The importance of training and internship programs is well known. These days just a degree is not enough if you are looking for a good job placement with a considerable salary. However, not many people are aware of the correct path toward landing an internship that can benefit. So here are the steps that can get you to reach your dream internship.
Step 1: Have an online presence
Nowadays every company hires through online platforms like LinkedIn. So if you want to apply for training and internship programs, make sure you have an active online presence on such websites. Create a portfolio and put it up online as a link. Social media can help you know more about the companies in your industry and you may also get notified if they put up hiring posts.
Step 2: research
You cannot end up getting a good internship without proper research and strategy. Search on the net for the positions being offered to data analysts. Look for companies that can hire data analyst interns and note the ones that interest you. Remember to focus on the skills they require and work on getting them.
Step 3: Make a list
When you start looking for an internship, you may find many in the first place. However, not all of them would be in your interest( you may be looking for paid internships or in a particular location). So you should make a list for those that are as per your requirements so that you can apply for them at once.
Step 4: Start filling out the applications
The most crucial part to get an internship is filling out the application form. Before this, go through the requirements of the position and make sure to include those in your resume. Try to avoid generic sentences as they may be responsible for your disqualification. If you have experience, highlight that. However, do not mention that you do not have any experience. Instead, highlight your soft skills. Write resumes individually for every company as it can increase the chances of your selection.
Step 5: Do not lose patience
After submitting the application, it can be overwhelming to wait for a response. Wait for one or two weeks before deciding to give up as the recipient may be busy. After that, you can send a follow-up email to confirm if you are selected or not. If you do not get a positive response, do not lose hope and move towards other applications.
Step 6: Interview
Now that you have been invited to the interview, half of the way is already clear. So for the interview, check out generalised topics and current affairs in the field of data analytics. Be prepared for situation type questions to determine your problem-solving skills. Above all, be yourself and speak with your heart and mind.
What does a data analyst intern do?
The job roles of a data analyst intern can vary from company to company. Here are some of the common responsibilities of a data analyst intern:
- Manage and create reports using various big data tools such as SSRS and Hadoop.
- Updation of websites using HTML, Javascript, CSS and PHP.
- Utilising python to manage investment related data entering.
- Ensure SOX compliance through quarterly audits.
- Using a java script to create dashboards for driver managers.
- Designing the decision support tools through javascript and HTML
Skills required for data science internship
Before applying for internships, it is crucial to know the required skills for the internship so that your application may not be rejected. Here are the major skills required:
- SQL
SQL is the structured query language which is a standard database language. It is the most important skill for a data analyst. It is like the improved version of MS excel.
- MS Excel
Excel is a must. Not just for the data analyst internship position but for most jobs.
- Critical thinking skills
As a data analyst, you may be required to find answers. Thus, you need a level of critical thinking to be able to ask the right questions and find answers.
- Python
Data scientist is nothing with python. Python is important to perform advanced analytics.
- Machine learning
Data science involves great use of Artificial intelligence. Thus, machine learning is a key requirement for data science internship programs 2022.
What type of company offers a data analytics internship program 2022?
For data scientists, there is no need to worry about jobs and internships and there is no particular place to look for work as they are required in almost every field. Here are the categories of companies you can focus on:
- Big tech companies like Google, Amazon, Facebook
- Startups
- Data analytics software providers
- Government organisations
- Non profit organisations
- Global corporations like PwC and KPMG
We hope you got an idea about the steps involved in getting an internship in the field of Data Analytics.
