- 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.
- Having bachelor degree or master degree in Information System, Computer Science, Math, Statistics or related field.
- Expert in SQL, have the ability to write advanced DB queries (able to use Python/R/Java/Javascript is desirable).
- Ability to quickly disseminate data to find key trends, as well as the ability to dive deep and mine the data behind these.
- Comfortable working with datasets containing millions of rows and creating complex visualizations from raw data in a live dashboard environment.
- Excellent written and verbal communication skills.
- Experience working with analytical tools (Jupyter, Python, Hive, BigQuery ML) is a plus
- Ability to work well and deliver under pressure