Danish Refugee Council
tendersglobal.net
JOB DESCRIPTION
ABOUT THE COMPANY:
UN Women is the global champion for gender equality, working to develop and uphold standards and create an environment in which every woman and girl can exercise her human rights and live up to her full potential. We are trusted partners for advocates and decision-makers from all walks of life, and a leader in the effort to achieve gender equality.
Background
UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality between women and men as partners and beneficiaries of development, human rights, humanitarian action and peace and security.
To support member states in implementing the 2030 Agenda, UN Women’s Flagship Programme Initiative Making Every Woman and Girl Count (Women Count) aims to affect a radical shift in the production, availability, accessibility and use of quality data and statistics on key aspects of gender equality and women’s empowerment.
Women Count, delivered significant results in scaling up work on gender statistics availability, accessibility, and use during Phase I of its implementation.
Phase II of Women Count (2022-2025), a multi-year and multi-country programme of work, is the key UN Women programmatic tool to support Member States to strengthen the mainstreaming of gender perspectives in statistics and to monitor the Sustainable Development Goals (SDGs) through three interlinked areas of work:
- Building a supportive policy and institutional environment for the localization and effective monitoring of the Sustainable Development Goals (SDGs);
- Increasing the quality, comparability and regularity of gender statistics to address national data gaps and meet reporting commitments under the SDGs; and
- Ensuring that gender statistics are accessible to users in governments, civil society, academia and the private sector, to strengthen adequate demand for their production.
Under the supervision of the Regional Gender and Statistics Specialist, Regional Office for Asia and the Pacific (ROAP), and advised by the Manager, Statistics leadership, governance and use at SPC, the Statistics Specialist consultant will support the implementation of the Women Count, Phase II, in the Pacific region.
This includes providing coordination and technical support for the implementation and analysis of official surveys, conducting analysis of microdata, big data and other data sources, managing the production of statistical publications, and promoting the use of data for decision and policymaking in Pacific countries.
Given that liaison with SPC and data analysis are key functions of the Statistics Specialist, the incumbent will be based in SPC’s headquarters in New Caledonia.
Duties and Responsibilities
- Support Pacific Island Countries with the generation of gender data, including through national surveys, reprocessing existing data, and analyzing big data.
- Coordinate with national statistics offices, other government counterparts, and SPC to identify gender data production priorities in Pacific Island Counties, and fill data gaps, including by implementing the Pacific Roadmap on Gender Statistics.
- Work with national statistics offices and other counterparts to implement gender-related national surveys, including Gender and Environment Surveys, Time Use Surveys, and other surveys.
This includes supporting the design and facilitation of training on pre-survey training, advising on the development survey operations, and supporting data compilation, analysis and indicator calculation.
- In collaboration with national governments, the SPC and the UN Women ROAP teams, analyze microdata, big data and other data sources, to generate gender statistics and draft gender statistics publications.
- Utilize statistical modelling techniques to identify patterns and generate projections on key gender issues of importance in the Pacific region.
- Create data visualizations and gender data communication products, including factsheets, social media products, and infographics.
2.
Coordinate and liaise with stakeholders, including project countries, to support the overall implementation of Women Count Phase II in the Pacific.
- Organize and co-chair, in partnership with SPC, quarterly meetings of the Pacific Gender Statistics Coordination Group.
- Attend and contribute to coordination and intergovernmental meetings related to statistics in the Pacific, including the SDGs.
- Support the coordination between ROAP, national statisticians, other government counterparts, and UN Women country offices to promote the production of gender statistics and their use for decision making and to inform the implementation, monitoring and development of policies and strategies.
- Work closely with ROAP and SPC to support countries in the implementation of the Pacific Roadmap of Gender Statistics.
3.
Provide technical support to promote the production and use of gender statistics in the Pacific.
- Support the preparation and facilitation of gender data user-producers dialogues.
- Design and facilitate training and other forms of statistical capacity building on gender statistics, covering both production and use.
- Prepare background documents and guidance materials to inform national policy dialogues and promote evidence-informed decision-making.
4.
Provide coordination and technical support on other activities pertaining to gender data production and use as needed.
Deliverables | Target Date |
The monthly deliverables may include:
|
September 2024
October 2024 November 2024 December 2024 January 2025 February 2025 March 2025 April 2025 May 2025 June 2025 July 2025 August 2025 |
Consultant’s Workplace and Official Travel
This is a full-time, office-based consultancy initially based in Bangkok, Thailand, with relocation to the Pacific Community (SPC) office in Nouméa, New Caledonia, when possible.
As part of this assignment, travel to Pacific Island Countries is expected (subject to the availability of funds).
Competencies
Core Values:
- Respect for Diversity
- Integrity
- Professionalism
Core Competencies:
- Awareness and Sensitivity Regarding Gender Issues
- Accountability
- Creative Problem Solving
- Effective Communication
- Inclusive Collaboration
- Stakeholder Engagement
- Leading by Example
Please visit this link for more information on UN Women’s Core Values and Competencies:
https://www.unwomen.org/en/about-us/employment/application-process#_Values
FUNCTIONAL COMPETENCIES:
- Strong analytical skills, including for gender-sensitive survey data analysis, analysis of non-conventional data sources, and statistical modelling.
- Strong survey design and implementation skills.
- Ability to communicate clearly and effectively, including for training others.
- Ability to listen and provide targeted technical advice to colleagues and national government representatives.
- Familiarity with international methodologies for the generation of gender statistics.
- Experience with gender data visualization and communication.
- Ability to implement activities in a timely and efficient manner.
- Strong teamworking skills.
- Affinity with UN Women’s mandate of gender equality and women’s empowerment.
Required Skills and Experience
Education and Certification:
- Master’s degree in statistics, gender statistics, economics, mathematics or related fields.
- A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.
Experience:
- A minimum of 5 years of work experience on statistics and analytics, at the national and/or international level.
- Professional experience conducting microdata analysis, analyzing big data, and/or with statistical modelling, including from a gender angle is required.
- Experience drafting statistics-based research and related reports, or other data communication products is required.
- Professional or academic experience with the facilitation of statistical training, ideally on gender statistics, is required.
- Experience in survey questionnaire and sample design, data processing, data quality assessment and data analysis is required.
- Experience supporting national statistical systems with statistical production processes and/or gender data collection, analysis, use and dissemination is an asset.
- Experience supporting national policy makers on data use for evidence-based decision-making is an asset.
Languages:
- Fluency in English is required.
- Working knowledge of another official UN language is an asset.
- Ability to write syntax in Stata or R is required.
How to Apply
- Personal CV or P11 (P11 can be downloaded from: https://www.unwomen.org/sites/default/files/Headquarters/Attachments/Sections/About%20Us/Employment/UN-Women-P11-Personal-History-Form.doc )
- A cover letter (maximum length: 1 page)
- Shortlisted candidates will be requested to provide a publication featuring gender statistics which they have led or substantially contributed to, including with producing the data featured.
Diversity and Inclusion Statement:
At UN Women, we are committed to creating a diverse and inclusive environment of mutual respect.
UN Women recruits, employs, trains, compensates, and promotes regardless of race, religion, color, sex, gender identity, sexual orientation, age, ability, national origin, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, competence, integrity and organizational need.
If you need any reasonable accommodation to support your participation in the recruitment and selection process, please include this information in your application.
UN Women has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UN Women, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination.
All selected candidates will be expected to adhere to UN Women’s policies and procedures and the standards of conduct expected of UN Women personnel and will therefore undergo rigorous reference and background checks. (Background checks will include the verification of academic credential(s) and employment history.
Selected candidates may be required to provide additional information to conduct a background check.)
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