Analytics Lead - Data, Measurement & Impact

Karya’s mission is to leverage the AI revolution to create dignified earning and learning opportunities for low-income communities across the world. In India, our smartphone-based digital work platform has enabled over 120,000 people to build language datasets and evaluate AI models while earning fair wages. With pilots in Kenya and Ethiopia and partnerships with leading AI labs, we are advancing language technologies for underrepresented communities. By combining dignified digital work with frontier AI innovation, Karya hopes to build a new AI economy that is equitable, inclusive, and community driven.

This role delivers the end-to-end analytics and measurement function at Karya within the MERL team. The Lead will act as the critical bridge between backend data systems, measurement and research frameworks, and organisational decision-making. This is a builder role under ambiguity.

• Work with R&I (Research & Impact) leadership to iteratively define what Karya should measure across earnings, engagement, productivity, and impact. The two critical areas for automated pipelines will be
• Worker Impact and Well Being
• Engagement and Quality by Type of Tasks, Projects and Metrics to Strengthen Re-engagement
• Build an analytics roadmap aligned with organisational priorities, as per existing reporting mandates
• Shift from ad-hoc analysis to systematic decision-making

• Design automated monitoring pipelines (SQL, Metabase, backend integration)
• Develop reusable data models
• Ensure outputs are scalable and decision-oriented

• Translate research questions into SQL logic and measurable indicators
• Work on worker measurement, noisy data, and integration of disparate data sources.
• Ensure outputs are technically robust and methodologically sound

• Convert vague questions into structured hypotheses and analyses
• Proactively identify key questions for the organisation

• Collaborate with Tech on schema design and data quality
• Reduce manual data cleaning

• Partner with Ops and Research teams
• Communicate insights to non-technical stakeholders

• Mentor analysts
• Set standards for SQL, QA, and documentation
• Create scalable analytics systems

• 3–6 years experience in analytics/data/applied research
• Strong SQL skills
• Experience with messy, real-world datasets
• Ability to structure ambiguous problems

• Experience in organisations at the intersection of tech and social good
• Exposure to impact measurement and surveys
• Experience building analytics systems

• Comfortable with ambiguity
• Curious about data systems and human outcomes
• Balances rigour with pragmatism