The explosion of data in recent years has led to a surge in career opportunities in data science, with companies across all industries seeking professionals who can extract insights from massive datasets. You must have heard about the traditional job roles in data science like Data Analyst, Data Scientist and Data Engineer. We have already discussed about the career options of Data Analyst, Data Scientist and Data Engineer in our earlier blog – you may refer it here : https://databrio.com/blog/careers-that-you-can-have-with-data-science. Today we shall discuss about some related job roles that also make for great career opportunities in Data Science field.
A. Data Mining Specialist
Companies use past data of transactions and operations for future behaviour prediction to create and fulfill market needs that might arise in the coming time. Data mining specialists extract, transform, create data models and dig deep into the data, whether from transactional databases or data warehouse, in order to identify the patterns and relationships from the data with help of the data science team. They use various ETL tools like Informatica, Talend, Pentaho, Alteryx etc. and also statistical softwares for researching and mining the data and modelling relationships. Data mining specialist, ETL developer, Data management specialist – these are related job roles and career opportunities in data science, data mining and management.
B. Business Analyst
A Business analyst is a liaison between IT and business and focuses on getting the business requirements and perspectives right. A business analyst is not really oriented in technology but carries a deep understanding of various business processes. The Business analyst produces usable deliverables like reports and presentations that others can easily understand. If you have a solid foundation in numbers and have an interest in business, this is the career opportunity for you.
C. Business Intelligence Analyst
The role of the person at this post is to gather data in every possible way including mining data from the company’s system, studying industry trends, reviewing competitor & data, etc. They use all the collected data to create and understand the overall picture of where the company stands and then create reports and systems that the company can use. Business Intelligence Analyst specializes on specific tools like Cognos, Alteryx, SAP Hana etc. Many of them also transition to become a data analyst. So you can understand that there are many career opportunities in data science specially related to business and data analytics.
D. Marketing Analyst
As the name suggests, a Marketing analyst studies the data and assist the companies in making informed decisions about market opportunities related to their businesses. They interpret colossal data sets of sales, product, promotions, distributions, advertisement in various channels, pricing etc. using their mathematical, statistical, and analytical skills. Although it is an entry-level job in the data science field, it offers the much-needed experience in the marketing domain that you will need later for senior job roles. If you love marketing, you may like to apply the quantitative techniques like time-series forecasting, SEM, market mix models etc. to help the marketing function improve their marketing effort and increase sales.
E. Statistician
A statistician uses mathematical and statistical tools and techniques to analyze and interpret data for solving the problems of the world. They can work in academics, business, healthcare, government offices, engineering, business, marketing, etc. They can work as a general statistician but with a specialization, they can stand out in their field in financial services, supply chain or manufacturing. For those with a quantitative mind and a passion for problem-solving, career opportunities in data science offer a chance to make a real impact, developing solutions that can optimize business processes, improve customer experiences, and drive innovation.
F. Machine Learning Engineer
Artificial Intelligence, or AI, is ruling the world today and Machine Learning is its subset. Machine Learning works along with big data applications, advanced mathematics, and software programming. Once models are developed by the data science team, ML engineers automate the models and deploys in production with help of Devops team. Machine Learning Engineers would need to have skills of python, R or a similar programming language or proprietary tools like Alteryx, SAS, IBM Watson, databases as well as machine learning concepts. This job needs years of experience in the field of software engineering and data science.
The vast amount of data being generated today has led to a surge in career opportunities in data science. From researchers to analysts, there are roles for people at every stage of their careers who are interested in working with data to solve problems. The strong demand for skilled professionals means that data science is a field with a very promising future. Whether you’re interested in healthcare, finance, or entertainment, career opportunities in data science are plentiful, and the field is expected to continue its rapid growth for years to come.
If you are interested in one of these career roles, find the perfect data science course in Kolkata. Talk to the experts and institute counsellors to understand which opportunity is best suited for you and what you need to do to achieve your dream job.