Beachwood, Ohio, 44122
Job description
Business Intelligence Analyst
Beachwood, OH (Hybrid)
$90-105,000
This role involves collaborating with the commercial team to clean, transform, and optimize critical business data from diverse platforms, ensuring it is ready for analytical use. Key responsibilities include developing and implementing efficient databases, data collection systems, and AI-driven methodologies to support advanced analytics and business decision-making. The role also focuses on analyzing complex data, identifying trends, and delivering actionable insights through reports. Additionally, it involves prioritizing business needs with management, improving processes, and leveraging Artificial Intelligence to enhance overall performance across various functions.
Main Areas of Responsibilities:
- Interpret data, analyze results using statistical and neural network techniques and provide ongoing reports.
- 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.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Work with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
- Manage and develop Artificial Intelligence techniques for use in various business functions.
Responsibilities and Qualifications:
Education & Working Experience
- Bachelor’s degree in mathematics, Economics, Computer Science, Information Management, Statistics, Chemistry, Materials Science or Engineering
- Proven working, or project experience as a Data Analyst or Business Data Analyst
- 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.
