Data Analyst

Location: Bangalore-HybridDepartment/Team: Modelling, Pattern Recognition and InsightsAbout 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 surveyscience, data analytics, and strategic insight to answer complex questions about public opinion,governance, and performance. From ground-level fieldwork to advanced modelling andinterpretation, every project is built for clarity, accuracy, and impact. Our teams manage thecomplete research cycle — design, execution, data engineering, and delivery — under a singleframework of discipline, transparency, and speed. Quality and integrity define our work. We applyrigorous controls in sampling and verification, maintain secure and reproducible data systems, andcommunicate results that withstand scrutiny. At Kamakhya, our mission is simple: turn evidenceinto strategy and insight into action.Role Summary:This role focuses on building automated data workflows and ensuring reliable data managementacross systems and pipelines. The candidate will support the organization by improving dataavailability, accuracy, and process efficiency through automation.Key Responsibilities:1. Design, develop, and maintain automated data workflows, queries, and scheduled processesto streamline reporting and analytics.2. Manage data pipelines, data ingestion, and data quality checks to ensure consistent andreliable data availability.3. Monitor, troubleshoot, and optimize automated jobs and data processes for performanceand accuracy.4. Document data flows, automation logic, and data management best practices to supportoperational transparency.5. Collaborate with engineering and analytics teams to enhance data structures, storage, andgovernance standardsSkills & Tools:1. Automation Tools: Alteryx, Power Automate, workflow schedulers (e.g., Cron, enterprisejob schedulers)2. Data Management: Data governance practices, data quality checks, metadatamanagement, data lineage tracking3. Productivity & Automation: Advanced Excel with VBA, macros, automated reportingworkflows, SQL based querying4. Visualization: Power BI and Tableau (focus on automated refreshes and dataflows)5. Operational Skills: Process documentation, issue troubleshooting, performancemonitoring, change managementRequired/Minimum Qualifications:1. Bachelor’s/Master’s in Data Science, Engineering, Economics or other quantitativefields.2. 1-3 years of relevant professional working experience.Soft Skills:1. Detail orientation2. Structured thinking3. Cross-team collaboration

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