Data Science & Data Analytics are the most popular fields in today’s world. Each day millions of bytes of data are generated due to the influence of the internet. Nearly 90% of the world’s population depend on the internet for their day to day activities. The Internet and mobiles have become part and parcel of our lives and we are completely dependent on them for every activity. This has resulted in generation of vast amounts of data and is going unused. To convert this usable data into usable information, the data science and data analytics professionals are necessary. They have the skills and expertise to interpret this data and help the organisations to use it for their new business opportunities.
There are certain important and crucial jobs for the B.Voc Data Science & Data Analytics students. The present article discusses the different jobs available for B.Voc Data Science & Data Analytics students.
Some of the job roles are as follows:
Business Intelligence Developer: BI Developer
Typical job Requirements for BI Developer:
- Design and develop strategies to assist business users in quickly finding the information they need to make informed decisions
- Build custom data analytic applications using BI tools and facilitate understanding in the end users
- Translate business needs to technical specifications
- Design, build and deploy Business Intelligence (BI) solutions
- Maintain and support data analytics platforms
- Create tools to store data
- Conduct unit testing and troubleshooting
- Evaluate and improve existing Business Intelligence (BI) systems
- Collaborate with teams to integrate systems
- Develop and executive database queries and conduct analysis
- Create visualisations and reports for requested projects
- Develop and update technical documentation
Average Salary Package
The average fresher BI developer will be earning around 6 to 8 lakhs per annum. The experienced professionals will be earning around 8 lakhs to 12 lakhs per annum.
Data Architect
Typical Job Requirements: Data Architect
- Ensure to develop performance centric data solutions using computer programmes and algorithms
- Build and develop numerous data analytical applications for cross-platforms like desktops, tablets and mobile devices
