By Vishal Shah, Director, TresVista
“Data is a precious thing and will outlast the systems themselves,” said Tim Bernes Lee, inventor, World Wide Web.
We are constantly exposed to data. From knowing that summer temperatures have risen in recent years to knowing how much we have improved over the years in our outlook on life or numbers, or simply seeing that we have cheated on our diet. This “noticeable trend” is possible with the data we store and analyze, regardless of where it comes from and how it is interpreted.
As a ubiquitous part of every part of our life, technology has led to the creation of data stores, giving businesses the ability to better understand their stakeholders. Whether it’s employees, customers, competitors, investors, markets or even a chance for the future. Data analytics as a career is the start of rapid professional growth to find insights from harmless data entry, data collection, filtering, and analysis.
What is data analysis
Simply put, it is the practice and science of getting information from raw data by analyzing it using algorithms, models, and tools. This information helps decision makers increase efficiency, understand unique customer requirements, and create optimized product offerings. Once collected, a data analyst organizes the data in various modeling applications such as MS-Excel, Tableau, R, etc. to analyze and glean information and make sense of the data.
Data analytics: a fulcrum for organizational change and growth
The study and analysis of data is an ongoing process, making it possible to monitor the health of an organization and proactively identify processes requiring course correction. The data helps to find relevant benchmarks, analyze the movement of desired goals, identify strengths and weaknesses, create action plans, etc. change the career landscape. Industry roles such as data scientists, data analysts, data engineers, business intelligence analysts and data managers (CDOs) are increasingly common, offering compensation compelling and at the same time attractive and stimulating.
The data professional
There are several roles to specialize in when exploring a career in data analytics. Knowledge of data analysis, statistics, data visualization, an understanding of the technical tools involved, and communication skills to explain data interpretations are requirements for anyone looking to embark on a career in IT. ‘data analysis.
- Business Analyst: defines the problem and breaks down the objectives and tasks; the business analyst must understand the business and the associated processes
- Data Engineer: Collect and recover data from multiple sources, extract and store data for easy recovery
- Data Analyst: Correct data inconsistencies and perform primary data analysis, browse data volumes, detect inconsistencies and errors, and clean data for meaningful analysis
- Data Scientist: Characterize, design and make predictions, master data models – the Data Scientist pulls meaningful insights, spots trends and relationships for value-added data interpretations
- Data Visualizer: Communicates key information by creating and using plots, interactive visualizations, charts, graphs, etc.
To grow in the field of data analysis, like any other, an individual must have both professional skills and soft skills. Soft skills allow such a person to interact with colleagues, to be receptive to new information and to disseminate understandable information in an acceptable manner.
- Good communication skills are essential, as are technical skills and love of numbers: the ability to communicate the complexity of data to others in plain language will give you an edge over others.
- The job of a data analyst begins with analyzing yourself; A data analyst can never be happy with the status quo and the results, a successful data professional will continually question everything, it is essential to constantly learn, unlearn and relearn
- Embrace flexibility to be successful. With rapidly evolving technology and analysis mechanisms / patterns, it is vital to be ahead of the curve in embracing change
The proliferation of technology has given rise to new roles, which are increasingly becoming an integral part of organizations in all sectors and sectors. Data professionals are in high demand given the tremendous value they add to the growth and stability of the organization. Thus, a career in Data Analytics becomes both lucrative and full of opportunities.
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