5 Step Guide on How To Get Ahead in Business Analytics Career

Did you know that the Business Analytics job market is exploding at all ends? The current demand growth for a top quality business analyst is at an all time high, an average rise of 14% every year at the moment. If you are looking to specialize in data science, opting for a business analytics training course might just be the best choice for you in the current circumstances.

In this article, I have summarized five important steps on how to get ahead in the business analytics career.

Target Automation and AI as Core Specializations in your BI Journey

Business Analytics has always been a very important job domain in the technology market. Thousands of well qualified MBA and BBA graduates eye the coveted role of a business analyst in the leading MNCs and startups. According to the various job trends survey results, data science and business analytics lead the pack of the most popular job profiles in 2020. The trends show the future is bright for business intelligence groups who use AI and data science projects to stay competitive and enable their organizations with some really powerful cost-saving ideas, especially now when the economy is under serious turmoil and speculations of recession are running so high.

Choose a Great Trainer or Mentor

A great data analyst was once a smart student who acquired all the valuable knowledge from the leaders and mentors in the BI domain. The ways and means of learning in the BI world might have changed significantly with the arrival of online courses, but the lessons still remain the same. Working with experienced and certified business analytics trainers and mentors equip you with smart strategies that come in handy in difficult projects, such as determining the best product for a particular region, or pricing strategy for the products from different groups, or simply optimizing the cost of the project in order to control the slacking sales numbers.

Best data science analysts use data to constantly keep a track of their company’s future aspirations and pursue goals that help them stay ahead of the competition.

A smart analyst invariably becomes a great mentor in the future, which is again a very prolific career opportunity beyond corporate BI.

Start with A Data Science Project

The recent advancements in the AI ML and Data Science invariably make business analytics training courses so much more attractive to the current crop of IT and Business Development professionals. In a recent survey, a majority of C-level executives from companies earning 1 billion annual sales stated that investments in data-driven business intelligence and digital transformation are their immediate goals. These involve either acquiring startups heading data science research, or acqui-hiring small businesses that have less than 15 employees but all are strong BI analysts. Over 90% of CEOs would prefer to hire analysts with a solid foundation in AI ML projects earned from reputed business intelligence training courses.

Look out for the top 50 data science projects to zero onto the best career options.

Learn Data Management Skills

A lot has changed in the BI world since the arrival of Software-based Data Visualization techniques.

Companies like Microsoft PowerBI, IBM, Salesforce, Mulesoft, Tableau, Looker, Sisense, and AWS are constantly adding new products, solutions, and enhancements to their Data management suite.

Getting ahead in the race to earn the top BI jobs would require you to get hands-on experience in managing and building customizable, responsive, and automated BI dashboards that are packed with robust features such as Predictive and Prescriptive intelligence, Collaborative decks, Conversation Analysis, and Augmented intelligence. High-end BI decks also have highly granular search and NLP-based features that help BI teams to make the best decision with the management at times of crisis or business meltdowns, such as the ones we witnessed at times of a pandemic lockdown and geopolitical crisis.

Your data management skills will prove to be a valuable asset in such testing times.

Domain Expertise

Common BI-enabled roles are spread across the organizations. An analyst with solid data science knowledge and verifiable domain expertise can also take on these roles -

Product Marketing

Head of Business Intelligence

Head of IT and Corporate Data Governance

HR Manager - IT and Business Analytics

Director of Marketing Intelligence Research

Chief Information Officer / CEO/ Chief Strategy Officer

It’s not surprising to note that 65% of analysts would go on to start their own product or services driven company in the future.

Saajan Sharma likes to read and write actively on upcoming HR trends and how HR is reshaping the business landscape. He likes to help businesses stay informed and up to date with established and emerging technologies like Payroll Software, SAP, etc.