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Junior Master Data Analyst Jobs in Missouri

Junior Data Analyst - Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Texas, United States
Gather requirements and lead development of long-term data management tools, processes and solutions based on organizational needs.
Minimum 1 years of data or information management and/or data analysis experience.
Bachelor's Degree in business, business intelligence, data or information management, or similar.
Communicate with client leadership to assess data needs and emerging requirements
Work with large data sets, workbooks and spreadsheets to manipulate and manage program-level information using macros, queries, scripts, etc.
Experience using Microsoft Excel and Google Sheets (macros, imports, query functions).
Junior Data Analyst Jobs
By ASK Consulting At California, United States
Strong analytic and problem-solving skills
Strong verbal and written communication skills
Ability to self-manage and understand delegated objectives
Team player with strong partnering skills
Experience in MS PowerPoint, SAP, and training support activities
Ability to integrate data sources into MS Access

Are you looking for an exciting opportunity to join a fast-paced and innovative team? We are looking for a Junior Master Data Analyst to join our team and help us manage and analyze our data. You will be responsible for ensuring data accuracy and integrity, developing data models and reports, and providing insights to help drive business decisions. If you have a passion for data and are looking for a challenging and rewarding role, this is the job for you!

Overview A Junior Master Data Analyst is responsible for managing and maintaining the accuracy of master data within an organization. They are responsible for ensuring that the data is up-to-date, accurate, and compliant with the organization’s policies and procedures. They are also responsible for developing and implementing data quality control processes and procedures. Detailed Job Description A Junior Master Data Analyst is responsible for managing and maintaining the accuracy of master data within an organization. They are responsible for ensuring that the data is up-to-date, accurate, and compliant with the organization’s policies and procedures. They are also responsible for developing and implementing data quality control processes and procedures. They must be able to identify and resolve data discrepancies, and ensure that all data is properly documented. They must also be able to analyze data to identify trends and patterns, and develop reports to present their findings. Job Skills Required
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Knowledge of data analysis and data management tools
• Knowledge of data quality control processes and procedures
• Knowledge of database management systems
• Ability to identify and resolve data discrepancies
• Ability to develop reports and present findings
Job Qualifications
• Bachelor’s degree in Computer Science, Information Systems, or related field
• 1-3 years of experience in data analysis and data management
• Knowledge of database management systems
• Knowledge of data quality control processes and procedures
• Knowledge of data analysis and data management tools
Job Knowledge
• Knowledge of database management systems
• Knowledge of data quality control processes and procedures
• Knowledge of data analysis and data management tools
• Knowledge of data security and privacy regulations
• Knowledge of data warehousing and business intelligence
Job Experience
• 1-3 years of experience in data analysis and data management
• Experience in developing and implementing data quality control processes and procedures
• Experience in identifying and resolving data discrepancies
• Experience in developing reports and presenting findings
Job Responsibilities
• Manage and maintain the accuracy of master data
• Ensure that data is up-to-date, accurate, and compliant with the organization’s policies and procedures
• Develop and implement data quality control processes and procedures
• Identify and resolve data discrepancies
• Analyze data to identify trends and patterns
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