Data, data everywhere, but we do not know which one is valuable. To get insights from this massive data, organizations need qualified professionals— data analysts. The job role of a data analyst is to process the assorted data about the customers, products, or goals of the company, making it appropriate for the decision-makers. The information gathered by the data analysts enables companies to customize their products for the customers, define marketing strategy, and make significant improvements to the production process. Be it entry level data analyst jobs or senior-level, you’ll always have to deal with data. This article will shed some light on how you can get into entry level data analyst jobs and whether a fresher can become a data analyst. Let’s learn! 

Entry Level Data Analyst Jobs

If you are a graduate in a data analysis program and have a good GPA, you can easily land into entry level data analyst jobs. Someone who has no specialization in data analysis, but has a degree in Mathematics, Statistics, or Economics can also get entry-level data analyst jobs.

Most entry level data analyst jobs at least require a bachelor’s degree. However, having a master’s degree in data analytics is advantageous. Most people from technical backgrounds start at entry-level positions such as a statistical assistant, business support analyst, operations analyst, or others, which provide them valuable on-the-job training and experience. But, what skills can fetch you an entry-level data analyst job? Let’s find out the skills required for entry-level data analyst jobs. 

  1. Basic Understanding of Microsoft Excel: To get into an entry-level data analyst job, you should be acquainted with Microsoft Excel. Categorizing data and calculating numbers are among the significant tasks of a data analyst. Hence, it is helpful if you are comfortable using Excel.
  2. Good Knowledge of Statistics: One should be well-versed in Statistics and distributions, which are crucial in data analysis. You need to have a good hold on inferential and descriptive statistics, binomials and tests, and experimental and statistical design for an entry-level data analyst job. 
  3. A Strong Hand in Mathematics: Data analyst communicates in numbers. Hence, you need to have an understanding of different types of mathematical operations. The entry-level job requires translating word problems into mathematical expressions. Also, you should be an expert at solving algebraic expressions, multivariable calculus, and varied types of functions. 
  4. Familiarity with Machine Learning: Linear algebra and multivariable calculus are the foundation of machine learning, which enables data professionals to make accurate predictions. You should learn about the three important types of machine learning – supervised, unsupervised, and reinforcement learning. 
  5. Grasp in Programming languages: Programming ability is crucial in the domain of data analytics. As a data analyst, you should have the knack to interpret data using programming languages. For an entry-level data analyst job, you should be at least proficient in one programming language. However, the more languages you know, the better it is. Some of the programming languages that are significant in data analysis are SQL, Python, R, C++, Java, MATLAB, and PHP.

Top 5 Entry-Level Data Analyst Jobs

Today, several employers are hiring professionals for data analyst jobs across the globe. Below are the top 5 entry-level data analyst jobs worth knowing about.

  1. Operations Analyst: Usually large companies hire operations analysts. The job role of an operations analyst includes working on in-house reporting systems, managing product manufacturing and distribution, and the overall restructuring of business operations. Operations analysts can work in various industries and their salary can vary widely. In India, the average salary for an entry-level operations analyst is ₹2,50,239.
  2. Quantitative Analyst: The job of a quantitative analyst is to study market statistics to develop analytical software and quantitative models. Quantitative analysts work in collaboration with Mathematical professionals, improving trading protocols and maximizing their business profit. The median salary for an entry-level quantitative analyst in India is ₹7,50,000.
  3. IT Systems Analyst: The responsibility of an IT systems analyst includes designing systems to resolve challenges in the IT space. Some systems analysts employ third-party tools to test software while others develop new tools based on their understanding of data analytics. An entry-level IT systems analyst in India makes an average salary of ₹2,81,354.
  4. Healthcare Data Analyst: Healthcare data analysts help doctors and scientists in finding solutions to the problems they face on a regular basis. The healthcare industry is producing huge volumes of data and with the increasing regulatory standards on how data should be stored and processed, the demand for skilled healthcare data analysts is rising.
  5. Data Analytics Consultant: A data analytics consultant provides insights into a company, helping their business. Data analytics consultants can work for more than one organization at a time and can also work remotely, which is an interesting aspect of this role. In India, the average salary for an entry-level data analytics consultant is ₹6,83,000.

In India, an entry-level data analyst’s average salary is ₹ 13,417 per month if he/she is familiar with all the above-mentioned skills. According to Analytics India Magazine, 76% of the analytics professionals are under the salary band of 0-6 Lakhs at their entry-level. However, looking at the rise in the number of freshers in the data analysis domain in India, it is a well-known fact that data analysts are in high demand. While the number of freshers aspiring to be a data analyst is growing, they are finding it difficult to start their career from ground zero. Let’s dig into how freshers can kick-start their data analyst career.

Can a Fresher Become a Data Analyst?

It’s challenging for a fresher to get his/her first job in any field. When it comes to data analytics, the question that many freshers today seek answers to is – can a fresher become a data analyst? The answer is yes. A fresher can become a data analyst if he/she learns the tricks of the trade and work on honing the required skills. To get on the right track, freshers need to strategize on how they can outshine in the field and keep pace with those who already have relevant experience in the area. 

As a fresher, you need to take into consideration the aspects mentioned below to jumpstart your data analyst career:

  1. A Bachelor’s Degree in Computer Science, Information Technology, or Statistics is Must: If you are a fresher, it’s essential for you to have a bachelor’s degree in Computer Science, Information Technology, or Statistics to think about a career in data analytics. Also, you can enroll in Computer Science classes that focus on project management and database management. You can also interact with an advisor or career counselor who is acquainted with a data analyst
    career path and can guide you in achieving your goal.
  2. Participate in Data Analytics Internship Programs: It is difficult to get into data analyst jobs if you are a fresher. Intern while you are in school to gain valuable experience, it will help you learn the different skills required for the job. Due to the massive demand for data analysts, there are tremendous data analysis internship opportunities. You can work as an intern to gain the relevant work experience, which would add a star to your resume. Take training programs for learning analytical software and big data management. You can take up massive open online courses (MOOCs) to continue learning new concepts relevant to data analysis, which can help you stay ahead of the competitive curve. 
  3. A Master’s Degree or Certifications Can Advance Your Career: A master’s degree relatively offers more job opportunities and ways to shape your career. Companies look for candidates who have diversified knowledge about innovative technologies and tools. A master’s degree in data science, data analytics, or big data management will provide exposure to the latest software. Many universities collaborate with organizations to create internships, assignments, and capstone projects, which provides real-world experience to students while they complete their master’s degree.

Data analytics is a fast-growing field and there are tons of job opportunities for you; all you need to do is perfect your skills. So, keep your eyes on the latest data trends and learn the tips and tricks to succeed. Your knowledge and dedication toward learning will help you rise in the field you choose.

If you want to land yourself in an entry level data analyst job or propel your career as a fresher in data analytics, Springboard can make a truck-load of difference with their Data Analytics Career Track.

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