Job Description & How to Apply Below
Location :
Bangalore-Hybrid
Department/Team :
Modelling, Pattern Recognition and Insights
About the Company :
Kamakhya Analytics is a technology-driven research and consulting organisation helping leaders,
parties, and institutions decode India’s political and policy landscape. We bring together survey
science, data analytics, and strategic insight to answer complex questions about public opinion,
governance, and performance. From ground-level fieldwork to advanced modelling and
interpretation, every project is built for clarity, accuracy, and impact. Our teams manage the
complete research cycle — design, execution, data engineering, and delivery — under a single
framework of discipline, transparency, and speed. Quality and integrity define our work. We apply
rigorous controls in sampling and verification, maintain secure and reproducible data systems, and
communicate results that withstand scrutiny. At Kamakhya, our mission is simple: turn evidence
into strategy and insight into action.
Role Summary :
This role focuses on building automated data workflows and ensuring reliable data management
across systems and pipelines. The candidate will support the organization by improving data
availability, accuracy, and process efficiency through automation.
Key Responsibilities:
1. Design, develop, and maintain automated data workflows, queries, and scheduled processes
to streamline reporting and analytics.
2. Manage data pipelines, data ingestion, and data quality checks to ensure consistent and
reliable data availability.
3. Monitor, troubleshoot, and optimize automated jobs and data processes for performance
and accuracy.
4. Document data flows, automation logic, and data management best practices to support
operational transparency.
5. Collaborate with engineering and analytics teams to enhance data structures, storage, and
governance standards
Skills & Tools:
1. Automation Tools:
Alteryx, Power Automate, workflow schedulers (e.g., Cron, enterprise
job schedulers)
2. Data Management:
Data governance practices, data quality checks, metadata
management, data lineage tracking
3. Productivity & Automation:
Advanced Excel with VBA, macros, automated reporting
workflows, SQL based querying
4. Visualization:
Power BI and Tableau (focus on automated refreshes and dataflows)
5. Operational
Skills:
Process documentation, issue troubleshooting, performance
monitoring, change management
Required/
Minimum Qualifications:
1. Bachelor’s/Master’s in Data Science, Engineering, Economics or other quantitative
fields.
2. 1-3 years of relevant professional working experience.
Soft Skills:
1. Detail orientation
2. Structured thinking
3. Cross-team collaboration
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