Data Analyst Job Description: Responsibilities, Skills Required, and Top Companies Hiring

Data has forever disrupted how we interact with machines and communicate with individuals in the past decade. Globally, about 2.5 quintillion bytes of data are generated every day, made up of YouTube videos, emails, text messages and multimedia messages. Both small and large enterprises today have enormous volumes of data inflow. Most of this data is only as valuable as the insights that these businesses can glean from it. This is where data analysts become relevant. A data analyst analyses and interprets statistical data, transforming it into actionable insights that can aid in real-time business decision-making.

Businesses today are becoming more and more dependent on datasets and insights. Insights help key decision-makers to make data-driven decisions such as which markets they should venture into, which products they should produce more, which investments will pay off and the customers they should target. Data also helps businesses in identifying opportunity areas that must be addressed.

Consequently, data analysis is among the most in-demand roles in the world today. Data analysts are being headhunted by the largest businesses across the world. If you are interested in a career that will withstand the disruptions expected in the coming decade, this is an opportunity you wouldn’t want to miss.

Job Description for Data Analyst Professionals:

Are you looking to take up a data analyst role in your career? Take a look at some responsibilities that this role comes with.

  • Use data analysis tools for data extraction from various data sources.
  • Remove wrong or corrupt data.
  • Perform quality analysis tests on data.
  • Manage and develop databases.
  • Create database processes and systems to manage data.
  • Filter existing data based on the requirements of various stakeholders.
  • Use statistical tools and data analysis to predict market trends and share actionable insights.
  • Prepare detailed reports based on analysed data to forecast predictions and trends.
  • Work with various members of the team to stay updated on data management systems and processes. This includes the technical, operations, product and engineering teams.
  • Manage Exploratory Data Analysis projects and identify patterns.
  • Understand MS Excel thoroughly along with Macros and VBA.
  • Be proficient in statistical tools such as SAS and SPSS along with various other tools depending on project needs.

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Key Skills a Data Analyst Should Have:

  • Collecting, measuring, organising and analysing data requires strong mathematical skills
  • Understanding of SQL, R, Oracle, Python and other programming languages
  • Technical experience working with data models, database design development, segmentation and data mining techniques
  • Experience with reporting package handling, including databases, business objects and programming (XML, ETL or JavaScript frameworks)
  • In-depth understanding of statistical packages and statistics used to analyse datasets.
  • Fluent with the workings of platforms for data processing, such as Apache Spark and Hadoop
  • Data visualisation software knowledge including Qlik and Tableau
  • Knowing how to apply and create accurate algorithms for datasets to identify solutions
  • Problem-solving capabilities
  • Attention to fine details
  • Solid understanding of report writing, making presentations and querying
  • Ability to work in a team
  • Strong written and verbal communication skills
  • Industry experience specific to data analysis

Qualifications of a Data Analyst:

To become a successful data analyst, technical experience alone is not enough. Earlier, requirements included an undergraduate degree in an analytical or statistical subject like statistics, mathematics or economics. Even today, students with this background have an edge over the competition. Alternatively, you could also choose a postgraduate degree or a skill-based certification. Skill-based certifications have become immensely popular these days as they cover all data analyst roles and responsibilities. 

In addition to your technical skills, you also need soft skills like:

  • Critical thinking capabilities
  • Presentation and communication skills
  • Using a logical and systematic approach to solve problems
  • Team skills
  • Creativity

Data Analyst and Related Roles - Salaries:

Data analyst is just one of the roles in the vast data analytics industry. Take a look at the top job roles that use data analytics. The salaries provided have been shared from LinkedIn (USA) and Glassdoor (India).

Data Analyst - USD 41,600 - 93,600 / Rs. 3,00,000 - 12,00,000

Analytics Manager - USD 78,000 - 150,000 / Rs. 9,00,000 - 31,00,000

Business Analyst - USD 50,000 - 97,200 / Rs. 3,00,000 - 15,00,000

Data Architect - USD 80,200 - 170,000 / Rs. 11,00,000 - 34,00,000

Data Engineer - USD 65,000 - 140,000 / Rs. 4,00,000 - 19,00,000

Database Administrator - USD 48,000 - 120,000 / Rs. 3,00,000 - 15,00,000

Data Manager - USD 41,600 - 144,000 / Rs. 3,00,000 - 30,00,000

Statistician - USD 55,000 - 128,000 / Rs. 3,00,000 - 19,00,000

Research Analyst - USD 41,600 - 85,000 / Rs. 2,00,000 - 9,00,000

Research Scientist - USD 60,000 - 160,000 / Rs. 4,00,000 - 28,00,000

All of the figures given above provide the approximate salary range that is accepted as the standard across most data analytics companies. They vary based on location, experience, organisation and skills among other factors. There are huge opportunities for growth and easy ways to reach new heights through several role-based certification exams. 

You May Also Like: What Does a Data Analyst Do? 2022 Career Guide

The Difference Between Data Analysis, Data Science and Business Analysis:

Several roles require the same or similar skill sets. Three such roles are a data analyst, business analyst and data scientist. However, their primary differences can be seen in how each role uses data. 

  • Data analysts serve as gatekeepers for enterprise data. Their efforts allow even non-technical stakeholders to interpret complex datasets and make strategic data-driven decisions. This role is highly technical and demands a complete degree in data analytics, science, computer modelling or mathematics. 
  • Business analysts play a more strategic role. They focus on utilising data that data analysts uncover for problem identification and solution proposals. Generally, business analysts have degrees in economics, business administration or finance.
  • Data scientists enhance the data visualisations that data analysts create by going a step higher. They go through the data in an attempt to find weaknesses, opportunities or even trends within an enterprise. Data scientists also require a degree or background in computer science or mathematics, besides human behaviour studies that help in making educated predictions.

In small data companies and new startups, data analysts generally take up some of the responsibilities that usually are assigned to data scientists. This includes decision-making or predictive modelling, for example. 

Also Read: Data Analyst Salary in United States

Why Should You Choose a Data Analytics Certification Course on Koenig:

  • Koenig brings you data analytics courses and certifications from Cloudera, Microsoft and other leading vendors in one place.
  • Get expert data analysts as trainers with real-world experience that helps candidates understand how important data analytics is for streamlining business processes.
  • The course study material for data analytics is curated by experts in the industry with holistic knowledge regarding data analysis.
  • Join live online Data Analytics training from Koenig which is an accredited partner for training to both Cloudera and Microsoft. 
  • Get convenient schedules for students and working professionals allowing for 4-hour and 8-hour training slots for your Data Analytics course.
  • Earn an industry-acclaimed certification on completing a Data Analytics course from Koenig. 
  • Future-proof your career with Data Analytics and start a career journey that is both rewarding and enriching. 

We are now in the new normal, where most consumers have moved online and data is generated from a multitude of sources. Fill the gap in the market and expand your horizons by enrolling in a Data Analytics certification course today.

Armin Vans
Michael Warne is a tech blogger and IT Certification Trainer at Koenig Solutions. She has an experience of 5 years in the industry, and has worked for top-notch IT companies. She is an IT career consultant for students who pursue various types of IT certifications.

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