Sr Business Analyst (Data Transformation)
Wipro
- Location
- MOUNT LAUREL, USA-NJ, USA, 8054<br/>
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 906 approvals (FY2023)
- Posted
- 239d ago
About this role
Job Description
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Job Title
Sr Business Analyst (Data Transformation)
City
MOUNT LAUREL
State/Province
New Jersey
Posting Start Date
12/12/25
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Work Location: Mt Laurel, NJ (Hybrid) Job Description:
Collaborate with business stakeholders in conducting gap assessments, maps and gaps, impact assessment Work with various business streams to execute discovery due diligence, planning and executing roadmap for 12-24 months Review of reporting Process, flows, Policies, standards, Procedures, business process, CDEs, Lineage Work with business LOBs to differentiate between regulatory and non-regulatory data Map and gap of reporting field level data from source to target Collectively obtain approval from business and technical stake holder on design and execution Review and opine on data quality controls, data dictionary, data management standards Bring in operational efficiencies in the Reporting process for cohort fields of data reported from Risk, Regulatory and Financial filings in scope Prioritization and execution of requirements from business – Must haves and Should have Drive the testing of the data for, oversee reconciliation, Oversee and provide leading practices in phase-wise migration of the data. Hold Workshop with business & Tech