What Is The Demand For Data Analysts In 2020


Companies today have comprehended the significance of a data-driven business strategy. 2020 is the year when companies are in dire need of talented individuals for providing the vision into the endless stream of information. The demand for data analysts will simply increase as we continue to digitize our physical world.

Top job profiles for a data analyst in 2020:

  • Operations Analyst: The experts in this field perform the general streamlining processes like distribution, manufacturing, and internal reporting systems.
  • Data Scientist: They analyze and collect data to communicate actionable insights.
  • Quantitative Analyst: They are responsible for data analytics and to look out for risk management problems and financial investment opportunities. 
  • Data Analytics Consultant: They deliver insights for helping businesses to seek potential opportunities.
  • Digital Marketing Manager: Digital Marketing Managers employ tools like Google Analytics and custom reporting tools to analyze the traffic social media advertisements and websites.
  • Transportation Logistics Specialist: The specialist in this domain is employed to identify the most efficient paths for services and products.

Data Analyst Responsibilities:

The basic responsibilities of a data analyst include managing the master data including the process of creating, deleting, and updating data of users and their roles. They provide quality assurance of imported data by collaborating with quality assurance analysts. Data analysts perform commissioning and decommissioning of data sets to develop reports by processing confidential data and information according to guidelines. They also manage the reporting environment like security, data sources, metadata and support the data warehouse by identifying reporting requirements for data normalization and integrity.

Some top skills for data analysts include:

  • Structured Query Language: SQL is the universal industry-standard database language used to manage, relate, and store data into multiple databases or to transform overall database structures.
  • Microsoft Excel: Microsoft Excel covers a lot more analysis power under the hood of its tools including Macros writings and VBA lookups. You can go for online free resources to get a deeper understanding of the tool. 
  • Critical Thinking: Data analysts use the data to find answers by figuring out, uncovering, and synthesizing connections that are not always so clear. You can develop this by following your instincts to help improve your critical thinking skills.
  • R or Python-Statistical Programming: Those are powerful statistical programming languages at par with industry standards. They are used to perform predictive analytics and advanced analyses on big data sets. 
  • Data Visualization: Data is crucial for keeping your audiences engaged and getting your point across the clients. Data visualization can improvise the impact of your data by using high-quality charts, eye-catching graphs to present your findings in a clear way. 
  • Presentation Skills: The best way of getting more comfortable with presenting is to set specific goals by focusing on the audience.
  • Machine Learning: An understanding of machine learning with its concepts and tools is a key component of an analyst’s toolkit. In order to get ahead in the field, you need to possess advanced statistical programming skills. 

Earn a data analyst program to start scanning a job posting for data-driven positions. Focus on the skills necessary for investing and thriving in this field. 

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