Data Analyst

Unacademy

1. 1. Collaborate with various peer team and business leadership during the whole data analytics
2. lifecycle throughout acquisition, Cleaning, distribution and reporting.
4. 2. Data extraction, Data transformation, Data loading from different source and DataMart.
6. 3. To collect data from various sources like Facebook, Linked in, internal data and accumulate it
7. into a single database.
9. 4. Performance Data Analysis: includes pulling data from various parties, sources (like Business Objects, Data warehouses, flat file, and other source), data cleansing, data consolidation, data formatting, data validation, reporting and most importantly Data Analysis.
11. 5. It can help the organization in identifying potential customers for its future business and
12. marketing strategies
13. 6. Different marketing campaigns and advertising strategies can be taken towards these
14. customer segments.
16. 7. Collecting data from different sources, understand and cleansing the data as per the project requirement.
18. 8. Doing reports for quarterly and monthly basics.

Don Bosco Institute of management sudies

Finance