- Interpreting data, analyzing results using query, data statistical techniques.
- Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, Big Query, Python, R and other big data tools.
- Develop analytical reports and represent large, complex sets of data through visual representation.
- Present information in a way that drives fact based decision making.
- Propose and define new business process improvement opportunities based on the data to drive business impact.
- Work with management to prioritize business and information needs.
