M&E Associate (Rapid Experimentation)

Tasks

• Analyze experimental results
• Conduct power calculations
• Create learning products
• Document experiments for reuse
• Ensure accurate measurement
• Execute A/B tests
• Identify data quality risks
• Interpret causal effects
• Manage experiment design
• Prepare clean datasets
• Prepare deidentified datasets for sharing
• Review experiment plans before launch
• Set up experimental groups
• Translate findings into recommendations

Perks/Benefits

• Flexible work environment
• Professional growth opportunities
• Travel opportunities

Skills/Tech-stack

A/B | A/B Testing | Administrative Data | B testing | Bias Assessment | Causal Inference | Data Manipulation | Data Quality | Data cleaning | Data quality analysis | Dataset Preparation | Experimental Design | Python | Quality analysis | R | Randomization | Stata | Statistical Power | Survey data