Learning & Development Associate - LUMS Centre for Entrepreneurship

About the role

The Learning & Development Associate supports the planning, implementation, monitoring and evaluation of projects and programmes at the LUMS Centre for Entrepreneurship. The role calls for strong analytical, organisational and reporting skills so that project activities run efficiently, deliverables are met on time and progress is accurately recorded. It is a full-time position based in Lahore, reporting to the Learning & Development Programs Lead.

Key responsibilities

• Track project activities, milestones, deliverables and timelines against approved work plans, coordinate with teams to follow up on pending items and maintain consolidated project trackers.
• Maintain project databases, track KPIs, targets and achievements, analyse project data and support monitoring and evaluation by documenting findings, challenges and outcomes.
• Prepare periodic project progress reports, data summaries and management updates, and develop Excel-based trackers, dashboards and reporting templates.
• Maintain project records, meeting minutes and supporting documentation.
• Coordinate with project teams and stakeholders, follow up on deliverables and reporting requirements, and help organise meetings, evaluation panels and workshops.

Required profile

• Bachelor's degree in Business Administration, Project Management, Economics, Statistics or a related field.
• 1-3 years of experience in project coordination, monitoring and evaluation, data analysis or reporting.
• Preferred: experience in monitoring and evaluation, KPI tracking and project reporting, and familiarity with entrepreneurship support programmes, accelerators or development projects.

Required skills

• Advanced Microsoft Excel, including complex formulas, PivotTables, data analysis, dashboards and automated reporting.
• Strong Microsoft Word for report writing and documentation.
• Preferred: Power Query, Power BI or other data visualisation tools.
• Analytical skills, attention to detail, and ability to manage large datasets.

To apply, send your CV and a one-page cover letter by 13 November 2026.