Job Description: Senior Monitoring and Performance Analyst

Project: Primary Healthcare Doorstep Delivery Model (PHC-DSDP)
Location: Islamabad, Pakistan (Office-based with occasional field visits)
Reports To: UIL Team Lead

About the Project

The PHC Doorstep Delivery Model (PHC-DSDP) is an 18-month implementation serving approximately 450,000 people across 64,000+ households in urban slum populations of Karachi and Rawalpindi. The program is a partnership between Urban Impact Laboratory (UIL), Akhter Hameed Khan Foundation (AHKF, implementation partner), and Research and Development Solutions (RADS).

The program deploys 185 Aapis (female community health workers) and 31 Rahbars (male community health workers) to deliver healthcare services across six health conditions: hypertension, diabetes, child malnutrition, immunization, maternal health, and family planning.

Role Overview

The Senior Monitoring and Performance Analyst serves as UIL independent monitoring vertical, acting as the off-ground unbiased reviewer, and third-party monitoring wing for the PHC-DSDP project. This role has direct authority to mandate corrective protocols to the implementation team and halt field operations in case of severe protocol breaches.

This is not a traditional M&E role. We're not looking for someone who produces standard indicator reports and Excel tables. We need a systems thinker who can:

• Design accountability mechanisms that catch issues before they cascade
• Spot patterns in data that others miss and ask "why?" repeatedly
• Build monitoring frameworks that adapt to ground realities, not just measure outputs
• Translate messy field data into actionable intelligence for decision-makers
• Think creatively about what additional data visuals are needed and how they should work

You will analyze multi-layered program data (household registration, follow-up visits, referrals, health outcomes, workforce performance), identify trends and risks, mandate corrective actions, and ensure nothing falls through the cracks across AHKF's 216-person implementation team.

Key Responsibilities

1. Program Monitoring & Accountability (40%)

• Establish and maintain independent monitoring systems for all implementation activities across AHKF's 185 Aapis, 31 Rahbars, cluster leads, M&E officers, and project coordinators
• Monitor the 6-visit daily workflow model, tracking visit completion rates, follow-up intensity (target: 3.49 visits per household per month), and dropout patterns
• Audit data quality on: complete household registration (all family members registered), condition-based follow-ups, referral completion rates (both digital and paper systems), and health outcome data across six conditions
• Monitor triple-loop compliance protocols: automated alerts, cluster lead interventions, and escalation to management
• Track "conversion over coverage" metrics: depth of engagement in registered households vs. reach to new households
• Exercise authority to mandate corrective protocols when performance gaps or protocol violations are identified (e.g., recalibration of follow-up schedules, retraining requirements, workflow adjustments)
• Halt field operations in cases of severe protocol breaches (e.g., systematic data falsification, critical safety violations) until corrective measures are implemented
• Conduct biannual spot-check field visits to Karachi and Rawalpindi to validate data, observe field operations, and ground-truth digital records against ground realities

2. Data Analysis & Insights Generation (35%)

• Analyze weekly, monthly, and quarterly data on visits, targets, referrals, coverage, and health outcomes
• Identify trends, anomalies, and performance patterns across geographic clusters and workforce segments
• Develop analytical frameworks to assess program fidelity, dropout rates, follow-up intensity, and condition-specific outcomes
• Conduct root cause analysis when targets are missed or data quality concerns arise
• Generate actionable insights that inform strategic pivots and operational adjustments

3. Reporting & Visualization (15%)

• Design and maintain program dashboards using Power BI, Tableau, or similar tools
• Produce weekly scorecards highlighting key performance indicators and red flags
• Prepare monthly performance reports for UIL leadership with trend analysis and recommendations
• Lead quarterly deep-dive evaluations synthesizing 3-month performance data
• Support stakeholder reporting requirements for donors, partners, and government entities
• Translate complex data into clear, compelling visualizations that drive accountability

4. System Development & Quality Assurance (10%)

• Design and iterate monitoring frameworks, data collection protocols, and quality assurance mechanisms
• Collaborate with centralized data entry teams to ensure data integrity and timeliness
• Develop standard operating procedures for escalation protocols and corrective action workflows
• Build automated alerts for real-time flagging of critical issues (e.g., sudden drop in visit rates, referral bottlenecks)
• Maintain documentation of all monitoring systems, methodologies, and analytical approaches

Deliverables & Rhythm

Weekly

• Performance scorecard with KPIs across all clusters and workforce segments
• Real-time escalation of critical issues requiring immediate intervention
• Participation in weekly UIL monitoring meetings

Monthly

• Comprehensive performance report with trend analysis, insights, and recommendations
• Data quality audit summary with corrective action tracking
• Updated dashboards reflecting monthly progress against targets

Quarterly

• Deep-dive evaluation report synthesizing 3-month performance data
• Stakeholder-ready reports for donors and partners
• Strategic recommendations for program course corrections

Required Qualifications

Education

• Bachelor's degree in Statistics, Economics, Public Health, Data Science, Development Studies, or related field
• Master's degree preferred but not required

Experience

• Minimum 3 years of experience in monitoring and evaluation, data analysis, program monitoring, or related analytical roles
• Demonstrated experience building monitoring systems or accountability frameworks from scratch
• Experience working with large datasets and conducting quantitative analysis
• Prior work in health programs, social sector, or development projects strongly preferred
• Experience with community health worker programs or field-based implementation is a plus

Technical Skills (Required)

• Advanced Excel: Pivot tables, VLOOKUP, complex formulas, data cleaning
• Data Visualization: Power BI, Tableau, or similar tools - ability to design dashboards and compelling visuals
• Statistical Analysis: Proficiency in R, Stata, or Python for data analysis
• Strong understanding of data quality assurance and validation techniques
• Ability to work with messy, real-world data and troubleshoot inconsistencies

Analytical Skills

• Exceptional problem-solving and critical thinking abilities
• Ability to identify patterns, anomalies, and root causes in complex datasets
• Strategic thinker who can translate data into actionable insights
• Comfortable working with ambiguity and designing solutions independently

Communication & Collaboration

• Excellent written and verbal communication in English and Urdu
• Ability to present complex findings to non-technical audiences
• Strong interpersonal skills to work across UIL, AHKF, and RADS teams
• Comfortable exercising authority and mandating corrective actions when necessary

We ARE looking for:

• Innovative thinker: You go beyond number-crunching, you think creatively about what additional data visuals are needed, how they should work, and what stories the data is telling. You design dashboards that answer "so what?" not just "how many?"
• Systems builder: You don't just execute existing frameworks, you design, iterate, and improve monitoring systems proactively. You see gaps in accountability and build mechanisms to close them.
• Investigative mindset: When you see a 40% drop in Aapi visits in Week 3, you don't just report it, you dig into: Is it across all clusters? Specific conditions? Related to holidays? Staff turnover? You chase root causes relentlessly.
• Detail-oriented: Nothing falls through the cracks on your watch. You catch inconsistencies between digital and paper records, spot outliers that signal data quality issues, and flag risks before they become crises.
• Independent and unbiased: You maintain objectivity and aren't afraid to flag issues, even uncomfortable ones. You call out problems in implementation without sugarcoating.
• Ownership mindset: You take full responsibility for the monitoring vertical and drive it forward autonomously. You don't need hand-holding.
• Comfortable with authority: You're not afraid to mandate corrective protocols or halt operations when necessary. You exercise authority professionally but decisively.

What We Offer

• Opportunity to shape an independent monitoring vertical within a high-impact health program
• Direct decision-making authority and influence over program quality
• Collaborative, mission-driven team environment at UIL
• Exposure to cutting-edge community health delivery models
• Professional development in data analytics, program monitoring, and accountability systems

How to Apply

Please complete the online application form https://rads.surveycto.com/collect/sr_mon_analyst?caseid=

Please upload your CV as part of the application form.