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Senior Data Management Analyst Jobs in Utah

Senior Administrative Management Analyst
By Aveshka, a Softtek Company At Washington, DC, United States
Aveshka is seeking a Sr. Administrative Management Analyst
Provide direct support to the Office of the Director (OD) to complete administrative requirements.
Support OD to track and manage the completion of human resources, security, and minor financial actions.
Aveshka encourages collaborative communication and ongoing learning. Some of our benefits include:
Review and analyze procedures and operating policies to assess their effectiveness, provide evaluations, information, and written recommendations.
Draft agendas, meeting minutes or notes, memorandums, and document action items and completion from various meetings.
Senior Data Analyst Jobs
By Hire IT People, Inc At Washington, DC, United States
Manage daily technical challenges and communicates to management any risks or issues.
Shows an understanding of data management concepts – data quality, data lineage, data lifecycle, master/reference data management, metadata management
Excellent skills in analyzing data, gathering requirements, and working with clients and technical teams to translate requirements into solution.
Excellent oral and written communications skills and experience interacting with both business and IT individuals.
Assist the Program Managers with tracking work program deliverables using the appropriate SDLC methodologies including agile scrum.
Develop, manage, and maintain processes, procedures, and documentation for handover to application support.
Data Management Analyst Jobs
By CGS Federal (Contact Government Services) At Washington, DC, United States
Maintain data entry requirements by following data program techniques and procedures
1+ year of Data Entry Experience
3+ years of MS Office experience
Some Benefits Of The Position Include
Work collaboratively with other team members and supervisor to ensure that best practices are shared
Procure data through observation, interviews and analysis of records and other sources to include the utilization of electronic equipment

Are you looking for an exciting opportunity to use your data management skills to make a real impact? We are looking for a Senior Data Management Analyst to join our team and help us drive our data-driven initiatives forward. You will be responsible for developing and maintaining data management processes, ensuring data accuracy and integrity, and providing insights to support decision-making. If you are an experienced data professional looking for a challenging and rewarding role, this could be the perfect fit for you!

What is Senior Data Management Analyst Skills Required?

• Advanced knowledge of data management principles and practices
• Proficiency in database management systems, such as SQL, Oracle, and Microsoft Access
• Knowledge of data warehousing, data mining, and data analysis techniques
• Excellent problem-solving and analytical skills
• Ability to interpret and analyze data
• Ability to work with large datasets
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

What is Senior Data Management Analyst Qualifications?

• Bachelor’s degree in computer science, information systems, or a related field
• 5+ years of experience in data management
• Experience with data visualization tools such as Tableau or Power BI
• Knowledge of data governance and security best practices
• Experience with ETL (Extract, Transform, Load) processes

What is Senior Data Management Analyst Knowledge?

• Knowledge of data modeling and data architecture
• Knowledge of data warehousing and business intelligence
• Knowledge of data quality management
• Knowledge of data governance and security
• Knowledge of data analysis and reporting

What is Senior Data Management Analyst Experience?

• Experience in developing and managing data warehouses
• Experience in developing and managing data models
• Experience in developing and managing data integration processes
• Experience in developing and managing data quality processes