Sr. Business Analyst Data Analys

Hello There

My name is Himanshu Sharma and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Sr. Business Analyst / Data Analyst with our esteemed client. If you are interested then please share your updated resume at .

Job Description

Position : Sr. Business Analyst / Data Analyst (Data Governance)

Location : Iselin NJ Onsite

Duration : Long term contract

Interview : In-Person

Domain: Data Governance & Investment Banking experience is MUST.

Overview:

• We are seeking a highly experienced Lead Business Analyst to champion risk governance and data management initiatives within our organization.
• The ideal candidate will possess deep expertise in data lineage risk assessment data quality and governance frameworks with a proven ability to lead complex programs across cross-functional teams in the BFSI sector.

Key Responsibilities :

Strategic Leadership-

• Own the end-to-end delivery of key phases: Data Lineage Risk and Control Assessment Data Quality Testing and Attestation.
• Shape and refine implementation strategies for high-risk data packages setting execution priorities.
• Serve as the SME and escalation point for data risk governance processes and remediation planning.

Program Oversight -

1. Data Lineage -

• Oversee the execution of data lineage mapping exercises across business units.
• Ensure completeness of lineage documentation incorporating data transformations and manual interventions.
• Govern lineage quality metrics gap identification and remediation prioritization.

2. Risk and Control Assessment -

• Lead walkthroughs with business and control owners to assess ingestion-to-consumption risk.
• Review and validate control effectiveness across manual automated preventive and detective controls.
• Guide the use of internal risk templates and align findings with enterprise risk taxonomy.

3. Data Quality & Profiling -

• Direct the design and execution of data profiling and anomaly detection working with vendor tools (e.g. Anomalo).
• Guide business rule validation and help define or enhance enterprise DQ rules.
• Lead quality assurance documentation and remediation recommendations.

4. Issue Management and Remediation -

• Monitor the issue lifecycle including severity tagging impact assessment and ownership tracking.
• Oversee governance reporting for remediation plans; ensure timely execution across teams.
• Maintain transparency with leadership on backlog status risk exposure and closure KPIs.

5. Testing & Validation -

• Supervise UAT cycles validating data quality rules lineage completeness and control coverage.
• Collaborate with data engineers and business testers to design and approve test plans.
• Validate control effectiveness across automated and manual pipelines.

6. Use Case Onboarding -

• Create and maintain templates for use case documentation (risk control lineage).
• Ensure each use case includes proper controls lineage risk documentation and compliance guardrails.
• Standardize onboarding checklists and compliance approval workflows.

7. Operational Attestation Transition -

• Define and institutionalize the transition framework from project delivery to operational teams.
• Drive adoption of attestation templates training materials and feedback mechanisms.
• Ensure control ownership and documentation continuity post-transition.

Required Skills and Qualifications

Experience :

• 10 years of experience in Business Analysis Risk Governance or Enterprise Data Management.
• At least 3 years in a lead or senior BA role overseeing cross-functional risk/data initiatives in BFSI.
• Proven experience managing stakeholders across business technology audit and compliance.

Technical & Domain Knowledge :

• Solid knowledge of risk frameworks (e.g. COSO COBIT BCBS 239).
• Deep understanding of data lineage data quality measurement metadata management.
• Familiarity with profiling/anomaly tools (Anomalo Great Expectations) data cataloging (Collibra Alation).
• Ability to read and interpret data flows lineage diagrams profiling logs.

Soft Skills:

• Strong stakeholder engagement facilitation and negotiation skills.
• Detail-oriented with ability to synthesize complex topics for senior leadership.
• Capable of mentoring junior analysts and driving team collaboration.
• Partner with Heads of Risk Business Data Stewards Data Engineering Compliance and Internal Audit.
• Represent risk/data programs in governance forums and regulatory working groups.
• Liaise with vendor partners supporting profiling lineage or remediation.