Business Analytics for Engineering, STEM Professionals

In competitive business environment, Business Analytics helps management in making better, fact based decisions. Analytics makes use of Information from different sources, application of Information Technology coupled with statistical analysis, quantitative methods and mathematical modeling – to gain improved insight about business operations.
An engineering degree with a knack for programming, statistics and mathematics is the latest choice for employers hiring in the Business Analytics domain.

Why engineers in Data Analytics Role

Engineers have a good blend of learning in technology, mathematics and data science. Engineering graduates fit into the area of BA only if they have an inclination towards number crunching. Their quantitative and computer skills give them the competitive edge that graduates from other streams do not have.
If an engineering graduate is looking for a career in data analytics, he/she should focus on improving his/her numerical computation skills learn some numerical programming language and explore the area of statistics. Engineering graduates with a good knowledge of programming and business can have a well-defined career path in this sector.  Harvard Business School predicts that there is a serious dearth of qualified personnel in business analytics, all over world. With open data movements gathering steam across the world, scope for engineering graduates to make a career in data analytics is huge.

Current opportunities for engineers

Analytics is being widely used in manufacturing, operations, processing, healthcare, retail sales, real estate, supply chain management, education and numerous other areas. Social Networking, Mobile and Digital Technology, analytics and Cloud Computing are the strategic focus areas for many technology companies. The entry-level roles in analytics are in the areas of data modelling, data visualisation, business analysis and reporting. There are a lot of opportunities for fresh engineering graduates who have the right kind of skill set. The entry-level roles generally involve a profile where the graduates are required to aggregate, compile and screen the data and also prepare a datasheet for further analysis. In addition, they may also be asked to explore the data to find some insights before applying any data analysis technique.

For experienced graduates, roles range from business intelligence specialists, programmers, open source experts to Hadoop engineers, cloud computing experts, Java, Python, text mining specialists and domain specialists.

At Novel Analytics, we provide customised “Analytics” training solutions to suit business needs. Our specialties include Talent Management including Skills Gap Analysis,Personal Development Plan, Training Needs, Up-skilling and Re-skilling of professionals in sectors like Engineering, Design,Technology, Processing Industry, Manufacturing and Supply Chain Management. Our Unique Offerings (a) Technology enabled talent management services (b)  Focus on improving employee productivity via Up-skilling.

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