Act as the critical bridge between backend data systems, measurement and research frameworks, and organisational decision-making.

Responsibilities

Deliver analytics strategy and roadmap

• 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

Build and own analytics systems

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

Bridge SQL and social research thinking

• 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

Operate under ambiguity

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

Strengthen data architecture

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

Lead cross-functional analytics

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

Build and manage analytics function

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

Skillset

• 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

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