Data Analyst is who scrutinizes information using data analysis tools, for that is necessary extract information, depured and clean for produced reports and find insights, facts or trends that help their employers or clients make important decisions.
1. Reports
A data analyst spends much time scrutinized the data and producing insight for a client but also important is to create a history with data trought report.
2. How Often the reporting
A data analyst should be exploring the data all time and finding insights and reporting the client weekly, monthly, for finding patterns of customers of selling so you can find trends over time.
4. Collaborate
A data analyst can be a good relationship, because to obtain information and has insight is a necessary collaboration with marketers, salespeople, web developers for data collection, executives, etc.
5. Questions for a Data Analyst
When you going to create a first data analyst is necessary to make self these questions:
- What happened with the data and description?
- Why did something happen and diagnostic the data
- What is likely to happen and predictive the data?
- what action soul be taken and prescripted the data?
- Microsoft Excel
- SQL, Oracle, Access, MySql, SQL Lite
- SAS Software
- Google Analytics
- Google Tag Manager
- Google Ad Word
- Power Bi, Microstrategy, Quilik view, Tableau
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