Customertimes
Website:
customertimes.com
Job details:
Role Overview:
Location: Bangalore, India
Engagement Type: Contract
Work mode: WFO
Experience: 5 - 15 years
Seniority: Mid–Senior
Start Date: Immediate
We are seeking a Data Analyst / Data Modeler to support a major enterprise data transformation program — the Data Integration Hub (DIH). The role sits within the Data Architecture & Engineering function and is responsible for delivering clean, reconciled, and business-ready data.
Key Responsibilities
- Analyze complex datasets to understand structures, relationships, and data quality issues.
- Define source-to-target mappings and detailed transformation logic.
- Develop and maintain conceptual, logical, and physical data models.
- Translate requirements into clear pseudo-logic and implementation-ready specifications.
- Perform data reconciliation and variance analysis between legacy and new platforms.
- Identify and resolve data issues via structured root cause analysis.
- Support testing and validation during key delivery and go-live phases.
- Collaborate closely with Data Engineers, Architects, and business stakeholders.
Required Skills & Experience
- Strong experience in data modeling (conceptual, logical, physical).
- Proven data analysis and source-to-target mapping capability.
- Advanced SQL for profiling, validation, and complex queries.
- Experience defining transformation logic / pseudo-code for data pipelines.
- Solid understanding of data warehousing and ETL/ELT processes.
- Strong problem-solving and data debugging mindset.
- Experience in complex, multi-system data environments.
- Knowledge of PySpark / SparkSQL is advantageous.
What We're Looking For
- A hands-on, detail-oriented data specialist who thrives in complex environments.
- Someone who can bridge business and engineering with clarity and structure.
- Strong communicator, comfortable working with distributed and cross-functional teams.
- Background in data reconciliation, data quality, and governance-driven programs highly desirable.
Interested candidates can send email to reshma.ponnamma@customertimes.com
Click on Apply to know more.