–– Business Data Analyst
In today’s world, business has been connected more coherently than before with data. A lot of graduates might be wondering, which career should we choose? Business Analyst or Data Analyst? What’s the difference between these two career paths?
By wording, Business Analyst is more focused on business requirements and Data Analyst is more focused on creating data insights. However, to differentiate these two roles probably will not bring in any business values, yet creating more confusion.
As a new graduate, you could get a better idea about these roles by taking a closer look at the career paths of different types of Business Analyst.
Alongside the trends of digitalization and data management, the market demands of Business Data Analyst will be continuously on the rise. Tech companies that provide software solutions need this position to re-engineer the database and find ways to increase data quality for the corporate users. Customer facing applications running data forecasting on business will need this role to provide more business insights and find solutions to protect data privacy. Traditional industries, such as manufacture, auto-vehicle, and consumer goods, recruit Data Scientists to build data pool to produce customer insights based on IoT systems. The writer has interviewed with professionals from e-commerce, entertainment, and supply chain industries. These sectors might not typically hire large amount of data analysts, but professionals have made good practice in combining data analytics and marketing. From the company’s perspective, boosting sales is always the core of business strategies.
So how to start a career as Business Data Analyst? The skillsets required are as simple:
- Basic skills: SQL, Python, Excel; BI Tools (Tableau/ Power BI/ SAS etc)
- Advanced skills: Machine Learning, Deep Learning, Artificial Intelligence, Modelling
- Data analytics & business insights
- Data storytelling & visualization
Nowadays, interacting with customers and applying machine learning/ deep learning at work are in high demand to generate revenues and increase efficiency and productivity. As new graduate, you could bring into business with refreshing mindsets and cutting-edge analytical techniques.
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