In A Nutshell
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
