Senior Data Analyst with Python

The Role

Were looking for expert in Advanced NetApp L3 level support, CVO ONTAP, ITIL processes (Change Management, Problem Management) and experience in implementing automation. The role requires advanced troubleshooting skills and the ability to optimize NAS systems for high-performance operations.

Office Location: Hyderabad (Work from Office)

Key Responsibilities:

Lead SQL development: Write and maintain complex queries, stored procedures, triggers, functions, and manage views for high-performance data operations.

Database Optimization: Design and implement efficient indexing and partitioning strategies to improve query speed and system performance.

Advanced Python Programming: Use Python to build ETL pipelines, automate data workflows, and conduct data wrangling and analysis.

Data Modeling & Architecture: Develop scalable data models and work closely with engineering to ensure alignment with database design best practices.

Business Insights: Translate large and complex datasets into clear, actionable insights to support strategic business decisions.

Cross-functional Collaboration: Partner with product, tech, and business stakeholders to gather requirements and deliver analytics solutions.

Mentorship & Review: Guide junior analysts and ensure adherence to coding standards, data quality, and best practices.

Visualization & Reporting: Create dashboards and reports using tools like Power BI, Tableau, or Python-based libraries (e.g., Plotly, Matplotlib).

Agile & Version Control: Operate in Agile environments with proficiency in Git, JIRA, and continuous integration for data workflows.