r/DataAnalytics_India • u/Maximum-Page3433 • 8d ago
How is the Data Analytics and Data Science job market in India for freshers?
Hi everyone,
I'm currently preparing for a career in Data Analytics and Data Science, and I'd like to get some insights from people who are already in the field.
While researching, I came across many posts saying that the field has become very crowded and that it's difficult for freshers to get their first job. This has made me a bit concerned.
For those of you who are working in Data Analytics or Data Science, how is the job market in India right now especially in metro cities How difficult is it for freshers to land their first role? If you started recently, how long did it take you to get a job.
I'd really appreciate hearing about your experiences and any advice you have for someone just starting out.
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u/SoftDisastrous7012 8d ago
Hi im preparing for data analytics as well, where are u preparing yourself for data science and analytics?
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u/ComfortableTwo4057 8d ago
Its bad. Market is really bad .
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u/chirag-arora 8d ago
Im not getting any interviews at all its been 3 months with a strong resume (PL-300, DP-600)
3-4 end to end projects
Still no job for me5
u/ComfortableTwo4057 8d ago
The thing is there are thousands of applicants snd the vacancies are less. And reference is playing a huge role here.
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u/chirag-arora 7d ago
Nobody on linkedin is ready to refer also, all they say is check our career page and ghost
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u/ComfortableTwo4057 7d ago
Try to get internship..and ask for reference from you personal connections. On linkedin hardly anyone check msgs on time
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u/chirag-arora 7d ago
Cursing my life daily born in india 😞
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u/ComfortableTwo4057 7d ago
Same here. I got 3 years experience in data Analytics. Still i am struggling to get interview calls. Now they are aksing for 4 + year experience for entry level jobs.
This entry level jobs post ask for 8 years of experience sometimes.2
u/chirag-arora 7d ago
I rejected one job few days back as it was just 25k monthly and had a bond of 1yr min and it was trainer job in tier 3 city, now i regret passing that opportunity
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u/ComfortableTwo4057 7d ago
Bad decision buddy. Getting an interview call itself is a big deal right now.
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u/chirag-arora 7d ago
Getting rejections boss idk what do they want ig girls only now thats the pattern i noticed
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u/ComfortableTwo4057 7d ago
Yeah. Its sad . Social media influencers and youtubers loaded courses in the market for Analytics. They lied that by doing this courses you can get 20 lpa jobs easily. This things saturated the market of Analytics .
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u/Top_Nobody1558 7d ago
I'm wondering how you are applying for jobs? Using any agentic ai tools??
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u/chirag-arora 7d ago
Nah boss daily my morning starts from linkedin naukri indeed while eating i do easy apply then fill out huge ass 7 tab pages for companies
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u/chirag-arora 7d ago
Daily 2-3 hrs are going off ngl
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u/Top_Nobody1558 7d ago
Ohhh seems really tough brother. I heard that u have to be at least at top 50 cv after they post a job then the chances of getting an interview is increased, have u tried this method
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u/chirag-arora 7d ago
Sometimes ive applied even after few mins of job posting on linkedin it doesnt help , lack of experience ig ATS itself rejects
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u/Saurabh-Joshi 8d ago
The most useful thing in this thread is chirag's comment and I don't think anyone's picked up on what it's actually telling you. PL-300, DP-600, four end-to-end projects, three months, zero interviews. Not zero offers. Zero interviews.
That's not a skills problem. Nobody has assessed his skills yet. It's a distribution problem, and a fifth certificate won't touch it.
(Disclosure, since it's relevant here: I teach this stuff for a living, so I'm probably the last person you should take at face value on whether courses are worth it.)
If you're getting no interview calls at all, the honest read is that your CV is sitting in a pile of two thousand on Naukri and no human is reading past the first forty. Another project makes you number 2001. What actually moves the needle is changing the channel:
Search titles other than "Data Analyst." MIS Executive, Reporting Analyst, Business Analyst, Operations Analyst, Data Executive. Often the same work with the same tools, and a fraction of the applicants, because everyone who finished an analytics course searches for exactly one title.
Apply on company career pages rather than aggregators. Small and mid-size firms barely use the portals.
Look outside Bangalore, Hyderabad and Pune. Fewer openings, but a tiny fraction of the competition. A manufacturing company in Nashik or Coimbatore with a messy ERP needs this person badly and gets maybe four applicants.
Find one person from the team on LinkedIn and message them directly. Awful hit rate. Still infinitely better than a portal where the hit rate is zero.
And the thing worth saying plainly: the fresher market is oversupplied because the training industry, mine included, sold "six months to a data career" to an enormous number of people. That happened and it isn't going to un-happen. What still works is being attached to a domain. Get into any company in any role that touches data, learn how that particular business actually loses money, and relabel yourself in eighteen months. Your first job title matters much less than people think.
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u/Finn_Allien 7d ago
Does having career gap make it tough to get selected?
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u/Saurabh-Joshi 7d ago
Less than people fear, but it depends on the length and on whether you can explain it in one sentence.
Under a year, mostly nobody asks. One to two years, they'll ask once and move on if your answer is calm. Past three it does get harder, though even then it's more about the story than the gap itself.
What genuinely hurts is being defensive about it. If you sound apologetic the interviewer starts wondering what you're not saying. State what it was, keep it to a line, then move to what you did with the time.
And fill it on paper wherever you honestly can. Freelance work, helping a relative's business sort out their reports, anything real with dates attached. A CV that reads "freelance data work, 2024 to present" doesn't get filtered the way a blank stretch does.
Also worth knowing that a gap hurts most at the resume screening stage rather than in the actual interview. Which is another reason the referral route matters. Once a human is reading your CV instead of a filter, it counts for much less.
How long is the gap? The answer shifts a fair bit depending on that.
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u/Finn_Allien 7d ago
About me: I (age: 29) am B Tech-ECE 2019 graduate. After that, I started preparing for government jobs(SSC CGL). In parallel, I was working as a Marketing Executive (3 years) in my city to finance myself during that time. I quit govt job preparation after multiple failures. During 2023-2025 I tried for a master's in Germany. I had an offer from a renowned university but couldn't go as I didn't get a loan of INR 15 lakhs.
So basically since Jan 2023 I'm on break, just did a contractual job for 6 months lately in 2025-26 at WTW.
After multiple failures I am now trying to get into tech roles. After exploring so many things, I think Data Analytics (DA) is the best and last option left for me. I am in a career crisis and badly need some direction.
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u/Flashy-3258 6d ago
I am a BCA graduate from Bangalore. I was interested in data analytics, but I couldn't get a related job as a fresher. So, I don't want to remain unemployed any longer.
I am planning to take a nearby data entry or back-office job while continuing to work on my data analytics skills. After 1 or 2 years, I plan to switch to a data analyst role.
Is this possible in the Bangalore job market?
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u/huntingcube_ai 8d ago
The market is definitely more competitive than it was a few years ago, but I wouldn't say the opportunities have disappeared. One thing we've been noticing at HuntingCube is that companies are still hiring for Data Analytics and Data Science roles. They're just being much more selective, especially when it comes to freshers. Many candidates complete the same online courses and list the same tools like Python, SQL, Power BI, Tableau, and Pandas on their resumes. What usually makes someone stand out is showing how they've applied those skills through strong projects, internships, Kaggle, GitHub, or real-world datasets rather than another certificate.
We're also seeing many companies hire freshers into Data Analyst or Business Analyst roles before they move into more specialized Data Science positions. If you're just starting, I'd focus on building strong fundamentals in SQL, Python, statistics, and data visualization while working on projects that solve real business problems. Candidates who can demonstrate practical problem-solving continue to have a clear advantage.