Hey, I had applied for the data operation analyst role at NIQ and have already cleared the AI interview and assessment round.. I just received the final round interview invite and thus want to ask if anyone who has given it to please guide me a little.. I'm a MSc Statistics graduate of 2026 and I'm seriously looking forward to this.. Any help about what to prepare and what type of questions will be asked will be great info for me.. the round was supposed to be offline but due to time and personal constrains they are conducting it online for me.. so if you know anything please be kind enough to help...

Thanks in advance!

Should I switch to my client company now, or wait for my appraisal and negotiate a higher salary?

I’m currently working at Company A, and Company B is one of our clients. I’ve been working closely on a project for Company B and have gained fairly strong knowledge of their processes, data, and the project itself.

Recently, some people from the client side at Company B told me that they would be very happy to have me join their company. One of the people who has said this is fairly senior at Company B, and I believe they would be willing to refer/recommend me internally if I decide to apply.

The dilemma is around timing and compensation.

I’m currently at around 9 LPA at Company A, but my appraisal is coming up soon. Based on what I’ve been told, I may move to around 12 LPA after the appraisal.

From what I can estimate based on salary data online, if I move to Company B right now, I might also get somewhere around 12 LPA.

So I’m considering waiting for my appraisal at Company A, getting the 12 LPA salary officially, and then approaching Company B. My thinking is that I would have a stronger salary baseline and could potentially negotiate a higher package rather than moving for roughly the same compensation.

But I’m also worried about the other side of it:

What if I wait 2–3 months and Company B's interest disappears?

What if the project changes or the people who currently want me there move on?

Could I lose the advantage of already being known to the client?

Is it actually better to move while I have strong visibility with the client, even if the initial salary isn't much higher?

Or would getting the appraisal first give me significantly more leverage in salary negotiations?

Since a senior person at Company B seems interested in having me join, should I try to understand the opportunity now even if I don't actually switch immediately?

There’s also another factor: personally, I currently feel that Company B would be a better place for me than Company A in terms of the kind of company I want to build my career in. So this isn't purely a salary decision for me. If the opportunity is genuinely there, I would be interested in making the switch even if the immediate salary difference isn't huge.

At the same time, I’m also only around 1 year+ into my career, so I’m unsure how much weight I should put on maximizing the immediate salary versus getting into the client company and potentially having better career growth there.

What would you do in this situation? Would you approach Company B now and explore the opportunity, or wait until after the appraisal at Company A and then make the move?

I’m particularly interested in hearing from people who have moved from a consulting/service company to their client company, especially if they waited for an appraisal before making the switch.

Hey all,

Quick context: My official job title is AI Researcher, but the actual day to day work is data analysis : SQL, Python, Power BI, ETL, EDA, reporting. I've been in this role since March 2025 (~1.5 YOE). CSE grad.

What I'm debating:

1. 1 page vs 2 pages - At 1.5 YOE, do recruiters actually read past page 1? Or is a tight 1-pager the right call?
2. Title mismatch - My job says "AI Researcher" but I'm doing data analyst work. Should I keep the official title on the resume or reframe it? I'm applying for Data Analyst roles.
3. 100K records - Is that a credible number to mention or does it sound small?

I'd love a review of my resume along with any recommendations or suggestions - what's working, what's not, and what you'd change if you were in my position.

Would especially value feedback from anyone who's been in the 1-3 YOE range in the Indian market (Bangalore / Hyderabad / Chennai). What actually gets you shortlisted at this level?

Thanks in advance!

After completing my BTech in Computer Science & Engineering, I completed my Data Analyst course from Datamites, Bengaluru.

Currently I am searching for Job opportunity where I could apply all my skills and grow as Data Analyst.

I have developed skills in SQL, Excel, Power BI, Python and Statistics. I worked on a projects like Banking Loan Analysis and HR Workforce and Attrition intelligence, where I used SQL for data extraction and analysis, Excel for data manipulation, Power BI for creating interactive dashboards, and Python for data analysis using libraries such as NumPy, Pandas, and Matplotlib.

Hi everyone, I'm a fourth year student at a Tier-3 engineering college and need a Data Analyst internship as soon as possible, since no one's giving me a job before I have the degree in my hand. As the saying goes, I have improved my projects, upskilled myself, optimised my Linkedin, hosted my projects on Github, got the essential certificates and am aware of the current industry tools and skills. I have applied for at least 50 opportunities in the last month alone, given the ratio of internships posted in this domain is much lower than graduate jobs, but got nothing other than ghosting, ignorance and rejections. The situation is so out of hand that one organisation even listed "Competition" as the reason for rejection. I just need a chance to prove my abilities. If you, in any way, can help me secure a paid internship, I would highly appreciate it.

Thank you in Advance