Data Modeler Analyst (Azure)

Indore, Madhya Prades, India, India
Full Time
Experienced
We’re Hiring: Seneior Data Analyst / Data Modler

At Ccube, we are expanding our analytics team and looking for a passionate Data Analyst / Data Modeler who enjoys transforming complex data into meaningful insights that drive business decisions.

Role: Senior Data Analyst / Data Modeler
Location: Indore, Madhya Pradesh
Employment Type: Full-time

Experience: 5+ Years



 Key Responsibilities
• Work in an Agile environment collaborating with business teams and project stakeholders
• Act as a Subject Matter Expert for data integration and transformation initiatives
• Translate business requirements into technical data and reporting solutions
• Design and maintain data models and data pipelines
• Map data sources, data movement, and interfaces ensuring data quality and reusability
• Identify trends and insights from complex datasets to support data-driven decisions
• Support data migration initiatives to Azure Cloud
• Build and maintain analytical datasets for reporting and insights
• Identify opportunities for process improvement and automation

 Required Skills & Qualifications
• 5+ years experience working with large structured and unstructured datasets
• Strong SQL skills and experience with RDBMS & Data Lake concepts
• Hands-on experience with SQL Server, Azure Synapse, Azure Data Lake, and PostgreSQL
• Strong understanding of data warehousing architecture and BI methodologies
• Experience with data modeling, database design, and data mining techniques
• Knowledge of Python, SQL, or Scala for data processing
• Strong analytical thinking and problem-solving skills

Nice to Have
• Experience in the Finance domain
• Knowledge of Machine Learning or AI concepts

 What We’re Looking For
• Strong communicator who can work with both technical and non-technical teams
• Detail-oriented and analytical thinker
• Self-starter who thrives in a fast-paced environment
• Team player with strong collaboration skills

📩 Interested candidates can apply or share their profiles with us at "[email protected]"
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