WHAT DOES A DATA ANALYST DO?
Organizations in all industries increasingly rely on data to make critical business decisions—which new products to develop, new markets to enter, new investments to make, and new (or existing) customers to target. They also use data to identify inefficiencies and other business problems that need to be addressed.
In these organizations, the job of the data analyst is to assign a numerical value to these important business functions so performance can be assessed and compared over time. But the job involves more than just looking at numbers: An analyst also needs to know how to use data to enable an organization to make more informed decisions.
Analytics brings together theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives in an organization to make more informed decisions. Experienced data analysts consider their work in a larger context, within their organization and in consideration of various external factors. Analysts are also able to account for the competitive environment, internal and external business interests, and the absence of certain data sets in the data-based recommendations that they make to stakeholders.
A Master of Professional Studies in Analytics prepares students for career as a data analyst by covering the concepts of probability theory, statistical modeling, data visualization, predictive analytics, and risk management in the context of a business environment. In addition, a master’s degree in analytics equips students with the programming languages, database languages, and software programs that are vital to the day-to-day work of a data analyst.
Key Responsibilities of a Data Analyst
The answer to the question “What does a data analyst do?” will vary depending on the type of organization and the extent to which a business has adopted data-driven decision-making practices. Generally speaking, though, the responsibilities of a data analyst typically include the following:
- Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
- Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
- Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
- Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
- Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
Qualification:-B.E/B.Tech/MCA/BCA/Diploma/M.Tech/Any Branch/Any Stream
Skill Set Required:-Machine Learning,AI,Statistics,Maths,R,SAS,Python,Mysql,Oracle,Bigdata,Tablue
Experience:- 0 to 5 Years