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

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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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