Data Mining Specialist
1 week ago
We are seeking a highly skilled Data Mining Specialist to join our team at Datamatics Careers- Philippines.
About the RoleThe successful candidate will be responsible for collecting and analyzing data from various sources to identify patterns, trends, and opportunities for business growth.
This involves gathering data from online platforms, databases, and public records, and maintaining and updating databases with accurate and well-organized information.
In addition, the ideal candidate will have strong analytical skills to identify actionable insights from large datasets, proficiency in using databases, CRM systems, and data mining tools, as well as effective time management and organizational skills.
The role requires adaptability and the ability to learn new software and technologies quickly.
Key Responsibilities- Data Collection and Analysis
- Gather data from various sources to build comprehensive datasets.
- Analyze data to identify patterns, trends, and opportunities for business growth.
- Data Cleansing and Validation
- Ensure the accuracy, completeness, and relevance of data through thorough cleansing and validation processes.
- Identify and rectify inconsistencies, duplicates, and inaccuracies in datasets.
- Database Management
- Maintain and update databases with accurate and well-organized information.
- Optimize data storage and retrieval processes to enhance efficiency.
- Utilization of Tools and Software
- Employ data mining tools, software, and techniques to extract meaningful insights.
- Adapt to and utilize new technologies introduced to improve data mining efficiency.
- Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
- At least 6 months of experience in data mining, data analysis, or a similar role.
- Proficiency in MS Office applications, particularly Excel, for data management and reporting.
- Familiarity with data mining tools, techniques, and software.
- Strong analytical skills to identify patterns, trends, and actionable insights from large datasets.
- Attention to detail and accuracy in handling and cleansing data.
- Ability to adapt to and learn new software and technologies quickly.
- Effective time management and organizational skills for handling multiple datasets and deadlines.
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