Master Builders Solutions needs to clean, transform, and optimize critical business data from diverse platforms, ensuring it is ready for analytical use, and leverage AI to enhance overall performance.
Requirements
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Detailed experience with Power BI - including best practices for user interface creation and data visualization.
- Ability to create and manage SQL databases according to industry standards.
- Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (Python, XML, JavaScript, or ETL frameworks), Power BI
- Knowledge of statistics, Neural networks and the like and experience using statistical and Artificial Intelligence packages for analyzing datasets (Excel, SPSS, SAS etc.)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing and presenting findings.
Responsibilities
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Manage and develop Artificial Intelligence techniques for use in various business functions.
- Interpret data, analyze results using statistical and neural network techniques and provide ongoing reports.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Develop and implement AI-driven methodologies to support advanced analytics and business decision-making.
Other
- Proven working, or project experience as a Data Analyst or Business Data Analyst
- Work with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
- Collaborating with the commercial team to clean, transform, and optimize critical business data from diverse platforms, ensuring it is ready for analytical use.
- Prioritizing business needs with management, improving processes, and leveraging Artificial Intelligence to enhance overall performance across various functions.