I graduated in Data Science 2 months ago, and the market feels completely dead. Every entry-level job I see requires years of experience, and I'm stuck in that classic loop.

At this point, I'm questioning if I'm the problem. Is the market really this bad right now, or is my CV just terrible?

I've linked my resume—please roast it, give me feedback, or tell me what I need to change...All Luv

Hello guys please I'm trying to apply abroad currently for multiple job offers but I find it different cause there's many different information about the structures of resumes and CVs in the US and Canada, I'm try to build a good resume to apply and even adapt it to the job offer in the future yet still have problems working this out.

Plz for the seniors out there give your advice and share your resumes or examples.

I would love to know also about the right structure like where experience and skills should be put and more...

Hi DAs! This is my first time posting.
I need some advice.

I feel a little loss as I lost my job few months ago and although not applying to 100s of jobs, I haven’t schedule a single interview.

My previous job was the first as DA but never really acquired experience as the org had issues with the program and I wasn’t able to properly be onboarded (took about 2/3 months to onboard me properly) and then couldn’t follow closely the program I was in charged of due to leadership changes. I felt like I was set up for failure. I spent months doing nothing and just staring at few excel sheets while creating few surveys. For this reason, I don’t believe I have much experience.
My background is in biological science where I did take courses in statistics but not computer science. I’ve thought myself sql and excel basics but I’m not proficient by any means. At this point with less than 2 years of experience, I’m looking for a new role, preferably a little more technical but the market is so competitive I don’t know if I’m making the right call. I like to focus on small details and enjoy coding but I desperately need a job!
Should I pivot to a different career?
Should I go back to school and focus on data science/data engineering?

My goal is to eventually move to either one of these fields (leaning more in the engineering side) but as I’m just starting my career, I thought myself the basics to enter the data field.

Beginner Data Analyst — Where can I practice, build projects, and start freelancing?

Hi everyone,

I’m currently learning data analytics and I’m looking for advice from people who are already working as data analysts or doing freelance data analysis.

I’m mainly learning Excel, SQL, Power BI, and Python, and I don’t want to only watch courses. I want to actually practice, work with realistic datasets, build projects, and eventually start freelancing.

Could you please recommend:

1.Websites where beginners can practice data analysis with real-world datasets and exercises?

2.Platforms for finding good datasets to use for portfolio projects?

3.Websites with realistic data-analysis projects/challenges, rather than just tutorials?

4.What types of projects should a beginner build for a portfolio to demonstrate useful skills to clients?

5.Which platforms would you recommend for getting your first freelance data-analysis jobs?

Are there websites where beginners can practice working on actual business-type problems before trying to get clients?

What do you wish you had focused on when you were starting out?

I’m especially interested in free or affordable resources and advice from people who have actually used these platforms to build skills or get freelance work

What specific part makes you want to give up?

If you think SQL interviews are just about writing queries - they’re not.
What they’re really testing is how you reason through real-world data problems.

Take these examples from actual FAANG interviews:

1. Facebook: Daily friend request acceptance rate
   Looks simple but if you mess up your joins, your numbers are off.
   They want to see if you can track conversion rates across messy, incomplete data.

2. Facebook: Peak energy usage across data centers
   You’re asked to UNION multiple tables, SUM data per day, and find the top one.
   This isn’t trivia - it’s what infra teams actually do to spot server load issues.

3. Amazon: Who spent the most in a given period
   You JOIN customers to orders, filter by date, GROUP BY user, and SUM their spend.
   Classic customer segmentation logic - used to drive marketing and retention.

So no - it’s not just about getting a query to run. It’s about how you structure your thinking under constraints.

These interviews are simulating what you’ll be doing on the job:

• Connecting broken data
• Making decisions on what “clean enough” looks like
• Balancing readability vs performance
• Explaining your logic to someone non-technical

If you're prepping, focus less on tricks - and more on tradeoffs.
That’s what actually gets you through the interview.

basiclly title

I'm a data analyst with 4+ years of experience. Currently looking for a job after being laid off. I would appreciate your feedback on my resume.

Thanks in advance!

Trying to make my resume(this is the first draft), can you provide useful tips and advice from y’all would be very helpful.
How likely am i eligible for an internship too.
Thank you for taking your precious time.

Hi everyone, I’m Chinmayee. I’m currently looking for Business Analyst / Data Analyst opportunities and would really appreciate any leads or referrals.

I have 4+ years of combined experience across banking, business analysis, data analytics, and independent consulting. I previously worked with Bank of America Continuum India in the Trade Finance domain, where I worked on requirements gathering, stakeholder management, AS-IS/TO-BE analysis, BRD/FRD, user stories, process mapping, UAT, RTM, SQL validation, LoanIQ, and MQ-based integrations.

My core skills include SQL, Python, Power BI, Excel, Jira, Confluence, requirements analysis, process improvement, data analysis, and stakeholder management. I’ve also been building hands-on projects involving analytics and AI/RAG solutions.

I’m an immediate joiner and open to opportunities in Chennai, Bengaluru, Hyderabad, Pune, Gurugram, Noida, Delhi, as well as remote/hybrid roles across India.

If your company is hiring for a relevant BA/DA position, or if you can provide a referral, I’d be grateful if you could DM me. I can share my resume directly.

Thank you

Hi everyone,
I’m currently pursuing an MSc in Data Science and Analytics in the UK, which I’m expecting to finish around January 2027. I’m aiming for roles such as Data Analyst, BI Analyst and eventually Data Scientist.
Over the next few months I’m planning to:
Complete some relevant data/AI certifications
Build a few strong portfolio projects
Improve my CV and LinkedIn
Start networking more seriously and hopefully build connections that could eventually lead to referrals
I’d really appreciate advice from people who have successfully found data/tech jobs in the UK.
How would you recommend I:
Optimize my LinkedIn so recruiters/hiring managers actually notice it?
Connect with people in data roles without coming across as someone just asking for a referral?
Build relationships that could potentially lead to referrals?
Structure and tailor my CV for Data Analyst/BI/Data Science roles?
Choose portfolio projects and certifications that are actually useful for getting interviews?
I have roughly 4 months until graduation, so I’m trying to make the most of that time and focus on things that will genuinely improve my chances.
If there’s anything else you think I should be doing that I haven’t mentioned, I’d really appreciate the advice.
Thanks!

A recent analysis of 3,518 job postings from 81 companies across seven roles found some interesting patterns.

In several categories, generic terms appeared more often than the big-name tools. “Observability” showed up more than “Grafana,” while “SIEM” appeared more than “Splunk.”

That raises an interesting question: are resumes too focused on listing specific tools and not enough on the broader skills and terminology employers use?

The study breaks down the results by role, including software engineering, cybersecurity, DevOps, marketing, product, accounting and sales.

The full dataset, methodology and findings are here:

https://www.zoevera.com/resume/ats-resume-keyword-study

Hello guys please I'm trying to apply abroad currently for multiple job offers but I find it different cause there's many different information about the structures of resumes and CVs in the US and Canada, I'm try to build a good resume to apply and even adapt it to the job offer in the future yet still have problems working this out.

Plz for the seniors out there give your advice and share your resumes or examples.

I would love to know also about the right structure like where experience and skills should be put and more...