Data analysts evaluate a wide variety of data, present it to their colleagues and superiors and develop concepts and recommendations for actions based on the data. These analysts are needed in organizations where a lot of data is generated. What does a data analyst do?
What is data analytics?
Data analytics is about extracting insights from data. The term includes all processes, tools and techniques that are used for this purpose.
Data analytics also includes collecting, organizing and storing data. The main goal here is to use technology and statistical analysis to identify trends and solve problems.
The area of data analytics is influenced by numerous other sciences, such as computer science, mathematics and statistics. The analysis of data should describe, predict and ultimately optimize performance.
To ensure that this works reliably, data analytics teams use numerous different data management techniques, for example data mining, data cleansing, data modeling and others.
What is the role of a data analyst?
Data analysts are tasked with scrutinizing information using data analysis tools. They manage master data and use advanced computerised models to extract the data, when needed.
These analysts collaborate with the heads of specialist departments in a company and define data analysis goals. They are tasked with collecting and selecting both structured and unstructured data from internal and external sources.
They manage users and user roles and are in charge of providing quality assurance of any data that has been imported. These analysts are also responsible for developing data collection systems, removing any corrupt data, and identifying and correcting errors in the data collection.
Data analysts create reports based on their analysis and present it to management. They also evaluate any changes to source production systems and when needed, provide technical expertise in data storage structures.
What is the difference between a data analyst, a data scientist and a data engineer?
Where a data analyst is in charge of analysing numerical data, data scientists work with complex and raw data and are in charge of designing the way the data is stored, manipulated and analyzed.
Data engineers on the other hand are tasked with preparing data for analytical or operational uses. They develop and construct data pipelines in an effort to bring together information from different source systems.
Responsibilities of a data analyst:
- Scrutinizing information using data analysis tools
- Managing master data
- Using advanced computerised models to extract data
- Collaborating with the heads of specialist departments in a company and defining data analysis goals
- Collecting and selecting both structured and unstructured data from internal and external sources
- Managing users and user roles
- Providing quality assurance of any data that has been imported
- Developing data collection systems
- Removing any corrupt data
- Identifying and correcting errors in the data collection
- Creating reports based on analysis and presenting it to management
- Evaluating any changes to source production systems
- Providing technical expertise in data storage structures
Looking for data analysts?
Find the right freelancer here
What skills do you need to be a data analyst?
Data analysts have exceptional mathematical skills and are experienced when it comes to data models and reporting packages. They have the ability to analyze existing databases and tools and provide solutions and recommendations.
These analysts have knowledge of database languages such as SQL, R, or Python and have the ability to work with stakeholders to assess potential risks.
They also have the ability to analyse large datasets, write comprehensive reports, and are able to translate business requirements into non-technical terms.
Apart from technical skills, data analysts possess excellent verbal and written communication skills, are extremely accurate, and have a sharp attention to detail. They also have an analytical mind, an inclination for problem-solving, and are able to work well in a team.
Skills of a data analyst:
- Exceptional mathematical skills
- Experience with data models and reporting packages
- Ability to analyze existing databases and tools and provide solutions and recommendations
- Knowledge of database languages such as SQL, R, or Python
- Ability to work with stakeholders to assess potential risks
- Ability to analyse large datasets
- Write comprehensive reports
- Ability to translate business requirements into non-technical terms
- Excellent verbal and written communication skills
- Sharp attention to detail
- Strong analytical mind
- Excellent problem-solving skills
- Ability to work well in a team
Join our IT freelancer community today! Create your freelance profile in just 2 minutes.
While a degree is not essential, employers often tend to prefer data analysts that have at least a Bachelor’s degree. This could be in the field of Computer Science, Mathematics, Statistics, Economics or Data Science.
Training and certification also go a long way and can help boost your chances of being hired as an analyst. Check out options for these down below:
- Data Analyst Certification Course|Online Training With IBM
- The Data Science Course 2021: Complete Data Science Bootcamp
- Data Analysis & Visualization: Python | Excel | BI | Tableau
- Google Data Analytics Professional Certificate
- Data Scientist Course
The salary for a data analyst can be influenced by various factors such as industry and position. Entry-level analysts can earn up to $45,000 per year whereas senior analysts can earn up to $104,000. The average salary is $69,000.
In Germany, the salary range is €35,000-€61,000 whereas in the UK, the range is £24,000-£54,000.
How much do data analysts make?
How much do freelance data analysts make?
The freelancermap rate index in July 2021 shows an average hourly rate of $95. Considering an 8-hour working day, freelance analysts make about $760 a day.