can write custom scripts and code in a statistical computing language to conduct complex analytical tasks. Maintains understanding of new trends and innovations relating to statistical data analysis (including Artificial Intelligence-based technologies) and develops skills in these where relevant.
• Subject matter expertise: Level 3 (DCF) – Is an expert resource on the subject matter area associated with data use, including understanding and influencing the effective use of the data within that subject matter area and the relationship between that use and other data use contexts.
• Visualise data: Level 2 (DCF) – Can readily produce a range of data visualisation outputs (including complex graphs and map visualisations) and can critically assess and enhance those produced by others. Can select the most appropriate medium to visualise data.