Data Analyst (Women Count Data Programme)

1. Background: Since March 2020, UN Women and UNFPA are jointly implementing “EU 4 Gender Equality: Together against gender-stereotypes and gender-based violence” project[1], funded by the European Union. The project is operational in countries of Eastern Partnership (Armenia, Azerbaijan, Belarus, Georgia, Moldova and Ukraine) and has a regional component. The project is aimed at shifting harmful gender stereotypes and patriarchal norms limiting women’s rights, improving men’s participation in unpaid care work and father’s programmes, and increasing the knowledge and tools of social workers and civil society organizations on how to conduct evidence-based violence prevention programmes targeting perpetrators of domestic violence, including early intervention. Specifically, the regional component collates global and regional experiences to coordinate activities that will have an impact across all six countries within the project. The project is led jointly by UNFPA and UN Women, who are globally recognized as leading agencies in promotion of gender equality and prevention of harmful practices against women and girls. Both agencies have a long experience of addressing challenging gender stereotypes and practices, affecting social change and advancing women’s and girls’ rights and empowerment. The efforts of both agencies are fully complementary and further supported by their work with other UN agencies, civil society, and member states. Both agencies draw on considerable knowledge globally, regionally, and from the local level, and play a facilitating and convening role to involve all actors in the achievement of SDG 5 and other gender related SDGs targets. Harmful social norms, beliefs and stereotypes are the root causes of all existing inequalities and gender-based discrimination. By influencing and defining the way that a society perceives women and men, gender stereotypes can limit women’s ability to reach their full potential. The joint project works on shifting these stereotypes and aiming to achieve gender transformative behavioral change in society for women and girls to enjoy equal rights and opportunities. Under this objective, the UN Women ECA RO and the UNFPA EECA RO have conducted Baseline Study on Gender Stereotypes in the Eastern Partnership countries (EaP), i.e., Armenia, Azerbaijan, Belarus, Georgia, Moldova and Ukraine. The study identifies gender stereotypes among both women and men in the EaP across a range of thematic areas, including employment and leadership, household dynamics, gender-based violence (GBV), sexual relationships and reproductive health. The methodology includes desk review of previous surveys, interviews with stakeholders, quantitative survey in each country and a qualitative component (focus group discussions (FGDs). Based on the data found, the study presents a number of insights into existing gender norms and stereotypes and provides recommendations for each of the six countries. Having the study in place, UN Women and UNFPA plans to develop an analytical brief highlighting the key findings of the study, providing a concise regional snapshot with the most prevailing results, and identifying their linkages with the overall progress of implementation of the Beijing Declaration and Platform for Action in Europe and Central Asia. Since 2018, UN Women ECA RO is implementing a Flagship Programme Initiative (FPI): Making Every Woman and Girl Count: Supporting the monitoring and implementation of the SDGs through better production and use of gender statistics (Women Count)[2], developed by UN Women Headquarters (HQ), that 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. The Programme intends to achieve results in three interlinked areas of work:

1. Enabling environment: Building a supportive policy and institutional environment for the localization (i.e., national and local adaptation) and effective monitoring of the SDGs;
2. Data production: Increasing the quality, comparability and regularity of gender statistics to address national data gaps and meet reporting commitments under the SDGs and other international treaties and agreements, including the Convention on the Elimination of All Forms of Discrimination against Women (CEDAW) and the Beijing Platform for Action, as well as national priorities; and
3. Data accessibility: Ensuring that gender statistics are accessible to users in governments, civil society, academia and the private sector and are analysed to inform policy-making and advocacy and to monitor progress on the SDGs.

In 2020 the UN Women ECA RO developed a regional snapshot to summarize the progress towards gender equality in Europe and Central Asia 25 years since the adoption of the Beijing Platform for Action. In addition to this, UN Women ECA RO has also prepared dashboards with main indicators on gender equality for 56 countries of ECE region showing trends and statistics in the last 25 years. Having all of these knowledge products in place, UN Women ECA RO plans to develop an updated data snapshot which summarizes the progress in 16 countries from ECA region. On the other hand, the updated version of gender data set is envisaged to be used for the secondary data analysis at the regional and national level to inform the programmes and policies in gender equality. Also, the data analyst will be supporting the gender data gaps assessment of national statistical capacity to report on gender related SDGs indicators. This analysis will serve as a basis to prioritize the normative and programmatic work of UNWomen in ECA region, but also will inform the priorities for the next strategic note. With this aim UN Women ECA RO will hire a Data Analyst who will prepare a brief analytical overview of the Baseline Study on Stereotypes focusing on regional trends and drawing regional recommendations that can be applicable to all six countries, and also will develop an updated data snapshot to summarize the progress in 16 countries from ECA region 25 years after Beijing. [1] https://eca.unwomen.org/en/what-we-do/ending-violence-against-women/eu-4-gender-equality [2] https://www.unwomen.org/en/how-we-work/flagship-programmes/making-every-woman-and-girl-count 2. Goal and objectives: The objective of this assignment is to:

1. Develop an analytical brief based on the findings and data generated by the Baseline Study on Gender Stereotypes, including key findings and recommendations that can be applicable to all countries. The report will look at four thematic areas the study is focusing on i.e., employment and leadership, household dynamics, gender-based violence (GBV) and sexual relationships and reproductive health and will identify linkages between the study findings and achievements towards gender equality in the region.
2. Develop three sub-regional analytical briefs/factsheets on progress towards gender equality using as a basis the dataset compiled for the development of Regional Data snapshot Keep the promise, accelerate the change: Taking stock of gender equality in Europe and Central Asia 25 years after Beijing[3] and Women and Families report. The analytical/factsheets will look at the priority indicators on gender equality for 16 countries from Eastern Europe, Caucasus, Central Asia and Western Balkans, and Turkey.
3. Conduct a mapping of gender related SDG indicators availability in 16 countries across Europe and Central Asia countries and compile a summary on progress towards filling gender data gaps.

[3] https://eca.unwomen.org/en/digital-library/publications/2020/10/keep-the-promise-accelerate-the-change

Duties and Responsibilities

3. Duties and Responsibilities: Under overall guidance and direct supervision of the UN Women ECA RO Data Specialist and Programme Manager of the EU4GE joint project, the Data Analyst will: a. Develop an analytical brief based on the Baseline Study on Stereotypes in EaP countries with a regional snapshot on key findings and recommendations using the dataset from the study which will include, but will not be limited to the following tasks:

• Develop a conceptual framework on compiling the analytical report based on the dataset of the Baseline Study on Stereotypes[4].
• Review study findings including the country profiles, draw parallels with the findings of the desk review, identify key findings that can illustrate regional trends for 4 thematic areas as follows:
  • employment and leadership
  • household and family
  • gender-based violence (GBV)
  • sexual relationships and reproductive health
• Based on discussions with UN Women ECA RO, produce analytical brief to highlight the key findings of the study and regional trends and draw recommendations applicable for six countries.
• Suggest editorial changes to the respective sections of the report on the findings of the Baseline Study on Stereotypes, based on the conducted analysis.
• Participate in the regular online meetings with UN Women team to plan and coordinate the assignment-related activities.

b. Conduct a mapping of gender related SDG indicators availability in 16 countries across Europe and Central Asia countries and compile a summary on progress towards filling gender data gaps in ECA region, which will include:

• In cooperation with UN Women, develop a conceptual framework for assessment of gender data gaps to report on gender equality and women’s empowerment from the perspective of gender related indicators and level of disaggregation availability.
• Compile a summary of national statistics capacity to collect and report on gender related indicators.

c. Develop three sub-regional analytical briefs/factsheets on progress towards gender equality using as a basis the dataset compiled for the development of Regional Data snapshot Keep the promise, accelerate the change: Taking stock of gender equality in Europe and Central Asia 25 years after Beijing[5] and Women and Families report, which will include:

• In cooperation with UN Women, develop a conceptual framework on topics/area and indicators to be covered in the analytical briefs.
• Review available dataset on gender equality indicators and update with latest available data at the regional and global data bases (data set to be provided by UN Women).
• Compile a dataset of indicators per thematic area to be used for future analysis at the regional and national level.
• Compile sub-regional analytical briefs, maximum 5 pages each.

[4] UN Women ECA RO will provide the consultant with the dataset including the quantitative and qualitative data. [5] https://eca.unwomen.org/en/digital-library/publications/2020/10/keep-the-promise-accelerate-the-change 4. Expected deliverables 1. Detailed individual work plan and timeline for the assignment.By 9 July 2021 2. Draft analytical brief prepared, submitted and agreed by UN Women ECA RO. By 20 July 2021 3. Final analytical brief prepared, incorporating UN Women ECA RO comments and recommendations. By 30 July 2021 4. Conceptual framework on gender data assessment submitted and agreedBy 30 July5. Summary of gender data assessment submitted and agreed with UN Women (draft and final version)By 10 July6. Draft of conceptual framework of analytical briefs submitted and agreed with ECA RO By 10 September7. Dataset of indicators and draft of analytical briefs/ factsheets By 20 September8. Final set of three sub-regional analytical briefs/factsheets submitted and agreed with UN Women ECAROBy 28 September 5. 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

Required Skills and Experience 6. Qualifications Education:

• Advanced (Masters) degree in sociology, social or political sciences or relevant field to the requirements of the TOR.

Experience:

• 5 years of relevant experience in data collection, analysis, and research;
• Proven experience in working in the areas of human rights and gender analysis;
• Proven experience on conducting the similar assessments and studies;
• Experience of work with gender equality and women’s empowerment issues in the Eastern Europe and Central Asia is an asset;
• Previous professional experience with development agencies and/or the United Nations is an asset.

Languages and other skills: 

• Proficient in written and oral English;
• Computer literacy and ability to effectively use computers, including advance Excel skills and and/or knowledge of related analytical software (SPSS, Stata etc.) and standard applications for concise communication and development of complex written documentation;
• Excellent analytical and writing skills.

6. Application Process  The application should include:

• Personal History Form (P-11 form) - including past experience in similar assignments; can be downloaded at http://www.unwomen.org/about-us/employment, a signed copy should be submitted;
• Financial Proposal: Specify a total lump sum amount for the tasks specified in this Terms of Reference. The financial proposal shall include a breakdown of this lump sum amount (per deliverable, travel costs, per diem any other possible costs as relevant);
• Candidates should have the ability to quickly produce degree certificates and medical certification (of good health) should they be short-listed in consideration of the consultancy post.

7. Management and financial arrangements The contractor will report to and work under direct supervision of UN Women Programme Manager of the EU4GE joint project. Payment will be disbursed in two installments upon submission and approval of deliverables and certification by UN Women ECA RO that the services have been satisfactorily performed as specified below:

• Deliverable 1-3 – 43% of contract amount
• Deliverable 4-5 – 29% of contract amount
• Deliverable 6-8 – 28% of contract amount

8. Evaluation process Consultants will be evaluated using a cumulative analysis method taking into consideration the combination of qualifications and financial proposal. The candidates must possess following minimum qualification criteria to be eligible for further technical evaluation:

• University degree in sociology, social or political sciences or relevant field to the requirements of the TOR
• Proven experience in data collection and analysis;
• Computer literacy and ability to effectively use computers, including advance Excel skills and and/or knowledge of related analytical software (SPSS, Stata etc.) and standard applications for concise communication and development of complex written documentation;
• Fluency in English (speaking and writing)

Only candidates obtaining a minimum of 49 points in the technical evaluation would be considered for financial evaluation. TECHNICAL EVALUATION (70%)Language RequirementsFluency in written and spoken English REQUIREDEducation Advanced degree in sociology, social or political sciences or a related field 10 0: without relevant university degree 10: relevant university degree (PhD degree will be considered as the advantage) Professional ExperienceAt least 5 years of relevant experience in data collection, analysis, and research 25 0: without relevant expertise and experience 0-15: 5 years of experience 15-25: more than 5 years of experience Proven knowledge of human rights and gender analysis 10 0: without experience/expertise 0-5: 5 years of experience/expertise 5-10: more than 5 years of experience/expertise Proven experience in conducting the similar assessments and studies 10 0: without experience/expertise 10: proven experience of conducting of similar assignments available Specialized KnowledgeProven experience of work with gender equality and women’s empowerment issues in the Eastern Europe and Central Asia is an asset 10 0: without experience 0-5: 5 years of experience/expertise 5-10: more than 5 years of experience/expertise Previous experience with development agencies and/or the United Nations is an asset 5 0: without experience 5: Demonstrated experience Total technical 70 Financial Evaluation (30%) – max. 30 points: The maximum number of points assigned to the financial proposal is allocated to the lowest price proposal. All other price proposals receive points in inverse proportion. Evaluation of submitted financial offers will be done based on the following formula: p = 30 (µ/z), using the following values: p = points for the financial proposal being evaluated µ = price of the lowest priced proposal z = price of the proposal being evaluated