The purpose of this tool is to help managers identify BI talent among current staff or interviewing candidates. Reference this when using behaviorally-based interviewing questions that relate to observable traits and abilities during the interview process.
Creative and inquisitive with regard to interpreting data, doesn’t follow a set method or process for working with it, willing to experiment in finding new ways to work with data
Takes complex data and builds a system that interacts with another organization's system
Proactively seeks new opportunities and projects to experiment and use the data in different ways
Researches issues and trends, begins to ask the right questions to solve problems, doesn’t make assumptions about what the customer or leadership wants
Seeks to work with and consult the right individuals (customers, peers, leadership) while working with data and creating reports to successfully satisfy information needs and inform decision-making
Works with leadership to assess best approaches to measure performance and link to organizational performance or business operations
Demonstrates confidence in the interpretation of data and is comfortable with taking risks while presenting solutions
Takes initiative to learn about the industry they are working within (health care, human resources, higher education, fundraising, etc.)
Flexible and able to easily adapt to new work or a new industry
Possesses the ability to work across multiple functions (finance, IT, HR, student, etc.) and demonstrates the ability to quickly develop appropriate knowledge from each to support robust solutions
Demonstrates awareness that there is always more to learn about the organization and the problems to be resolved or issues to be addressed
Demonstrates resourcefulness by looking to leverage any organizational resources to address problems or issues
Overall, individuals with talent and experience in business intelligence come from various educational backgrounds and share common skills and abilities.
Most candidates hold a BA or BS degree in a quantitative field such as finance, marketing, accounting, information systems; or an MBA or MS in a quantitative field
Some individuals hold non-traditional degrees where they have been taught to research and form good questions, such as industrial engineering, economics, biostatistics, business, or liberal arts
A successful candidate will possess the technical skills in enterprise-wide data modeling, database design and query-writing software, and other analytical tools and techniques related to business and market analysis and decision-making science
A successful candidate demonstrates the ability to apply problem and root cause analysis and methodology development, development of analyses to support strategic and management initiatives, and provide recommendations for improvement/ resolution to leadership