What does a data analyst do?
A data analyst is responsible for evaluating a wide range of data. He or she analyzes it for certain details and develops various concepts on this basis. In addition, the data analyst presents the data to his or her colleagues and superiors and makes it understandable to them. The analyses in this job are usually determined using a so-called data warehouse. This is a central database system that stores certain company data for analysis purposes. Various statistical methods are then used to interpret these large volumes of data.
What tasks are typically involved?
- Processing and transformation of enterprise data
- Analysis and evaluation of data
- Summarize and present the results of work
- Coaching of colleagues and superiors
- Maintenance and implementation of data systems
- Support in quality control
- Implementation of (new) systems for data collection
- Obtaining the correct data from external and internal databases
- Conversion of raw data into the appropriate format (Data Wrangling)
write queries - close cooperation with the development teams
- Creation and development of reports
- Definition of the correct key figures, from which, for example, the profitability of individual company processes can be read.
What does a working day look like?
In the morning, the current campaigns and monitoring are first checked. Monitoring is the monitoring of processes. It is an umbrella term for all types of systematic recording (logging), measurement or observation of a procedure or process using technical aids or other observation systems.
(One function of monitoring is to determine whether an observed procedure or process is taking the desired course and whether certain thresholds are being observed, so that otherwise it is possible to intervene in a controlling manner. Monitoring is therefore a special type of logging).
After all clicks, conversions, engagements and impressions have been analysed, this is shared and discussed with the team. Then the next task is to optimize current and new campaigns. Here, the “customer glasses” must always be put on in order to achieve an optimal result for the customer. At least one optimization per day should be the goal. The satisfaction of the customer is the first priority here.
In the evening all collected data and the To Do`s are entered in Jira to start the next day well prepared.
Which special features should be considered?
The Data Analyst and the Data Scientist are two very similar professions. Usually a Data Scientist formulates the questions for the company, which he wants to answer with his database, himself….
→ Read more about that on our blog: https://bit.ly/3hiRbQz
