Data analytics courses are in high demand in India because shortage of two lakh professionals in data analytics. Professionals, who can get insights and make informed decisions from data, are in high demand. These roles generally include Data Engineers, Data Analysts, and Data Scientists.
Responsibilities of a Data Engineer?
Data Engineers are responsible for organizing the data in a structured and easy to get to format for the organization they work for. Data Analysts and Data Scientists use this data to come up with insights, which inform the business or develop data products that improve the customer journey.
- Create, construct, install, test and maintain data management systems. They create managerial databases or data lakes to store all pertinent data points.
- Confirm that systems meet industry practices and business needs.
- Examine prospects for data procurement and the latest events for existing data.
- Slot in new data management technologies and software engineering tools into existing actions.
- Work with modellers, data architects, and IT team members to achieve project goals.
What are the skills required by a Data Engineer?
1. Technical skills
2. Effective Collaboration
3. Intellectual Curiosity
4. Industry Knowledge
What are the responsibilities of a Data Analyst?
The roles and responsibilities of a Data Analysts include analysing data and deriving insights from it. They use statistics, investigative Data Analysis and Machine Learning to assess the data at hand. They help organizations to understand:
- Marketing and sales predictions.
- Resource optimisation
- Attrition of employees in an organisation.
What are the job requirements and skills of a Data Analyst?
- Business Domain Knowledge – Data Analysts are business problem solvers. Therefore, they need to have an sharp understanding of the business, in order to clearly define the problem and come up with quantitative solutions.
- Analytical and Statistical Skills – Data Analysts operate with large quantity of data, figures, facts and crunch numbers. They need to know statistical and machine learning techniques to analyse the data in order to reach conclusions and be able to make recommendations.
- Technical Skills: Data Analysts sieve through huge amounts of data. They need to know specialised languages like R and Python to perform analysis and be familiar with SQL to manage data and derive quick trends.
- Communication Skills – Data Analysts are often required to present findings or decode the data into an understandable document. They must communicate complex ideas in the best way possible.
Where do Data Scientists healthy in?
A Data Scientist embodies the perfect combination of business knowledge, technical know-how and figures. As a Data Scientist your job is not to simply sketch insights and trends from the data collected over a period of time, but to also create intelligent systems which companies can organize to automate decision making.
Requisite skills for a data scientist?
- Knowledge of algorithms, statistics, mathematics and machine learning.
- Programming languages such as R, Python, SQL, SAS, and Hive.
- Business understanding and the aptitude to frame the right questions to ask, and find answers in the available data.
- Communication skills in order communicate the results effectively to the rest of the team.
However, the day-to-day job of a Data Scientist varies a lot.
Read: Mandatory Skills to Become Data Scientist
Difference between Data Scientist and Data Analyst
To explain in more detail, they both deal with data, but the key difference between Data Scientist and Data analyst is what they use the data for? Data Scientist roles and responsibilities include interpret data. They also have to code and prepare models for the better future of the company. A Data Scientist already has a higher degree which in some cases, they might have already performed the roles and responsibilities of a Data Analyst. If it still confuses you that exactly what does a Data Scientist do, then understand the fact that they are skilled and higher in programming and the current processes of data modelling. But they also possess the skills of Data Analyst.
All we can say about what the role of Data Analyst is is juggling between data and identifying new trends. To make decisions based on the insight and to create graphical representations, and to showcase to the company what the data reveals is exactly what the work of a Data Analyst is.
Conclusion
The Data Engineer manages the data needs of the organization. Data Analysts provide insights. Data Scientists create data products which can make the user experience faultless. It is important to keep in your mind that these definitions and roles may vary in different organizations.
Also, read: 7 Factors Companies Look for When Hiring a Data Scientist