SENIOR DATA ANALYST Summary We are seeking an experienced Senior Data Analyst within the IT Services sector to drive data-driven decision-making and strategic insights. In this pivotal role, you will leverage advanced analytical techniques and robust data modeling to transform complex datasets into actionable business intelligence. The position demands a professional who can navigate large-scale data environments, utilizing modern architectures to ensure data integrity and accessibility. Your expertise will be instrumental in shaping reporting strategies, optimizing data pipelines, and delivering high-impact visualizations that guide organizational growth and operational efficiency. Responsibilities
• Design, develop, and maintain comprehensive data models and architectures, specifically implementing Medallion Architecture patterns (Bronze, Silver, Gold layers) to ensure data quality and scalability.
• Create dynamic, interactive dashboards and reports using leading visualization tools such as Power BI or Tableau to communicate key performance indicators and trends to stakeholders.
• Perform deep-dive data analysis and reporting to identify patterns, anomalies, and opportunities for business improvement.
• Write and optimize complex SQL queries to extract, transform,



and load data from diverse sources, including cloud data warehouses like Snowflake.
• Develop and execute Python scripts to automate data processing workflows, enhance analytical capabilities, and handle large-scale data manipulation tasks.
• Collaborate with cross-functional teams to define data requirements and translate business needs into technical specifications. Requirements

Requirements:
• Minimum of 6 years of qualified experience in data analysis, data engineering, or a related field within the IT Services industry.
• Proven proficiency in data visualization platforms, specifically Power BI or Tableau, with a strong portfolio of dashboard creation.
• Advanced command of Python for data manipulation, analysis, and automation.
• Extensive experience with SQL for querying databases and performing complex data transformations.
• Deep understanding of data modeling principles and practical experience implementing Medallion Architecture concepts.
• Hands-on experience working with Snowflake or similar cloud-based data warehousing solutions.
• Strong analytical mindset with the ability to interpret complex data sets and derive meaningful insights.

📌 SENIOR DATA ANALYST (Hyderabad)
🏢 Vrinda International
📍 Hyderabad