Country: ESWATINIDescription of the Assignment: The overall objective of this assignment is to provide advanced data analytics and visualization support for the establishment of the Job Creation Observatory, using targeted employment data and the recently completed MEPD database, to generate actionable labour market insights that inform policy formulation, implementation, and monitoring. SCOPE OF WORK(S)PAYE-Based Job Surveillance and Analytics: The Consultant will collaborate with the Eswatini Revenue Service to analyse employment/tax data to track job creation and job losses by sector, industry, region, and earnings levels, generating timely insights to inform policies that promote job creation and prevent job losses.Operationalization of the MEPD Database: The Consultant will operationalize the MEPD database as the central repository for job surveillance data, ensuring systematic storage, regular updates, and support for time‑series employment analysis. Job Creation Observatory Dashboard: The Consultant will develop and maintain a Job Creation Observatory dashboard linked to the MEPD database, providing near real‑time visualization of employment trends, job creation, job losses, and earnings patterns for policymakers. Policy Analysis and Knowledge Transfer: The Consultant will translate data analysis into policy‑relevant insights and support capacity building within MEPD to ensure sustainable operation of the job surveillance system and dashboard.EXPECTED DELIVERABLESUnder the overall guidance of MEPD and UNDP, and in close collaboration with ERS, the Individual Consultant will be responsible for the following: PAYE Data Analytics and Job Surveillance - Collaborate closely with Eswatini Revenue Service (ERS) to access, clean, structure, and analyse PAYE datasets in line with agreed data governance protocols.Develop analytical frameworks to track and monitor: Number of jobs created and lost over time; Job creation and losses by sector, industry, region, and firm size (subject to data availability); Median, average, high, and low earnings by sector and industry;Employment concentration and vulnerability across sectors.Conduct trend and comparative analysis to identify sectors with:High job creation potential;Declining employment (job haemorrhage); and Wage compression or inequality patterns.Generate policy-relevant insights linking employment trends to macroeconomic and sectoral dynamics. Conduct time-series, trend, and comparative analysis to identify:o   ✓ Sectors and industries with strong employment generation potential; o   ✓ Early warning signals of job haemorrhage; and o   ✓ Wage and earnings dynamics relevant for inclusive growth.        Generate policy-relevant insights to support evidence-based decision-making aimed at promoting job creation and preventing job losses through timely policy enactment.Development of the Job Creation Observatory Dashboard       Lead the utilization of the MEPD database to design and develop a dynamic, userfriendly dashboard for the Job Creation Observatory.         Ensure the dashboard supports near real-time visualization of key labour market indicators, including: o   ✓ Jobs created and lost (monthly/annual);              o   ✓ Sectoral and industry-level employment trends; o   ✓ Earnings distribution and wage bands; ✓ Regional employment patterns.nsure the dashboard is modular and adaptable for potential expansion to other SDG and economic indicators beyond job creation·        Work closely with MEPD technical teams to ensure sustainability, usability, and knowledge transfer. Policy Support and Knowledge Products        Translate complex data analytics into clear, policy-oriented narratives for decisionmakers.         Produce analytical briefs, technical notes, and presentations for policymakers, the proposed Job Surveillance / Reference Group, and development partners.         Support the establishment of a sentinel job surveillance approach, explicitly recognizing data coverage limitations and proposing practical enhancements over time.         Facilitate knowledge transfer to relevant MEPD technical staff to ensure sustainability of the database, dashboard, and analytical processes beyond the consultancy.         Produce periodic analytical briefs, technical notes, and presentations for: o   ✓ Policymakers; o   ✓ The proposed Job Surveillance / Reference Group; and o   ✓ Development partners.         Contribute to the establishment of a sentinel job surveillance approach, recognizing data coverage gaps and recommending improvements over time. Operationalization of the MEPD Database for Job Surveillance         Lead the operationalization of the recently completed MEPD database as the central repository for job surveillance and employment-related data.         Configure and structure the database to        Store tax-linked job creation and job loss datasets in a secure, systematic, and regularly updated manner;         Support historical data retention, time-series analysis, and interoperability with other SDG and economic indicators;         Ensure data integrity, version control, and clear documentation of data sources and methodologies.         Establish clear data workflows linking ERS, MEPD, UNDP and the Job Creation Observatory to enable timely ingestion, updating, and validation of employment data. The ideal candidate should meet or exceed the belowe requirements;An Advanced university degree (Master’s level or higher) in Economics, Development Studies, Statistics, Data Science, Applied Mathematics, Econometrics, or a closely related field.Strong technical skills in data analysis, statistical modelling, and data visualization, including the use of modern analytical and dashboard tools (e.g. Power BI, Tableau, Python/R, SQL, or similar). Demonstrated ability to work with large administrative datasets, ensuring data quality, confidentiality, and integrity. Strong written and verbal communication skills, with the ability to translate complex technical analysis into clear, policy‑relevant insights for senior decision‑makers.At least five (5) years of relevant professional experience in data analytics, economic analysis, labour market analysis, or related fields. Proven experience working with government institutions, public sector data systems, or development partners in data‑driven policy support. Experience supporting evidence‑based decision‑making through the production of analytical reports, dashboards, or policy briefs. Demonstrated ability to work collaboratively with multiple stakeholders and technical teams in a structured policy environment.Demonstrated experience analysing employment, labour market, wage, or earnings data, including job creation and job losses by sector or industry.Strong experience in designing, developing, and maintaining data dashboards linked to structured databases, with an emphasis on timely publication and usability. Prior experience working with tax, PAYE, social security, or administrative data is a strong advantage.Experience operationalizing databases or data repositories for monitoring, surveillance, or SDG-related indicators, including establishing data workflows and documentation.Familiarity with policy planning, SDG monitoring, or national development frameworks will be an added assetPeriod of assignment/services: 06 Months spread over 12 months Proposal should be submitted directly in the portal no later than indicated deadline.Any request for clarification must be sent in writing via messaging functionality in the portal. UNDP will respond in writing including an explanation of the query without identifying the source of inquiry.http://supplier.quantum.partneragencies.org using the profile you may have in the portal. In case you have never registered before, you can register a profile using the registration link shared via the procurement notice and following the instructions in guides available in UNDP website: https://www.undp.org/procurement/business/resources-for-bidders.  Do not create a new profile if you already have one. Use the forgotten password feature in case you do not remember the password or the username from previous registration.