Data Management Specialist

Job description / Role

Description

BlackStone eIT is seeking a detail-oriented data management specialist to join our innovative team. As a data management specialist, you will play a crucial role in ensuring the accuracy, reliability, and accessibility of our data assets. You will work closely with various departments to manage data quality, data governance, and data integration processes.
Your expertise will contribute to optimizing data workflows, improving data utilization, and supporting decision-making across the organization. If you are passionate about data management and looking to make a significant impact in a collaborative environment, this position is for you!

Responsibilities

• Monitor and maintain data quality standards across various data systems.
• Implement data governance policies and procedures to ensure compliance and security.
• Facilitate data integration projects, collaborating with IT and business teams.
• Conduct regular audits and assessments of data assets to identify and resolve discrepancies.
• Assist in developing and maintaining documentation for data processes and procedures.
• Provide training and support to users on data management tools and best practices.
• Stay informed about industry trends and emerging technologies in data management.

Requirements

• Bachelor's degree in information technology, computer science, data management, or related field.
• At least 3-5 years of experience in data management or a similar role.
• Strong knowledge of data governance, data quality, and data integration practices.
• Experience with database management systems (e.g., SQL, Oracle, NoSQL).
• Familiarity with data analysis and visualization tools.
• Excellent analytical and problem-solving skills.
• Strong communication skills, with the ability to work collaboratively across teams.
• Detail-oriented and highly organized, with the ability to manage multiple tasks efficiently.
• Knowledge of data privacy regulations and compliance standards is a plus.

Achievements

• Improved data processing efficiency by 15% using Python.
• Developed and implemented data mining models using Python and scikit-learn, resulting in a 10% increase in customer retention.
• Designed and built interactive dashboards in Tableau, providing real-time insights to stakeholders.
• Managed and maintained SQL databases, ensuring data integrity and availability.

Benefits

• Paid time off
• Training & development
• Performance bonus