Senior Associate - Reporting, Data and Analytics Acumen East Or West Africa at Acumen in Nairobi, Kenya

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    Senior Associate - Reporting, Data and Analytics Acumen East Or West Africa

    AcumenNairobi, Kenya

    Posted

    1 week ago

    Apply by

    26 Aug

    Full Time
    On Site
    Senior
    Charity, NGO & Non-Profit
    Data, Analytics & AI

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    Job Description

    As the Senior Associate: Reporting, Data and Analytics, you will support the Impact Manager in strengthening how Green Rise Africa collects, manages, analyses, visualises, and reports programme data across all pillars. The role will serve as a link between the Impact/MEL team, programme teams, partners, and systems and technology functions. It will be central to ensuring that Green Rise Africa can track progress toward its ambitious 2030 targets, including reaching 443,200 young people, in dignified and fulfilling green work. The Senior Associate will play a hands-on role in maintaining MEL data systems, supporting partner reporting, producing routine reports and dashboards, strengthening data quality assurance processes, and generating insights to inform programme decision-making.

    Key Responsibilities

    • Support the development and implementation of quarterly, biannual, and annual reporting processes across Green Rise Africa pillars.
    • Produce routine reports against programme indicators, KPIs, targets, and disaggregations, including actuals versus targets.
    • Build and maintain dashboards in Salesforce, Power BI, or equivalent platforms to provide up-to-date performance views for programme and leadership teams.
    • Develop clear infographics and data visualisations to communicate programme results to technical and non-technical audiences.
    • Respond to ad hoc data requests from internal teams, partners, and external stakeholders, including the Mastercard Foundation.
    • Work closely with Finance to support the integration and quality assurance of financial and impact data, including for Impact Linked Finance reporting.
    • Oversee programme indicator data flows, ensuring data submissions are complete, accurate, and received on time across reporting periods.
    • Manage partner data submissions through mobile and online collection tools such as KoBoToolbox, Airtable, Salesforce, or equivalent platforms.
    • Consolidate data from multiple partners, countries, and programme pillars into master datasets and reporting tools on a routine basis.
    • Maintain and update indicator tracking sheets and reporting templates in line with programme targets.
    • Conduct quantitative analysis of programme datasets to identify trends, gaps, risks, performance issues, and areas of strong progress.
    • Run descriptive and diagnostic analyses disaggregated by gender, age, geography, country, sector, pillar, and partner.
    • Support the Impact Manager to translate data into insights that inform programme learning, adaptation, and decision-making.
    • Prepare clean, well-documented datasets for internal reviews, external evaluations, and donor reporting.
    • Contribute to Value for Money, benefit-cost, SROI, or Impact Linked Finance analyses as required.
    • Support the implementation, configuration, and maintenance of MEL data systems, including Salesforce, Power BI, Airtable, KoBoToolbox, or equivalent tools.
    • Ensure data collection, management, analysis, and reporting systems are aligned with the programme MEL framework and indicator requirements.
    • Support the development and maintenance of technology-enabled tools that improve data collection, reporting, analysis, and learning.
    • Advise on technology and AI-enabled solutions that can improve MEL workflows, reporting efficiency, data quality, and learning.
    • Develop and apply standardised data validation rules, quality checklists, and data cleaning protocols.
    • Review incoming datasets to identify duplicates, outliers, missing values, logical inconsistencies, and other data quality concerns.
    • Maintain clear documentation and audit trails for data cleaning, validation, and changes to source data.

    Required Qualifications

    • Candidates must demonstrate at least five years of relevant experience, including:
    • Practical, hands-on experience in monitoring, evaluation, learning, data management, and reporting in an international development context.
    • Experience managing programme data flows across multiple partners, countries, or programme workstreams, including partner submissions, data cleaning, consolidation, validation, and reporting.
    • Experience producing routine MEL reports, including reporting against indicators, KPIs, targets, and actuals versus targets.
    • Strong skills in data cleaning, data quality assurance, validation, documentation, and audit trail management.
    • Experience analysing programme data and producing insights for decision-making.
    • Strong proficiency in data analysis and visualisation tools such as Excel, Power BI, SPSS, Stata, R, Python, or equivalent.
    • Experience working with MEL databases and digital data collection systems such as Salesforce, Airtable, KoBoToolbox, CommCare, SurveyCTO, or equivalent.
    • Experience building or maintaining dashboards, reporting tools, databases, or other technology products that support MEL.
    • Experience advising teams or partner organisations on data management, reporting, and data quality best practices.
    • Working knowledge of data consent, use, retention, protection, and security requirements.
    • Proven attention to detail and a systematic approach to managing complex datasets.
    • Ability to communicate data clearly to both technical and non-technical audiences.
    • Ability to work across teams in a matrix-managed, multi-country programme environment.
    • Desirable Criteria:
    • Formal training in monitoring and evaluation, data analysis, statistics, information systems, project evaluation, or a related field.
    • Experience working on youth employment, gender inclusion, climate, green growth, enterprise development, or private sector development programmes.
    • Experience with Impact Linked Finance, Value for Money, SROI, cost-benefit analysis, or similar.

    Job Details

    Job Function

    Data, Analytics & AI

    Minimum Experience

    5 years

    Education Level

    Bachelor’s Degree

    Area of Study

    Data Science

    Field of Study

    Monitoring and Evaluation

    Languages

    English

    Additional Information

    How to Apply: Send your application to careers@acumen.org or visit the application link provided on this page to submit your application.

    Show Your MEL Data Story

    This role lives at the intersection of data, impact, and technology. Hiring managers will be looking for proof that you can turn messy partner submissions into clean, decision-ready dashboards and reports.

    1. Lead with your MEL toolkit: On your CV, list the exact tools you've used—Power BI, Salesforce, KoBoToolbox, R, Python—and give one concrete example of a dashboard or report you built. For instance, mention a time you automated a quarterly report that saved your team days of work.

    2. Show your data quality discipline: Describe a specific situation where you caught a data quality issue—like duplicate records or missing values—and how you resolved it. Hiring managers want to see that you have a systematic approach to validation and cleaning.

    3. Quantify your impact: Use numbers to show the scale of data you've managed. For example, 'Consolidated data from 20 partners across 5 countries, ensuring 98% data completeness for donor reporting.'

    4. Prepare a portfolio of your work: Bring screenshots or a link to dashboards, infographics, or reports you've created. Be ready to walk through how you chose the visuals and what insights you derived.

    5. Practice explaining data to non-technical audiences: You'll need to communicate results to programme teams and partners. Prepare a short, jargon-free explanation of a complex analysis you've done, focusing on the 'so what' for the programme.

    6. Understand the international development context: Be ready to discuss how MEL differs in multi-country, multi-partner settings. Mention any experience with donor reporting (e.g., Mastercard Foundation) and compliance requirements.

    7. Show your interest in AI and technology: The posting mentions a growing interest in AI-powered solutions. Talk about any courses, projects, or experiments you've done with AI for data analysis or reporting—even if it's just a side project.

    8. Ask smart questions about the role: Prepare questions that show you've thought deeply about the challenges, like 'How do you currently handle data quality across partners?' or 'What are the biggest reporting bottlenecks you face?' This shows you're already thinking like a problem-solver.

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    Tags

    MEL
    data analysis
    Power BI
    Salesforce
    KoBoToolbox