Le PNUD recrute un Analyste de la gestion des données et du suivi et de l’évaluation, Bissau, Guinée-Bissau

BACKGROUND

UNDP is committed to achieving workforce diversity in terms of gender, nationality and culture. Individuals from minority groups, indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the strictest confidence.

UNDP does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment, and discrimination. All selected candidates will, therefore, undergo rigorous reference and background checks.

1. OFFICE/UNIT/PROJECT DESCRIPTION 

In 2020, as part of the Decade of Action to deliver the Global Goals for sustainable development, the “Data Strategy of the Secretary-General for Action by Everyone, Everywhere with Insight, Impact and Integrity” was released. In its data strategy released early 2021, UNDP recognizes that the lack of a robust, integrated approach to collecting, storing, and using data hinders our ability to serve member states and creates privacy, confidentiality, and reputational risks. The immediate priority is to use data as a strategic asset, to get the foundations to mitigate the risks and start to address the fragmentation, before exploring the use of new data tools and techniques. Based on these lines of reflection, the UNDP office in Guinea-Bissau has positioned itself to create conditions conducive to responding to the need to have reliable and coherent data to guide its actions on the ground.

Despite the institutional, legal and normative provisions, namely (i) Law No. 6/2007 of 10 September 2007 and (ii) the Decree-Law approved by the Council of Ministers on 6 September 2017 taken by the Government and the equipping of the National Statistics Institute (INE) in charge of managing statistical activity, the situation of data availability in Guinea-Bissau remains fragile,  in need of much improvement and institutional and technical capacity building of the staff responsible for data production and processing. The Voluntary National Review report produced by the Government of Guinea-Bissau, with support from the UN System, reveals that there are difficulties in obtaining statistical data to measure the country’s progress towards the SDGs. The lack of data is a reality in the country, so much so that several indicators in important documents such as the National Development Plan (NDP), CPD, UNSDCF, CCA, etc. lack basic information to quantitatively measure the progress made.

To help remedy the existing gaps in statistical data availability, UNDP recruited an international consultant in 2021 to build an evidence based system that would facilitate the Office  in making decisions and conducting its policy support to Guinea-Bissau. At the end of the first phase of the consultancy and with the need to consolidate, solidify and have a broad, coherent and reliable database, UNDP intends to recruit an IPSA-9 level expert to design the database to enhance and continue the work already started. The expected outcomes of this post are part of the activities under the GB 2030 project “Building Forward Better in GB” designed and implemented by UNDP to support Guinea-Bissau in the implementation of the SDGs.

2. SCOPE OF WORK

The specialist could have a two-fold role whereby (s)he also strengthens the internal capacities of the Economic and Strategy Cluster, especially in what concerns monitoring, reporting and evaluation activities of each project and the Cluster as a whole. This would also support the Cluster’s efforts to switch to a portfolio approach as it would contribute to a more coherent and integrated implementation of projects in response to the Cluster’s immediate objectives as reflected in the Country Programme Document 2022-2026. Below is a structured overview of the tasks and responsibilities of the specialist on Data Management and M&E Analyst.

I.            Data Action Plan

• Oversee and coordinate implementation of the action plan
• Report on the progress, identify challenges and mitigation responses
• Liaise with key stakeholders to explore synergies and ensure a coherent approach to the Integrated National Financial Framework (INFF)
• Lead implementation of the SDGs, INFF and crisis response dashboards, together with INE and other relevant stakeholders
• Promote the use of data management tools at the programme and cluster level.

II.           Cluster M&E systems

• Provide technical advice for designing and implementing integrated and comprehensive data collection and analysis tools
• Design data collection tools, data storage systems, and analytical products
• Develop an intervention logic and monitoring matrix to centralize data at cluster level
• Strengthen results frameworks during and after the design phase of projects
• Support the development of M&E reporting and communication materials with the objective of highlighting results through data
• Assist and preparing data reports, both internally and for partners, and incorporating data analysis into narrative reports, including annual reports.

The work of the expert will be based on three fundamental pillars, namely (1) Governance; (2) People and (3) Technology, as follows:

Pillar 1: Governance

Governance mechanisms will be put in place to ensure coherence, oversight and accountability. This is particularly important as the Country Office is already leading different parallel data-driven initiatives, namely the Financial Inclusion project, the Evaluation of Financing for Development, and IPA’s tasks in establishing an Evidence Laboratory and enhancing the capacity of the National Statistical Institute. As such, a (yet to be created) coordination unit will be created (See Pillar 2) to support Senior Management and oversee all activities under the action plan, as well as to prepare timely internal reports on progress achieved. The Governance Pillar is expected to deliver three key results. The first concerns an assessment that will be carried out through: (1) a data mapping; (2) a data management maturity analysis; (3) a meta study to compile the findings, conclusions and recommendations of previous studies commissioned. These activities will also enable the team to identify overlaps between indicators required for different purposes (e.g. the Voluntary National Review, the Crisis Risk Dashboard, the INFF, the SDG Dashboard and the Statistical Office)

The second outcome will be a set of policies and procedures regarding data management based on (1) the identification of key corporate documents relating to privacy, ethics and data protection; and (2) in line with the Global Data Strategy, Headquarters is expected to produce certain data guides that, once available, will be adapted to the Guinea-Bissau context and systematically applied. The action plan aims to strengthen governance mechanisms not only within UNDP but also among key national institutions. To this end, the Country Office plans to increase the national capacity of selected partners with respect to data management, including data collection, validation, storage, analysis, reporting and dissemination. This will be achieved through: (1) trainings and workshops for capacity building; (2) provision of data infrastructure and procurement in line with institutional needs; and (3) advisory support to national partners in the design and maintenance of an SDG dashboard. This integrated approach will require continuous coordination and planning among key stakeholders.

Pillar 2: People

The second building block of the action plan focuses on the necessary workforce and capabilities to ensure a smooth and effective implementation. As such, the first main output within this pillar is the Data Team which will be appointed to serve as a coordinating unit and ensure that activities remain coherent and mutually reinforcing. To this end, the CO shall: (1) identify staff members who already possess a certain level of technical knowledge and skill and who can join the Data Team; and (2) officialize the data team and its role. In line with UNDP People’s Strategy (People for 2030) to foster continuous skills development, the action plan also anticipates an increased in-house technical capacity through training activities focused on specific topics that are of interest and relevance. This includes data visualization, geographical information systems, programming, and web tools. Additional activities have also been planned such as monthly data literacy events. However, to avoid staff fatigue, it will also be important to conduct a short survey beforehand to understand the CO appetite for such events as well as the main cluster needs so that this can inform the data events and ensure a more engaging dynamic.

Pillar 3: Technology

To reach its full potential as a data-driven organisation, UNDP Guinea-Bissau will strengthen its technological infrastructure. The first expected outcome under this pillar relates to new data tools to improve internal data management. This will be achieved through: (1) a data catalogue and (2) a cloud-based data centre.  The Action Plan also foresees increased access to software that will support the Data Team in each step of the data management process. To this end, the Economic and Strategic Unit will: (1) identify active licenses and additional software needs; and (2) acquire the respective licenses. In this output, the Office plans to: (1) define the desired architecture and requirements of such database and preferably with a strong user interface design; (2) launch the CRD as soon as it is ready so that it can start supporting programme monitoring and early warning; (3) include GIS in the CRD to enhance environmental, demographic and topographic analysis; and (4) reflect media trends in the CRD. Additional activities will be defined especially in relation to SDG and financial data as these will need to be harmonized with the CRD.

3. INSTITUTIONAL ARRANGEMENT

Under the coordination of the Head of the Strategic and Economic Cluster, the expert will be supervised by the National Economist who will support him/her in his/her tasks. The recruited expert will work independently and will be responsible for the results requested in his/her TORs. The Specialist on Data Management and M&E Analyst will be available to collaborate and, under the authority of the Senior Management, carry out all other tasks deemed important to facilitate the achievement of UNDP objectives and programmes in Guinea Bissau.

4. Competencies

Core

Achieve Results:
LEVEL 2: Scale up solutions and simplifies processes, balances speed and accuracy in doing work
Think Innovatively:
LEVEL 2: Offer new ideas/open to new approaches, demonstrate systemic/integrated thinking
Learn Continuously:
LEVEL 2: Go outside comfort zone, learn from others and support their learning
Adapt with Agility:
LEVEL 2: Adapt processes/approaches to new situations, involve others in change process
Act with Determination:
LEVEL 2: Able to persevere and deal with multiple sources of pressure simultaneously
Engage and Partner:
LEVEL 2: Is facilitator/integrator, bring people together, build/maintain coalitions/partnerships
Enable Diversity and Inclusion:
LEVEL 2: Facilitate conversations to bridge differences, considers in decision making.

Cross-Functional & Technical competencies

Data Management and M&E Analyst

• Data collection and analysis

Being skilled in Data Sorting, Data Cleaning, Survey Administration, Presentation and Reporting including collection of Real-Time Data (e.g. mobile data, satellite data, sensor data).

Ability to extract, analyse and visualize data (including Real-Time Data) to form meaningful insights and aid effective decision making.

• Developmental evaluation

Being able to carry out evaluation thinking in complex systems and adapting evaluation strategies to changing realities.

Ability to set up the structures, conditions, rituals to create a culture for curiosity, reflection and learning and promote evaluation results and insights from a learning perspective.

Understand key principles of systems and complexity theory.

• Digital ecosystems

Knowledge of how they work, understanding of the opportunities and challenges for governments and society.

• Innovation capacity building and management

In-depth knowledge of one or more innovation methods, broad knowledge of innovation processes and innovation management.

Ability to align a learning and development strategy with broader innovation strategy.

5. MINIMUM QUALIFICATIONS OF THE SUCCESSFUL IPSA

Min. Academic Education

Master’s degree in Business Administration, Economics, Statistics, Engineering, Computer Science, or other discipline with quantative focus.

Min. years of relevant Work experience

2 years of relevant work experience working with data, statistics, monitoring, evaluation, and evidence-based learning in development contexts.

Required skills and competencies

• Statistics
• Economic principles
• Data Management, includind databases
• Knowledge of relevant software and digital user interfaces
• Programme and Project M&E
• Logframe analysis
• Client relationships

Desired skills in addition to the competencies covered in the Competencies section

• Demonstrated knowledge and experience in advanced statistics / Econometrics software (SPSS, Stata, R, etc );
• Have mastery of Programming software for data management.
• Demonstrated ability/experience in formulating, adapting and manipulating databases
• Basic knowledge and capacity/experience to design data management software

Required Language(s) (at working level)

Portuguese and French or English.

DISCLAIMER 

Female candidacies are strongly encouraged.

Important applicant information

All posts in the SC categories are subject to local recruitment.

Applicant information about UNDP rosters

Note: UNDP reserves the right to select one or more candidates from this vacancy announcement.  We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.

Workforce diversity

UNDP is committed to achieving diversity within its workforce, and encourages all qualified applicants, irrespective of gender, nationality, disabilities, sexual orientation, culture, religious and ethnic backgrounds to apply. All applications will be treated in the strictest confidence. We strongly encourage female candidacies.

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