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The Senior Data Analyst role at NTT DATA requires over 8 years of experience in data analysis, with a strong focus on SQL and Python. The candidate will work closely with engineering and data science teams to drive business outcomes through data insights. Familiarity with Azure, Spark, and containerization technologies is essential. Excellent communication skills are necessary for translating technical insights into business value.
Job Responsibility:
Play a key role across the end-to-end data lifecycle
Translate complex data insights into meaningful business outcomes
Work closely with engineering, data science, and business stakeholders to enable scalable analytics and support AI/ML initiatives
Requirements:
Experience across the data pipeline: acquisition, preparation, and architecture
Strong proficiency in SQL and Python for data analysis and automation
Hands-on experience with Azure services, including deployment automation (PowerShell/Azure CLI)
Familiarity with modern data tools: Spark, Databricks, Hadoop, Kafka, and data warehousing
Exposure to real-time data streaming and containerization (Docker, Kubernetes)
Understanding of data engineering principles supporting AI/ML initiatives
Experience with Agile practices and collaborative team environments
Excellent communication skills and ability to translate technical insights into business value