Data Analyst

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