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.
5 - 8 Years
02 Openings
5.5-6.5 Lac/Yr
Vadodara 
Face-to-Face interview
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