Enterprise Data Architect Analyst at Reputable Health Insurance Company

A reputable Health Insurance company is recruiting suitable candidates to fill the position below:

Job Title: Enterprise Data Architect Analyst

Location: Yaba, Lagos

Employment Type: Full-time

Key Responsibilities

• Design, develop, and implement enterprise data architecture solutions that align with the organization’s strategic goals.
• Collaborate with cross-functional teams to gather and analyze data requirements and translate them into scalable data models.
• Ensure data integrity, security, and compliance with relevant regulations and standards.
• Develop and maintain data governance frameworks and best practices.
• Perform data analysis and provide insights to support business decision-making.
• Lead and participate in data-related projects, ensuring timely delivery and adherence to project management best practices.
• Work closely with IT teams to ensure the seamless integration of data systems and technologies.
• Continuously monitor and optimize data architecture to improve performance and scalability.

Qualifications

• MSc in Computer Science or a related field.
• Certification in Project Management (PMP) or Agile Scrum is highly desirable.
• Minimum of 3 years of relevant experience in data architecture, data management, or data analysis.
• Strong knowledge of data modeling, database design, and data governance.
• Proficiency in data analysis tools and technologies (e.g., SQL, ETL tools, data visualization tools).
• Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
• Strong problem-solving skills and attention to detail.
• Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is a plus.

Why Join Us

• Opportunity to work with a dynamic and innovative team.
• Competitive salary and benefits package.
• Professional development opportunities and career growth.

Application Closing Date
15th September, 2024.

Method of Application
Interested and qualified candidates should send their CV to: [email protected] using “Data Analyst” as the subject of the mail.