Senior Data Analyst - ETL/Python

Key Responsibilities :

- Extract, clean, and analyze large datasets using advanced SQL queries and other analytical tools.

- Design and perform ETL (Extract, Transform, Load) operations from diverse data sources, including databases, APIs, and flat files such as Excel or CSV.

- Develop, automate, and maintain dashboards and visual reports to monitor KPIs, performance metrics, and business trends.

- Translate complex datasets and findings into actionable insights, narratives, and strategic recommendations for stakeholders.

- Collaborate closely with cross-functional teams - Product, Marketing, Finance, and Operations - to support data-driven initiatives.

- Conduct ad-hoc data analysis to identify trends, diagnose issues, and provide data-backed solutions to business problems.

- Identify and implement opportunities for process improvement and automation within the analytics workflow.

- Ensure data accuracy, consistency, and reliability across reporting systems and analytical outputs.

Must-Have Skills :

- Strong proficiency in Advanced SQL for complex data extraction, joins, aggregations, and performance optimization.

- Hands-on experience with ETL processes and integrating data from multiple sources.

- Proven experience in building and maintaining dashboards and data visualizations using tools like Power BI, Tableau, or Looker.

- Solid understanding of data modeling, business metrics, and KPI frameworks.

- Strong analytical, problem-solving, and critical-thinking skills with attention to detail.

- Excellent communication and presentation skills - able to translate technical findings into clear business recommendations