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Title
Text copied to clipboard!Business Intelligence Analyst
Description
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We are looking for a Business Intelligence Analyst to join our team. The successful candidate will turn data into information, information into insight and insight into business decisions. The Business Intelligence Analyst will conduct thorough data analysis, help design and implement analytics programs, generate reports, and collaborate with various teams to ensure we are optimizing our resources and maximizing our market share. This role will require a strong understanding of data analysis tools and techniques, as well as excellent communication skills to translate data-driven insights into actionable business plans.
Responsibilities
Text copied to clipboard!- Collecting and interpreting data
- Analyzing results
- Reporting the results back to the relevant members of the business
- Identifying patterns and trends in data sets
- Working alongside teams within the business or the management team to establish business needs
- Defining new data collection and analysis processes
- Creating and maintaining BI dashboards
- Performing data profiling to identify and understand anomalies
- Developing and managing BI solutions
- Providing support to the data management team
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science, Statistics or relevant field
- Proven experience as a BI Developer or Data Scientist
- Industry experience is preferred
- Background in data warehouse design and data mining
- Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS)
- Analytical mind with a problem-solving aptitude
- Ability to write comprehensive reports
- Strong communication skills, with the ability to present complex information in a clear and concise manner
- Knowledge of BI technologies
- Understanding of business practices and strategies
Potential interview questions
Text copied to clipboard!- Can you describe a time when you had to use data to make a decision?
- What BI tools have you used in the past?
- How do you handle data anomalies?
- Can you explain a time when you had to present complex data in a simple way?
- What is your process for data analysis?