
Data Management Specialist
7 days ago
The role of a Data Management Specialist is to oversee the design and implementation of data management systems that support business operations.
This includes developing and maintaining data architectures, ensuring data quality and integrity, and providing data analytics and insights to stakeholders.
Key Responsibilities:
- Design and implement data management systems that align with business requirements
- Maintain data quality and integrity through data validation and cleansing
- Develop and maintain data visualizations and reports to provide insights to stakeholders
- Collaborate with cross-functional teams to ensure data-driven decision making
Required Skills and Qualifications:
- Strong understanding of data management principles and practices
- Experience with data modeling and data architecture
- Proficiency in data visualization tools such as Tableau or Power BI
- Excellent communication and collaboration skills
Benefits:
- Opportunity to work with a dynamic team on high-profile projects
- Professional development opportunities to enhance skills and knowledge
- A competitive salary and benefits package
Others:
- Familiarity with Agile project management methodologies
- Experience with cloud-based data management platforms
Technical Requirements:
- Bachelor's degree in Computer Science, Information Systems, or related field
- Minimum 5 years of experience in data management or a related field
Preferred Skills:
- Master's degree in Computer Science, Information Systems, or related field
- Certification in data science or data engineering
Data Analysis and Interpretation:
- Strong analytical and problem-solving skills
- Ability to collect and analyze large datasets
- Experience with statistical modeling and machine learning algorithms
Business Intelligence Development Studio:
- Experience with Business Intelligence Development Studio (BIDS)
- Knowledge of SQL and database management systems
Data Quality:
- Understanding of data quality metrics and measures
- Ability to develop and implement data quality checks
Embracing Change:
- Adaptable and flexible in a fast-paced environment
- Ability to pivot quickly in response to changing business needs
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