Senior Data Analyst

stency across the organization
o Rollout & enforce Finance specific policies
• Data Governance Playbook Deployment:
o Work with data owners and subject matter experts (SMEs) to identify critical data elements (CDEs) and define data quality (DQ) rules to ensure data accuracy, completeness, consistency, and timeliness.
o Collaborate with stakeholders to determine and operationalize data quality metrics and performance standards
• Data Quality Dashboard Implementation:
o Partner with IT (IDM) to implement a data governance monitoring dashboard
o Monitor the data quality dashboard and collaborate with data owners, custodians, and other stewards to identify quality issues, perform root cause analysis and apply applicable resolutions
o Proactively identify and address risks and vulnerabilities related to data security and compliance
o Develop and maintain process and technical documentation to support proactive data governance initiatives.
• Data Lifecycle Management:
o Oversee the data lifecycle, from creation to archival or deletion, ensuring proper management and compliance. This also includes monitoring domain data usage and identifying opportunities for improved data utilization
• Data Problem Solving: Identifying and resolving data quality issues, contributing to improvements in data and insight delivery processes.
• Data Curation and Catalog Update: Curate data and update catalogs and dictionaries for improved discovery and access.
• Training and Support: Provide training, education, and support to data owners and users on data governance practices. Promote a culture of data stewardship and governance across the organization.

Qualifications:

• Bachelor's degree in information management, computer science, data science, or a related field.
• A minimum of 7 years proven experience in data governance, data management, or a related role.

Skills:

• Demonstrated project experience designing and implementing data quality management and data stewardship initiatives
• Strong understanding of data management concepts and database systems
• Experience in accounting, finance as well as financial management ERPs such as Oracle and SAP
• Strong understanding of data governance principles, and data quality principles policies, and best practices.
• Excellent communication and collaboration skills to work effectively with stakeholders, data owners, and users.
• Proficiency in data quality tools and data cataloging systems.
• Ability to analyze and resolve data quality issues and implement effective solutions.
• Strong organizational skills and attention to detail.
• Proficiency in data profiling and data analysis techniques using tools like SQL, Excel, or data profiling software
• Familiarity with metadata management and data dictionary tools such as Alation
• Excellent analytical and problem-solving skills to identify and resolve data quality issues
• Ability to effectively and persuasively communicate technical standards, practices, and initiatives to drive data governance throughout the organization
• Familiarity with data-related technologies and tools such as ETL, data warehouses, and data lakes
• Knowledge of data visualization and reporting tools such as Tableau, Power BI, and Looker• Data analysis and manipulation skills through data science languages/tools such as Python, R, JavaScript Familiarity with data lifecycle management and data curation practices.
• Certification in data management or related areas (e.g., CDMP, DM-BOK, etc.) is a plus.