key responsibilities
- 1. develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple framework.
- 2. identify trends and opportunities for growth through analysis of complex data sets.
- 3. create best-practice reports based on data mining, analysis, and visualization.
- 4. experience with etl tools and processes, data cleansing, edw technologies
- 5. conducts and facilitates (and educates and trains on) analyses, issues identification, organizational risk assessment, and decision-making processes.
- 6. experience in conducting training and educating junior resources for decision making process.
- 7. provides technical support and mentoring and training to team members.
- 8. provides consulting and analytic services to leadership
- 9. work directly with management and users to gather requirements, provide status updates, build relationships, prioritize business and information needs.
- 10. develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- 11. demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
- 12. providing technical expertise on data storage structures, data mining, and data cleansing.
required skills:
- knowledge of database languages such as sql, r, or python; spreadsheet tools such as microsoft excel or google sheets.
- knowledge of data visualization software such as tableau or qlik.
- rdmbs systems and no-sql databases ? etl best practises and tools.
- knowledge of google data studio & ga enhanced ecommerce.
- high-level written and verbal communication skills.
- up-to-date with the latest technologies & it trends.