The 4-step process to land a job in data analytics
The data analytics job market has been very lucrative for most people around the world since the past few years. As companies around the globe are improving their data infrastructure, more jobs are likely to be created in this field.
Since the terms data analytics/data scientist has become a buzz word and a lot of people are sharing content, it becomes an information over load for job seekers when they search for the right content on the internet. Hence, in this article I’m trying to give a concise 4 step process to secure a job in data analytics.
So if you’re a fresher out of college recently or a professional looking to switch your career, this article is for you.
These are the 4 steps that helped me land a job in data analytics.
1) Learning
Developing your analytics skills starts with learning relevant tools. I started with Excel, which helped me lay a good foundation followed by Power BI and SQL. I’m planning to add more tools to my skill bucket, as one needs to be up to date in tools to stay relevant in this field.
I learned all the tools using 100% free resources available on the internet. I was able to connect the dots between different resources and understand the concepts and practice them. If you’re a beginner and find it difficult to learn by yourself, then I’d recommend you choose paid courses that provide a structured learning experience.
2) Project Portfolio
This is the critical and differentiating factor in landing an analytics job. Building a project portfolio helped me portray the skills I gained during the learning process to the World. I did 2–3 projects for each skill and created a Portfolio link using Linktree. Having a Github profile is a big plus.
I made sure the projects demonstrate an intermediate level of each skill. A person having a project portfolio will stand out compared to others applying for the same job.
3) Resume
Having a well-crafted resume is an absolute necessity to be shortlisted for good analytics jobs. I created 2 types of resumes while looking for a job:
a) Human-readable resume
These can be created using colorful templates available in Canva or other such apps. This will be visually appealing as well as deliver your profile to the reader. This resume should be used while applying for jobs at small companies/startups or referrals where HR personnel manually screen the resume.
b) ATS resume
Big companies have ATS systems that automatically screen the first level of the resume. Hence, it’s better to create an ATS resume with relevant keywords. You may refer to various internet resources to create an ATS resume.
The important point to note here is that both resumes should contain relevant content for the job you’re applying. You must add your project portfolio link and LinkedIn profile link to your resume. Also, it’s better to personalize the resume for each job you’re applying to. It may take 10–15 minutes of your time, but it’s worth a shot.
4) LinkedIn
The 21st-century job market landscape has been drastically optimized by LinkedIn. Irrespective of any industry you’re working in, it’s highly recommended to have a LinkedIn presence. Especially for analytics jobs, it’s essential to have a fine-tuned LinkedIn profile.
You can add your experiences, demonstrate your projects and share your certificates to portray your credentials. Also, you can follow people posting content related to analytics. You can connect with the right people and learn from their experiences.
Conclusion
Following these 4 steps helped me get interview calls and I sincerely hope you will find this useful at the beginning of your analytics journey.
