You must have heard about the traditional job roles in data science like Data Analyst, Data Scientist and Data Engineer. We have discussed about these career options already in our 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.
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.
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.
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 data analyst.
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 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.
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.
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.