Analytics Lead - Data, Measurement & Impact

Karya· Bengaluru· greenhouse· offentliggjort 11.05.2026
Skal:BackendQA/TestAILeadRemoteHybrid

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.

Core Responsibilities

  1. 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

  1. Build and own analytics systems

Design automated monitoring pipelines (SQL, Metabase, backend integration)

Develop reusable data models

Ensure outputs are scalable and decision-oriented

  1. 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

  1. Operate under ambiguity

Convert vague questions into structured hypotheses and analyses

Proactively identify key questions for the organisation

  1. Strengthen data architecture

Collaborate with Tech on schema design and data quality

Reduce manual data cleaning

  1. Lead cross-functional analytics

Partner with Ops and Research teams

Communicate insights to non-technical stakeholders

  1. Build and manage analytics function

Mentor analysts

Set standards for SQL, QA, and documentation

Create scalable analytics systems

Who You Are

Must-have

3–6 years experience in analytics/data/applied research

Strong SQL skills

Experience with messy, real-world datasets

Ability to structure ambiguous problems

Strong differentiators

Experience in organisations at the intersection of tech and social good

Exposure to impact measurement and surveys

Experience building analytics systems

Mindset

Comfortable with ambiguity

Curious about data systems and human outcomes

Balances rigour with pragmatism

What We Offer

Flexible leave and vacation policy

Remote / hybrid work options

Insurance as per industry standards

Access to leaders in technology and social impact

Meaningful work at the intersection of AI, design, and equity

Karya celebrates diversity and is an equal opportunity employer. All applicants will be considered without regard to race, religion, gender identity, sexual orientation, disability, or any other protected status.