Senior Data Analyst (#2520)

We are seeking a highly skilled and motivated Data Analyst to oversee the Business Architecture Digital Boardroom dashboard. The ideal candidate will possess a deep understanding of enterprise architecture data models, maintain high standards of data quality control, and act as a liaison between enterprise architects and data engineers, as well as perform other data analyst duties.

Key Responsibilities:

• Acquire and maintain a comprehensive understanding of the enterprise architecture data model.
• Analyze and interpret complex data structures to provide meaningful insights to stakeholders.
• Implement and manage data quality control processes to ensure accuracy, consistency, and reliability of data.
• Develop and enforce data governance policies and standards.
• Conduct regular data audits and produce reports highlighting data quality issues and their resolutions.
• Serve as the primary point of contact between enterprise architects and data engineers, facilitating effective communication and collaboration.
• Translate business requirements into technical specifications for data engineers.
• Work with enterprise architects to understand business goals and align data analysis efforts accordingly.
• Develop, maintain, and enhance the Business Architecture Digital Boardroom dashboard to meet the evolving needs of the organization.
• Provide comprehensive data analysis and generate reports to support decision-making processes.
• Create data visualizations that effectively communicate findings to both technical and non-technical audiences.
  
  

Requirements:

• Bachelor’s degree in Data Science, Information Technology, Business Administration, or a related field.
• Proven experience as a Data Analyst, preferably with a focus on enterprise architecture data models.
• Strong knowledge of data quality control processes and best practices.
• Excellent communication and interpersonal skills, with the ability to act as a bridge between technical and non-technical teams.
• Proficiency in data analysis tools and software (e.g., SQL, Power BI, Snowflake).
• Strong problem-solving skills and attention to detail.
• Ability to work independently as well as part of a team.
  
  

Nice to have:

• Experience with Business Architecture frameworks and methodologies.
• Familiarity with data governance and data management principles.
• Advanced degree in a related field.