1. Understanding of doing DPI, PCAP etc diagnostics with WireShark and TShark.
2. Strong expertise into how different network protocols work such as DNS, IP, TCP etc.
3. Using automated tools to extract data from primary and secondary sources
4. Removing corrupted data and fixing coding errors and related problems
5. Developing and maintaining databases, data systems – reorganizing data in a readable format
6. Performing analysis to assess quality and meaning of data
7. Filter Data by reviewing reports and performance indicators to identify and correct code problems
8. Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
9. Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
10. Analyzing local, national, and global trends that impact both the organization and the industry
11. Preparing reports for the management stating trends, patterns, and predictions using relevant data
12. Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
13. Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important
decisions based on various facts and trends.
14. Provide innovative analytical insights within the Data Products Program
15. Respond to data and product related inquiries in real-time to support business and technical teams
16. Perform various data analytics in SQL and MS Excel using statistical models or industry accepted tools
17. Provide relational database expertise to construct and execute SQL queries to be used in data analysis activities
18. Provide data solutions, tools, and capabilities to enable self-service frameworks for data consumers
19. Provide expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization
20. Responsible for developing and executing tools to monitor and report on data quality
21. Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions
22. Provide support to Tech teams in managing security mechanisms and data access governance.
Email : hr@SynapticVanguard.com