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Data Analyst: Roles and Responsibilities

 

Data is increasingly shaping the systems we interact with daily. Whether you're using Siri, searching for something on Google, or browsing your Facebook feed, you're consuming and generating data. We've reached an era where we generate 2.5 quintillion bytes every day, which is a lot of data. So what to do with this data? Well, this is where the data analyst comes in. So let's take a look at the data analyst roles and responsibilities.

 


Who is a data analyst?

A data analyst interprets data and converts it into information that offers opportunities to improve a company and thus influence business decisions.

 

Data analyst collects information from a vast of sources and understands patterns and trends – so a job description of data analyst should spotlight the analytic nature of the role. Once the data has been collected and understood, he reports what was found in a comprehensive company-wide study.

 

 

What should a data analyst job description include?

Data analysts frequently make advices about the methods and mean an organization uses to acquire and analyze data to upgrade the quality and effectiveness of data systems. A data analyst's job description should include, but not be limited to:

  • Data collection and interpretation
  • Results analysis
  • Report results to relevant company members
  • Recognize patterns and trends in data sets
  • Work with teams within the company or with the management team to identify the company's needs
  • Define new data acquisition and analysis processes

 

Skills and qualifications a data analyst should have:

Studying the following subjects is an advantage when starting your career in data analysis:

  • Mathematics
  • Computer
  • Statistics
  • Economics

 

Several qualities can be expected of a candidate to succeed in the data analyst role:

  • Experience with report packages and data models
  • Ability to analyze large data sets
  • Ability to write comprehensive reports
  • Excellent oral and written communication skills
  • Analytical mind and propensity for problem-solving
  • Attention to the details

 

 Skills required for the data analyst role:

  • Relationship Skills
  • Interpersonal Skills
  • Problem Solving Skills
  • Punctuality
  • Critical Mind
  • Teamwork And Collaboration Skills
  • Adaptability
  • Work Ethics
  • Project Management Knowledge

 

 

Data Analyst Roles and Responsibilities

Depending on their experience, data analysts may have the following roles:

 

1. Determine organizational goals:

One of the first and most important functions of a data analyst is to determine the organization's purpose. This includes working with:

  • IT Teams
  • Management
  • Data Scientist

 

2. Mining Data

Data mining is a process of structuring raw data and formulating or recognizing different patterns in the data with the help of mathematical and computer algorithms. It helps to generate new information and spark different ideas. Data analysts often need to extract or collect data.

 

Retrieving data from the company's database or extracting data from external sources to conduct any type of research is one of the most important tasks of any data analyst.

 

3. Data cleaning

Data cleaning is the first step in the entire data preparation process and includes analyzing, identifying, and correcting confusing raw data. When analyzing corporate data to make strategic decisions, data analysts must start with a comprehensive data cleansing process.

 

A good analysis depends on clean data - it's that simple. Cleaning is the process of removing data that might distort your analysis or normalize your data into a single format.

 

4. Data analysis

This function is a must for any data analyst. Data analysis is the art of examining facts from data with specific answers to a given question.

 

It is the process of evaluating data with analytical and logical arguments to examine each component of the data provided. Statistical tools are used to analyze and interpret data.

Various tools and programming languages ​​are used in the analysis.

 

5. Recognize trends and patterns

Data analysts look for short-term and long-term trends. Trend analysis helps you know your company's performance and forecast where current business operations and practices will take you. Very well, you will get ideas on how to change things to get your business in the right direction.

 

6. Generate reports with clear views

 Reports translate raw data into information. Reports help companies monitor their online activity and be notified when data is outside expected ranges. Good reporting should raise business issues with end-users.

 

The ability to tell a compelling story with data is critical to getting your point across and engaging your audience. For this reason, data visualization can have a decisive influence on the impact of your data. Analysts use attractive, high-quality charts and graphs to present their results clearly and concisely.

 

7. Maintenance of databases and data systems

Data analysts need to ensure that the storage, availability, and consistency of electronically stored data meets an organization's needs. The data analyst must have technical knowledge of data models and database design development to get the most out of them.

 

They develop and maintain databases by collecting data from primary and secondary sources and creating scripts that make our data assessment process in datasets more flexible or scalable.

 

This brings us to the end of this blog on the roles and responsibilities of data analysts. I hope you understand the various roles of an industry data analyst. With all these responsibilities, the salary of the data analyst increases faster and faster.

 

Data Analytics Courses in Pune make you an expert in key technologies related to data analysis. This is a structured learning path recommended by leading industry experts that will ensure you become a data analytics expert while also teaching you how to use tools like R, Advanced Excel, Tableau, Python, Machine Learning, etc. Individual courses focus on specializing in one or two specific skills. However, if you want to become a data analyst, this is the way to go.

 

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