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Data Systems Specialist
2 months ago
As a key member of the Data+ Program, you will play a pivotal role in assessing, optimizing, and enhancing our data systems to drive strategic decisions. Your expertise will guide the analysis of business needs, the design of data models and architectures, and the implementation of reliable, scalable data solutions.
Key Responsibilities:
- Collaborate with stakeholders to gather and analyze data system requirements and application needs.
- Evaluate existing systems to identify strengths, weaknesses, and areas for enhancement.
- Work with Data Architects, Business Analysts, and other stakeholders to translate business needs into effective data solutions.
- Lead or support the implementation of data systems, including configuration, customization, testing, and deployment.
- Develop and manage processes for integrating data from diverse sources, including data pipelines, ETL processes, and synchronization mechanisms.
- Implement data quality assurance measures, including validation rules, cleansing procedures, and reconciliation mechanisms, to ensure high-quality data.
- Assess and optimize data system performance, identifying bottlenecks and implementing strategies for scalability and efficiency.
- Create and maintain comprehensive documentation for data systems, including technical specifications and user guides.
- Ensure data systems comply with regulatory requirements and security standards through robust access controls, encryption mechanisms, and auditing procedures.
Required Qualifications:
- A degree in data science, computer science, information technology, or a related field.
- A minimum of five years of experience in system analysis, design, and implementation with a focus on data management and analytics.
- Strong communication and collaboration skills, with a proven ability to work effectively with cross-functional teams and stakeholders.
Preferred Skills and Experience:
- Excellent communication and presentation skills, with the ability to simplify complex data solutions for non-technical audiences.
- Solid understanding of data governance principles, data security best practices, and regulatory requirements.
- Experience with Oracle Autonomous Data Warehouse is highly desirable.
This role is an excellent opportunity to leverage your expertise in data systems and analytics to drive business growth and success.