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Sr. Business Analyst / Data Analyst
Sr. Business Analyst / Data AnalystKanak Elite Services Inc • New York City, NY, United States
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Sr. Business Analyst / Data Analyst

Sr. Business Analyst / Data Analyst

Kanak Elite Services Inc • New York City, NY, United States
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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 Himanshu01@kanakits.com .

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.
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