- What his role at Amazon in business intelligence involves; He is responsible for hiring and developing a team of talented data professionals ranging from business analysts to business intelligence engineers, data engineers and product managers, technical program managers. His team basically helps the business managers to get the data and insights they need to do their jobs. He is also quite familiar with the Amazon hiring process so he would be a great resource for insights around the process and how to prepare for interviews.
- What business intelligence involves – the process of transforming raw data into actionable insights that drive business decisions and create value:
- Data collection and sourcing – sourcing data from the various systems that produce them throughout the organization, e.g., SQL
- Data processing and preparation – cleaning, transforming, and structuring the data to make it suitable for analysis. E.g., Python
- Data analysis and interpretation – applying analytical techniques to identify trends, patterns, and insights within the data
- Building tools for business partners to use – dashboards, visualization, e.g., tableau
- the fun part is being able to be kind of involved in the whole range of business problems in terms of data.
- His career advice for those interested in analytical roles like this one in tech.
- core technical skills
- extracting data – SQL and Python
- Creating data sets
- Analyzing data – knowing how to use data to drive change
- Data visualization and building tools for end-users of the data
- Non-technical skills/personal attributes:
- Understanding the intersection of customer needs, data, and business problems/questions
- Intellectual curiosity and ability to learn
- Communication
- Team player
- Flexibility and agility
- core technical skills
What Is Business Intelligence? Transforming Raw Data into Actionable Insights | Chris Schmidt ‘07, Senior Manager Business Intelligence, Amazon
Chris discussed: