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 Indias 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. Bachelors/Masters 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