Industry Consulting Consultant
Apply now »Date: Jan 16, 2026
Location: Chennai, TN, IN
Company: NTT DATA Services
Job Title - Data Analyst
Number of Positions - 4
Job Location - Resource working at TPRM approved vendor location, Home-based, India, 9999
Job Start Date - 1/19/26
Job End Date - 12/31/26
Job Description -
Job Description
Seeking a Senior Data Analyst who thrives on turning complex data into actionable insights. In this role, you’ll lead the design and implementation of data products on the Microsoft Azure platform, leveraging cutting-edge cloud-native solutions to solve challenging business problems and deliver meaningful outcomes.
What You’ll Do
- Partner with stakeholders to gather requirements and translate them into impactful data solutions.
- Design and optimize data architectures, pipelines, and warehouses to enable scalable analytics.
- Perform deep-dive analysis on large, structured datasets to uncover trends and drive decisions.
- Document data flows and ensure clarity from source to target.
- Collaborate with cross-functional teams to deliver insights that answer critical business questions.
- Communicate findings through clear storytelling, both written and verbal, to technical and non-technical audiences.
- Champion data quality, governance, and security across all solutions.
What you bring
- 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.
Job Segment:
Data Warehouse, Consulting, Database, SQL, Technology