M&E Manager

No detailed description provided.

• Serve as the technical backbone for the Annual Member Survey, working in close partnership with the Learning Manager who leads the overall process; responsibilities include survey instrument development, data collection coordination, data cleaning, and quantitative analysis • Own NEAR’s post-event survey portfolio and on-demand survey management, with responsibility for instrument design, data collection, and data analysis – coordinating with the Learning Manager on the broader learning process design • Produce accessible data summaries and visualizations for internal use and learning processes • Work closely with the Membership Team to ensure survey data informs member engagement strategy • Maintain NEAR’s indicator framework and results tracking systems across programs and initiatives • Support program teams in tracking progress against workplan objectives and donor commitments • Conduct and maintain an ongoing indicator and data audit to ensure the indicator set remains fit for purpose • Flag data gaps, quality issues, or misalignment proactively • Contribute to NEAR’s Annual Report, including evidence of NEAR’s collective impact • Strong quantitative data analysis skills, including data cleaning, statistical summarisation, and cross-tabulation across large datasets, combined with solid MEL foundations in indicator design and results framework development • Strong survey methodology experience – design, administration, analysis, and synthesis across multiple instrument types, with particular proficiency in web based member or stakeholder survey platforms such as SurveyMonkey, or equivalent • Experience maintaining indicator frameworks across multiple concurrent donor-funded programmes, including conducting data quality audits and tracking progress against targets over time • Ability to produce clear data visualisations and dashboards for non-technical leadership and donor audiences • Proficiency in Asana or a comparable project management platform • Strong data organisation, documentation, and data management habits, including experience developing and maintaining data management protocols and MEL system documentation