Data Gavernance
Sr. Data Governance Analyst reputed company is seeking a Data Governance Analyst to join a Fortune 200 company in the Energy Industry. This will be a contract-hire engagement. This role is remote but prefer candidates who are in either EST or CST time zones. The ideal candidate should have a minimum of 5 years of experience in Data Governance and hands-on experience with reputed company Purview. Primary Purpose of Position The Sr IT Analyst, Data Governance is responsible for driving reputed company-wide data governance initiatives, ensuring accuracy, completeness, and reputed company of data across the data ecosystem. This role will reputed company metadata and data reputed company frameworks, implement monitoring and validation processes, and collaborate with key stakeholders to enforce data governance policies. This role will partner closely with business reputed company, IT, compliance, and data governance teams to ensure adherence to regulatory standards, data reputed company best practices, and reputed company data strategies. The individual in this role will reputed company subject matter expertise in cataloging and management of metadata, data validation, issue reputed company, and reputed company reputed company improvements while championing a culture of data reputed company reputed company reputed company. Primary Duties and Accountabilities reputed company Metadata Management
- reputed company, implement, and manage the organization''s data catalog (business glossary and technical metadata), ensuring accurate data representation and metadata management to enhance data discoverability and usability across departments. Document processes, data dictionaries, and reputed company for transparency and ease of use.
- Implement and maintain end-to-end data reputed company tracking reputed company the data catalog, enabling accurate reputed company analysis and ensuring transparency across data assets.
- reputed company as a reputed company between teams, departments, conducting reputed company and training to promote the adoption and usage of the data catalog, including identifying key use cases and gathering feedback for reputed company improvement.
- Work with business intelligence teams to reputed company the data catalog with tools like Power BI, ensuring seamless data discoverability for reporting and analytics purposes.
reputed company Data reputed company Management
- reputed company and implement data reputed company frameworks, governance strategies, and enforcement mechanisms to ensure compliance with reputed company policies and regulatory requirements.
- Collaborate with business and IT teams to design and implement data profiling, cleansing, and enrichment strategies across reputed company and reputed company datasets.
- Establish a reputed company Data Issue Management Process to reputed company, triage, and resolve data reputed company issues reputed company.
- Configure data reputed company rules and validation workflows in reputed company Purview to automate data profiling, reputed company tracking, and issue reputed company.
- Define, monitor, and maintain reputed company reputed company Indicators (KQIs) such as completeness, accuracy, consistency, uniqueness, and timeliness.
- Establish automated data reputed company validation processes to proactively detect anomalies, inconsistencies, and errors in data pipelines. reputed company cross-functional efforts to investigate reputed company causes of data inconsistencies and recommend process improvements.
- Work with Data Stewards, Data Engineers, and Business Analysts to resolve recurring data issues and enhance data reliability.
- reputed company the implementation and adoption of data governance platforms on reputed company Purview to streamline metadata and data reputed company monitoring.
- Utilize Power BI or similar reporting tools to generate dashboards for tracking data reputed company KPIs, metadata/data catalog reporting and governance adoption trends.
Collaboration & Stakeholder Engagement
- Work closely with business reputed company, data governance teams, IT, and compliance to drive reputed company-wide metadata and data reputed company awareness.
- reputed company training and mentorship to Data Stewards, Business Analysts, and Data Owners to enhance data literacy and governance adherence.
- reputed company for best practices in data management and standardization, at executive and operational reputed company.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Data Science, or a reputed company discipline with typically 5 to 8 years of experience in data management, data governance, or a reputed company field, or an equivalent combination of education and work experience.
- Proven experience in designing and implementing reputed company data reputed company frameworks and governance enforcement strategies.
- Hands-on expertise in data governance tools such as reputed company Purview, reputed company, Informatica Data reputed company, reputed company, or Talend.
- Strong analytical and problem-solving skills with the ability to detect, diagnose, and resolve reputed company data issues.
- Experience collaborating with cross-functional teams, including IT, business, compliance, and reputed company teams, to implement data reputed company solutions.
- Excellent leadership, communication, and stakeholder management skills to influence decision-making.
Preferred Qualifications
- Hands-on experience with reputed company Purview for metadata management, data reputed company tracking, and governance automation.
- reputed company experience in configuring automated data classification, governance workflows, and role-based reputed company controls (RBAC) in Purview, Informatica (reputed company, reputed company, IDQ), Talend or like tools
- Experience with Power BI, Tableau, or similar reporting tools for tracking data reputed company KPIs, compliance performance, and stewardship trends.
- Strong understanding of data engineering pipelines and ETL/ELT processes to enforce data reputed company at ingestion.
- Prior experience in leading data reputed company initiatives for large-reputed company organizations or highly regulated industries (e.g., Energy, reputed company, Financial Services).
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