Statistical & Qualitative Data Analyst, Pacific Labour Facility (PLF)
Company Overview
Palladium is a global leader in the design, development and delivery of Positive Impact - the intentional creation of enduring social and economic value. We work with foundations, investors, governments, corporations, communities and civil society to formulate strategies and implement solutions that generate lasting social, environmental and financial benefits.

For the past 50 years, we have been making Positive Impact possible. With a team of more than 2,500 employees operating in 90 plus countries and a global network of more than 35,000 technical experts, Palladium has improved - and is committed to continuing to improve - economies, societies and most importantly, people's lives.

Palladium is a child-safe organisation, and screens applicants for suitability to work with children. We also provide equal employment to all participants and employees without regard to race, color, religion, gender, age, disability, sexual orientation, veteran or marital status.

Project Overview and Role

Project
The Pacific Labour Scheme and the Seasonal Worker Programme are two employment programs sponsored by the Australian government, which allow citizens of Pacific Countries to take up low and semi-skilled work opportunities with Australian employers in certain locations and industries.

The Pacific Labour Facility (PLF) facilitates the connection of Australian employers with Pacific workers for both these programs. The facility also provides continuous support to Pacific workers who are taking part in the programs. The PLF will act as a trusted intermediary in connecting Australian employers with Pacific workers and in its partnerships with Pacific countries, the private sector and other stakeholders. The PLF is managed by Palladium on behalf of the Department of Foreign Affairs &Trade (DFAT).

The primary objective of the Statistical & Qualitative Data Analyst is to work within the Quality, Learning and Performance Team (QLP) to support the planning, coordination and management of Monitoring, Evaluation, Research and Learning (MERL) activities.

Responsibilities

Duties
Under the direction of the QLP Lead the Statistical & Qualitative Data Analyst will:

Research and Analysis
  1. Undertake quantitative and qualitative research in a range of areas related to the PLF.
  2. Contribute to the design and delivery of research projects including the development of survey instruments and interview protocols, ethics applications and other research materials for work being conducted in-house and by contractors.
  3. Lead the training of Pacific-based research staff engaged to survey workers.
  4. Coordinate research tasks and projects, monitor and prioritise work to meet deadlines.
  5. Undertake technical reviews of data analysis plans, research and technical reports prepared by the Study Working Group members, contractors and consultants.
  6. Lead the undertaking of statistical analysis and research of the data collected to develop working papers, reports, publications and other communication material as required.
  7. Assist with the design, collection and analysis of data potentially including:
a. The roll out of tracer studies to monitor Pacific workers in Australia and on their return home.
b. A Survey of Australian employers engaged with the SWP and PLS schemes
c Any other PLF research activities being conducted in-house or by contractors.
Data Analysis and Data Management
  1. Take a proactive and innovative approach to identifying data needs for the PLF and work closely with the Research Lead and MERL staff to meet the analytical needs of the PLF.
  2. Manage and deliver the data management timelines to meet the PLF milestones.
  3. Monitor progress and resolve issues on data collection and data management related deliverables by contractors.
  4. Manage all datasets obtained from external bodies as well as from in-house data collection activities undertaken under the PLF, including cleaning, organising and making the data accessible.
  5. Provide statistical and technical advice to other data users across the PLF team.
  6. Provide quality assurance, review and coaching for peers and junior team members to enhance their data analysis capabilities.
  7. Conduct analysis as required on all datasets held by the PLF including:
a. administrative datasets of relevance including but not limited to: ABS Labour Force data; Department of Jobs and Small Business SWP and PLS data; Department of Infrastructure regional employment data; Department of Home Affairs immigration data.
b. data supplied by external contractors including longitudinal data supplied by the ANU and World Bank.
c. data generated through in-house PLF data collection activities including, but not limited to: surveys of Pacific workers in Australia; tracer studies of Pacific workers on their return home; and Australian employer surveys.
Documenting and Communicating Research Findings
  1. Prepare statistical reports from the PLF primary data collection activities.
  2. Work with the Research Lead to document and report on the impacts of the PLS and SWP on regional industries and communities in Australia, and the source country communities.
  3. Conduct socio-economic (e.g. gender, industry sectors, labour force) and spatial analysis (e.g. cities, regions, remote areas) of data for presentation in graphical and map-based formats.
  4. As required prepare publications, reports, short articles, presentations and audio-visual media to communicate research findings both in-house and to all external stakeholders.
Stakeholder engagement
  1. Build and maintain productive alliances and professional relationships within the Palladium Team, the broader development research sector and representative community groups.
  2. Liaise with contracted research consultants, government agencies, community organisations, research staff, research participants and other stakeholders.
  3. Respond to a range of data requests from with the PLF team as well as from key external stakeholders.

Requirements

  1. A higher degree in a relevant social sciences discipline (e.g. Development Studies, Human Geography, Sociology, Demography).
  2. Extensive experience managing and conducting quantitative and qualitative research projects, particularly with respect to complex populations.
  3. Broad understanding and experience with a range of quantitative and qualitative research methodologies, including research design, conducting fieldwork, survey techniques, interviewing approaches and longitudinal research.
  4. High level data analysis and data management expertise, with an ability to work with existing administrative data sets as well as with unit record files generated from surveys.
  5. Technical expertise related to data preparation and presentation including statistical analysis, socio-economic and demographic analysis, spatial analysis and mapping.
  6. Strong research communication skills including the capacity to prepare accessible publication standard written reports and to present findings verbally for a wide range of stakeholder audiences.
  7. Excellent stakeholder engagement and interpersonal skills, including the capacity to work collaboratively as an effective team member, and to liaise with a broad range of internal and external stakeholders.
  8. Excellent organisational and project management skills, including an ability to initiate and follow up tasks, work independently, and prioritise and monitor progress.
Desirable skills and experience
  1. A strong understanding (or clear capacity to develop understanding) of labour mobility issues in the Pacific region and its associated challenges and complexities.
  2. Experience with one or more of the following statistical analysis software and mapping programs - R, STATA, SPSS, SAS and QGIS.
  3. Experience working with multi-cultural populations and in diverse and sometimes challenging environments.

Details
Intermediate Level
Brisbane, Australia, Australia
Closing date:
05 May 2019