Data Governance Analyst

Skyleaf Global Consultants • Government • Professional Services • SQL • 15 days ago
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Salary
≈ $12k – $27k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Middle · 3+ years exp

First seen by Alion on Oct 1, 2026.

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Skyleaf Global Consultants

Skyleaf Global Consultants is a human resources and executive search firm specializing in permanent staffing, leadership hiring, and talent management solutions. Headquartered in New Delhi, India, the company serves clients across diverse industries, including information technology, automotive, healthcare, and retail. Through its structured recruitment methodology, the agency helps organizations build high-performing teams by connecting them with qualified mid-to-senior level professionals.
skyleafglobal.com • HQ: New Delhi, India • Professional Services • Recruiting & Staffing • Human Resources • 11-50 employees • Est. 2010
Tech stack of Skyleaf Global Consultants

Responsibilities:

- Understand the business and business processes to provide insights into critical data elements, their governance, management, and consistent usage.

- Maximize trustworthiness in data for reporting, analytics, controls, risk management, and regulatory compliance.

- Conduct root cause analysis for data defects and support resolution efforts.

- Develop and maintain data quality standards, policies, and procedures.

- Collaborate with business stakeholders to define data requirements and metadata.

- Support data lineage tracking and documentation.

- Monitor compliance to data governance policies.

Tech Stack & Skills:

- Working knowledge of structured and unstructured databases, data modeling, data management, SQL, and data governance tools.

Qualifications:

- Understanding of data governance frameworks and best practices.

- Knowledge of structured and unstructured database technologies.

- Proficiency in SQL and data modeling concepts.

- Strong analytical and communication skills.

- Ability to work across business and technical teams.

Skills

Data Governance, Data Quality, SQL, Data Modeling, Data Management, Data Lineage

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