Monitoring & Evaluation Data Analysts at AMO Farm Sieberer Hatchery Limited (Lagos & Oyo)

Job Title:
Monitoring & Evaluation Data Analysts at AMO Farm Sieberer Hatchery Limited (Lagos & Oyo)
Salary:
0

Travel Requirements
Some travel
Educational Specialization
Business
Work Options
On-site
Company Size
201-500 employees
Experience Level
Mid-Level
Educational Level
Bachelor's degree
Skills
Data Analysis, Monitoring & Evaluation, Excel, Power BI, SPSS, Database Management, Report Writing, Communication
Job Type
Full-time

Never Miss a Job Update Again. We have started building our professional LinkedIn page. Company: Location: NigeriaState: Job type: Full - Time Job category: Amo Farm Sieberer Hatchery Limited has a Vision to be the market leader in the Day Old Chicks market; through exceptional quality products and services that will guarantee profitable poultry farming. The Company produces high - quality Day - Old Chicks and Point of Cage Pullets. Over the years, we have remained focused on our main objective to produce high quality chicks, in a highly hygienic environment leveraging innovative solutions grounded in Research and Development.We Are Recruiting To Fill The Position BelowJob Title: Monitoring & Evaluation Data AnalystLocations: Lagos and OyoEmployment Type: Full - timeJob PurposeTo support the monitoring, evaluation, and learning functions of the Pastoralist Program by collecting, analyzing, and interpreting field data from pastoralist operations.The M&E Data Analyst ensures that accurate, timely, and relevant information is available to measure program performance, assess impact, and guide management decisions toward improving pastoralist engagement, livestock productivity, and livelihood outcomes.Roles And ResponsibilitiesData Collection and Management:Develop and maintain data collection tools, templates, and databases for all pastoralist program activities.Collect and verify data from field reports submitted by Pastoralist Support Representatives, Area Managers, and Gender Officers.Ensure data quality through regular validation, cleaning, and consistency checks.Maintain an organized digital database for easy retrieval and analysis of program data.Monitoring And EvaluationTrack key performance indicators (KPIs) for livestock buy - back, fodder distribution, farmer training, gender inclusion, and community engagement.Support field teams in implementing M&E frameworks and ensuring compliance with reporting standards.Conduct routine data audits and provide feedback to improve data accuracy and completeness.Assist in evaluating program effectiveness and identifying lessons learned.Data Analysis And ReportingAnalyze quantitative and qualitative data to generate insights on program trends and outcomes.Prepare periodic performance dashboards and visual reports for management and donor use.Provide evidence - based recommendations for program improvement.Support the preparation of quarterly and annual M&E reports summarizing field performance and impact.Capacity Building And SupportTrain field staff on proper data collection, reporting, and use of M&E tools.Provide technical assistance in using digital reporting systems and mobile data applications.Promote a culture of evidence - based decision - making within the department.Collaboration And CoordinationWork closely with the Gender Specialist, Pastoralist Managers, Forage Managers, and Finance team to align data systems.Liaise with other departments to harmonize M&E efforts and integrate pastoralist data into company - wide performance systems.Support external evaluations, surveys, and baseline/midline/endline studies as required.Key Performance Indicators (KPIs)Timeliness and accuracy of data collected and submittedQuality and completeness of reports generatedNumber of M&E tools and dashboards developed or improvedFrequency and quality of feedback provided to field teamsLevel of management satisfaction with data - driven insights.Qualifications And ExperienceBachelor’s Degree in Statistics, Economics, Agricultural Economics, Development Studies, or related field3–5 years of experience in Monitoring & Evaluation or Data Analysis (preferably within agricultural or community development programs)Strong proficiency in Excel, Power BI, SPSS, or similar data analysis softwareExperience managing databases and digital data collection platforms (e.g., KoboToolbox, ODK, SurveyCTO)Understanding of pastoralist or livestock systems is an advantage.Skills And CompetenciesStrong analytical and statistical skillsAttention to detail and accuracyData visualization and presentation abilityKnowledge of M&E frameworks and indicatorsExcellent report writing and communication skillsProblem - solving and critical thinking ability.Application Closing Date31st December, 2025.Don't Keep! Kindly Share:

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