Data Analyst / Data Scientist

Company:
Location: Canberra ACT

*** Mention DataYoshi when applying ***

Application closing date: Friday, 10 September 2021, 06:00 pm (in Canberra)

Estimated start date: Mon Sep 20 2021

Location of work: Australian Capital Territory

Length of contract: Initially 3 months

Contract extensions: Maybe extended up to 18 months

Security clearance: Must have current baseline clearance (Must be Australian Citizen)

Rates: $100 - $130 per hour (inc. super)



Health Economics and Research Division Responsibilities:
The Health Economics and Research Division is responsible for strengthening the Department's
evidence based approach. It is the central hub for the Department's data analytics, modelling, health
and medical research, health economics, performance measurement and evaluation capabilities.

Data and Analytics Branch Responsibilities:
1. provision of an internal analysis service to the department, including analysis to assist
program evaluation and policy development, geospatial services and data visualisation,
2. research and development, including the application of new analysis methods to areas
relevant to the department,
3. capability development, including skills development for existing staff, recruitment of analysis
specialists and, together with ITD, the creation of infrastructure for analysis,
4. data policy, and data access including advice on data security and privacy and
5. data development, including gaining access to new data and improving existing datasets.

Data Innovation for Policy Section Responsibilities:
1. Applying the latest data analytics techniques to the real-world challenges that exist in various policy and program management areas within the department (e.g. TGA Social Media work).
2. Building foundational analytic tools and techniques that can be applied to many problems within the department and across the broader government and academic research community (e.g. inferring chronic conditions from MBS and PBS items and patient journey representations).
3. Providing a surge capacity to assist divisions within the department to complete high profile and complex data analytic projects (e.g. vaccine division).
4. Developing the metadata and ethical underpinnings of health data and artificial intelligence to ensure that data is used well for the benefit of all Australians (e.g. discussion papers about metadata tools and AI ethical principles).
5. Ongoing communication and education across the Department to enhance how data analytics are applied.

Specific Project:
Implementation of the Australian COVID-19 vaccine rollout is of high national priority and visibility. Monitoring the COVID-19 vaccination rollout for different population cohorts can help identify vaccination coverage in priority and vulnerable populations such as those identified by the Australian Technical Advisory Group on Immunisation (ATAGI), thereby assisting in informing targeted public health actions and communications. All vaccines given to people in Australia, including COVID-19 vaccines, are recorded in the Australian Immunisation Register (AIR). Linking AIR data to other government data can provide visibility and insights into vaccine coverage in specific population cohorts. The Multi-Agency Data Integration Project (MADIP) is a partnership among Australian Government agencies to develop a secure and enduring approach for combining nationally important datasets. It incorporates population-level socio-demographic data such as the census, tax data, Medicare and Pharmaceutical data, disability data and more. This project links AIR data to MADIP data to provide population-level insights into COVID-19 vaccine coverage among specific cohorts of interest such as people with disability (PWD), culturally and linguistically diverse (CALD) populations, people in specific occupations (e.g. aged care workers), people with an underlying medical condition and potential low uptake groups. This project will create regularly reporting linked analytical outputs using supplementary high-quality socio-demographic data held in MADIP and AIR. It will also examine a variety of adhoc requests and longer-term research questions, including those related to vaccine effectiveness and safety.

Position Key Responsibilities
1. Weekly reporting – updating weekly vaccination coverage reports with refreshed data. Modifying weekly reports in response to evolving priorities and requirements.
2. Ad hoc analysis – using a range of data analytics, data science and data presentation techniques to provide insights in response to ad hoc requests and queries. Requirements aren't necessarily clear; creativity and strong problem-solving skills are necessary.
3. Producing high quality reports, slide decks, visualisations and dashboards (we use Qlik Sense, but experience using other BI tools is helpful.)
4. Collaborating with a range of stakeholders to refine business requirements. A track record of working well with others is necessary.
5. Ability to deliver high quality work under high pressure with tight timeframes is necessary.

Essential Criteria

  • Strong conceptual, problem solving, research and analytical skills including interpreting information and data as well as a high level of data modelling skills.
  • Solid written communication skills and capacity to produce high quality policy papers, briefings and reports with attention to detail.
  • High level interpersonal skills, with the ability to establish and maintain strong working relationships with internal and external stakeholders.
  • Ability to work independently with limited guidance, and to prioritise tasks to meet tight deadlines as well as work in a team when required.
  • Demonstrated policy and/or project management skills, including policy and/or project development, implementation, communication and risk management.
  • Experience in Microsoft Excel and/or programming languages for modelling, data analysis (e.g. SAS, R, Python and SQL etc.), and visualisation tools (e.g. Qlik, Tableau, etc.).


Desirable Criteria

  • University qualifications in data science, maths, statistics, actuarial studies, econometrics or economics or other similar areas

*** Mention DataYoshi when applying ***

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