Data in its raw form is of no use unless it is converted into something meaningful to be used in various applications. Owing to the large chunks of data to be processed, the demand for data analysts is on an all-time high and the supply for the skilled workforce is still limited. Hence, an individual with data analyst qualifications can command excellent salaries and perks. A data analyst makes use of analytical tools and methods to extract data. Data can be either structured or unstructured. The job of a data analyst is to analyse, discover patterns, and make better business decisions. Big tech companies need huge volumes of data to be analysed and employ top data analysts for internal business purposes. Is data analysis a good career for you? Read on to know how you can carve a powerful career for yourself when choosing the data analyst career path.
Data Analyst Career Path: Growth and Opportunities
A Bachelor’s or Master’s degree in any of the streams mentioned below is recommended and serves as a foundation to become a data analyst.
- Computer Science
If you are from one of these, then it is an advantage for you. However, even if you are not then you can still learn the data analyst skills from the resources available over the Internet and can make a data analyst career progression.
If you do not have a technical background but still wants to pursue a career in data analytics; what you can do is learn the basics of data analytics and how to apply analysis with the help of the languages such as Python, SQL, and R. Here are some of the industry roles with the average salary offered that you can opt for after taking up a course on data analytics:
- Business Analyst: Once you have surpassed the data analytics training program, you can apply for the role of a business analyst to help organisations work on business strategies and make critical decisions.
Average Salary: Rs. 6,07,209
- Financial Analyst: You can apply for the position of a financial analyst which deals with providing insights about the overall revenue and coordinating with managers to improve sales in a company.
Average Salary: Rs. 4,08,594
- Web Analyst: If you are skilled at visualising data, you can take up a role as a web analyst where you work on a website for providing web analytics.
Average Salary: Rs. 3,54,985
- Data Scientist: A data analyst can make a transition to a career in Data scientist after understanding the job role and building his/her maths and coding skills. Having a sound knowledge of Python/R can help you tackle vast amounts of data helping organisations with the collection and processing of information. Various machine learning models can be applied to extract meaningful insights further.
Average Salary: Rs. 6,98,413
- Social Media Analyst: One of the most emerging careers in data analytics is a social media analyst. With the massive growth of influencers, it is essential to provide them with critical insights. Data analysts can help influencers by helping them target their audience and forming a strategy for maximising reach.
Average Salary: Rs. 3,29,995
According to a report by Forbes, it is inferred that by 2021, around 70% of business leaders in the US would prefer to hire professionals with data skills. Thus, the figures depict a considerable demand for data analysts recently. Top companies are looking for professionals to understand the problems faced in the organisation and explore data in consequential ways. You can check out this blog to know about the top data analytics companies.
How to Become a Data Analyst?
After you have decided to make a career in data analytics, you would wonder what is the next step that you can take to become a data analyst. Here, we are explaining the steps that you can follow:
Step 1: Understand the Role of a Data Analyst
A data analyst is expected to interpret data, turn it into meaningful information, and help the company in making an informed decision. Data analysts come up with innovative ways of analysing data to improve the quality of data systems. Job specifications of a data analyst include:
- Fetching the relevant data from multiple sources.
- Analysing the collected data and converting it to meaningful information.
- Formulating the results of the analysis into a report and providing it to your team.
- Figure out trends and patterns in the data sets.
Step 2: Learn the Skills Required for Data Analytics
Excellent analytical skills are needed to analyse large sets of the humongous volumes of data. There has been a massive demand for data analyst jobs in the industry in recent times. It is tough to step into a data analyst career path without learning the below skills mentioned:
- Structured Query Language (SQL): It is a spreadsheet and computing tool that can handle large sets of data and process information faster than Microsoft Excel spreadsheets. So, the knowledge of Structured Query Language (SQL) is essential for data analytics as it is used widely.
- Microsoft Excel: Most companies usually prefer Structured Query Language (SQL), but some still prefer the reports prepared in the traditional excel file. Knowledge of spreadsheets is always advantageous.
- Critical Thinking: A data analyst needs to think like an analyst to collect data and process it to get useful information as critical decisions of the company depend on this information.
- Statistical Programming Languages: Large data sets can be analysed by using R or Python. So data analysts should be skilled at the programming language.
- Data Visualisation: After collecting and analysing the data, a data analyst needs to make a report of the analysis made. Visuals like graphs and charts are better for representing a report and explaining the results.
- Presentation Skills: A data analyst not only has to prepare a report based on the analysis but also present their findings to the concerned teammates. Proper visual and verbal presentation skills are thus required by a data analyst to explain their interpretation.
- Excellent Communication Skills: A data analyst has to communicate with shareholders, data scientists, IT representatives, and other co-workers as a part of their duty at various stages. Proper communication skills are thus mandatory.
- Data Warehousing: The creation of virtual storage and organisation systems for storing the data of a company is called data warehousing. Data warehousing is also the responsibility of data analysts. Data analysts manage data. They must protect the data and create access to the data for people who need it.
- Attention To Detail: Analysing technical data or any code needs an explicit focus for reading and interpreting it. Thus a data analyst is expected to pay closer attention to details.
- Problem Solving: Data analysts might need to face technical issues in their job. They must be able to solve those problems themselves.
- Research Skills: Data analysts often need to come up with new methods and tools for analysing data. Hence, a lot of research is necessary to introduce new ways of analysing data or to address a technical problem. So a data analyst should be ready to make research whenever required.
- Collaboration: Data analysts are also expected to collaborate with internal and external shareholders. A data analyst should be able to handle these collaborations.
- Project Management: Project management means managing an entire project and every person working in the project. Some data analysts have to manage staff who collect data or other data analysts who are assigned for a project. So project management skills come to good use.
- Writing Skills: After analysing all the information, a report needs to be written explaining the conclusions of the analysis. Excellent writing skills are thus required to create a lucid and understandable report to present to every concerned member.
- Statistics Knowledge: Statistical analysis of a large number of data sets needs to be done by a data analyst to fetch the data relevant to the needs of the company. Having in-depth knowledge of statistics can turn out to be a huge advantage.
- Management Reporting: Observation and findings are required to be prepared in the form of a report after the data analysis is done. The statement is first made and then converted into visuals for a better presentation of analysis results.
- Data Domain Knowledge: Knowledge of the domain where the data belongs to helps to analyse and deconstruct the information quickly. So, having a sound understanding of this area is beneficial.
Step 3: Does the Role of a Data Analyst Interest You?
It is difficult to decide on the right career path for you at first. You need to understand the expectations for the role you are applying for and what skills can qualify you for the same. Also, you need to acquire the necessary skills for the career path that you have chosen for yourself. Here are some tips that you can consider for your data analyst career path:
- Brainstorm: Introspect yourself if you are best suited for the data analyst career path, talk to people already working in the field, and the challenges that are to be faced. Choose a position that will match with your career aspirations.
- Enrol In A Relevant Program: A specific skill set is required to fit in a role. Search for the best career programs where you can learn the necessary skills required for the job. These courses do help you in boosting your job hunt.
- Learn A Programming Language: Learning R or Python languages that are considered to be efficient in data analytics can be helpful as they help in analysing data.
- Start Networking: As you know, your network is your net-worth. Adhering to this adage provides you with ample opportunities after acquiring the required skills. One of the best platforms to build a good network is LinkedIn. You can connect with like-minded people, share ideas, and get to know about relevant job openings in your preferred domain.
You can also go through the common mistakes to be avoided while making a transition to the data analytics career domain.
How can Springboard’s Career Program Help you Choose your Right Career Path?
The program focuses on teaching methods to develop your analytical skills along with the programming languages that can help in the process.
- Innumerable case studies and problem statements and learning frameworks such as HDIEP and 7-step problem solving for structured thinking
- Analysing perspective business problems in various domains such as finance, IT and other domains
- Effective communication strategies to present to technical and non-technical stakeholders including C-suite executives
- Data cleaning and visualisation with libraries such as Seaborn and Matpotlib
- Data wrangling with Python
- Data representation with BI tools such as PowerBI and Tableau
Your mentor will guide you with career planning, job search advice, and interview tips. The program guarantees a job and by the end of the program, the course-taker will be able to apply for his/her dream job.
Springboard offers online programs in data analytics for anyone who is looking to grow their career by enhancing their skills. Enrol now and have a revamped learning experience. So what are you waiting for? Click here to know more to know about the resources which can help you can get a knack on data analytics.