Hi everyone,

I need some career advice.

I've been working at the same company for the last 7 years (currently earning 18 LPA). The biggest challenge is that the company uses its own in-house technology, which isn't really useful outside the organization. The only transferable skill I've gained is SQL, and I'd say I'm quite comfortable with it.

About 3 years ago, I decided to switch to a data-related career. After doing some research, I chose Data Engineering because it seemed like a good fit. I enrolled in a Data Engineering course from Scholarnest Academy, completed it on time, and prepared for interviews.

Unfortunately, a serious medical emergency in my family happened around the same time, so I had to put my plans on hold and never got the chance to attend interviews.

Things are stable now, and I'm preparing for a job switch again. Before I invest the next few months into interview preparation, I wanted to ask people who are already in the industry:

• Is Data Engineering still a good career choice in 2026?
• Is the demand still strong for someone trying to break into the field?
• Or would you recommend considering another role instead?

For context, I have strong SQL skills and I'm currently brushing up on Python, Spark, Databricks, and cloud concepts.

I'd really appreciate any honest advice, especially from people working as Data Engineers or those who recently switched into the field.

Thanks in advance!

I’m posting this because I honestly don’t know what else to do.

My younger brother graduated and has been trying to get his first break in data analytics for months. Every single day he’s applying to Data Analyst, Business Analyst, BI, MIS, Reporting, internships, trainee roles… basically anything that can help him get his foot in the door.

He’s rewritten his resume countless times, built projects, reached out to people on LinkedIn, asked for referrals, and keeps learning new skills. Still, most applications end in silence or an automated rejection.

Lately it’s been really hard watching him. Every rejection chips away at his confidence. He keeps wondering what he’s doing wrong when all he’s wants is one company willing to give him a chance.
The toughest part is seeing entry-level jobs asking for years of experience or expecting skills that seem far beyond what a fresher should need.

If anyone here knows of:
Entry-level Data Analyst roles
Business Analyst roles
Power BI / SQL / MIS / Reporting positions
Internships or trainee programs
Referrals or even someone he could connect with
I’d be incredibly grateful.

I’m happy to share his resume privately.

Sometimes all it takes is one person willing to say, “Send me the resume.”

Thank you for reading.

The skills i know is only two EXCEL & SQL.
And i am also not getting on how to make a project
I am so overwhelmed currently

Can anyone help me out
And give advice to crack a job

Due to some financial issues i need job urgently

I'm a data analyst fresher and I'm curious about the role of machine learning in a data analyst career.

Is machine learning actually required for data analysts, especially for someone with 2–5 years of experience? If yes, how much should we learn? Is a basic understanding enough, or are algorithms, model building, and deployment expected in day-to-day work?

I'd love to hear from working data analysts about what you actually use on the job.

Graduated in June 2026, mechanical engg. No internships, no projects, no work ex. I know the market is rough: AI, layoffs, CS/IT grads overqualified and still unemployed. I’m not being naive about it. But this is the path I want to try, so here I am.

What I have right now:
• Excel and Google Sheets — basics, functional level
• SQL — logically I understand it well, done a decent amount of practice on SQLZoo type stuff, but no actual project to show for it
• Power BI /python— haven’t started yet

No GitHub. No portfolio. No projects, individual or capstone.

What I’m targeting:
Not fixated on “data analyst” specifically. I’d take business analyst, MIS analyst, supply chain analyst, operations analyst — anything with an analyst tag that has some tech + admin overlap. Title doesn’t matter.

When should I start applying? What’s the minimum I need to have before sending out 15–20 applications a day on job portals?

I keep seeing advice like “get 4–5 capstone projects on GitHub, customize resume per JD” : which, fine, I get it, but I’m also seeing people say apply now and learn in parallel. I don’t know which is actually right in this market.

I looked into SAP briefly but it felt like a whole separate commitment and a different domain entirely. Not sure if that’s even worth exploring right now.

Longer term context if it matters:
Want 1–2 years of work ex, then figure out between an MBA (HR or business analytics track) or an MS abroad. Not decided yet. Supply chain analytics feels like a niche where my ME background might actually help — is that a real thing or am I coping?

Genuinely want to hear what worked for people in similar spots — non-CS, non-finance background, trying to break into any analyst role. Internships count too. What did you actually do, what actually helped?

.

Hey everyone,

I'm looking for a remote role (or hybrid if it's a great fit) as a Data Analyst, Analytics Engineer, or Junior Data Engineer basically in a startup or mid level companies.

Skills: SQL, Python, Excel, Power BI, Snowflake, dbt, ETL, dashboarding, and data validation.

I have ~1.8 years of analytics experience and I'm currently upskilling in PySpark, Airflow, and Databricks.

If your company is hiring or you're open to referring someone, I'd really appreciate it. Happy to share my resume via DM.

Thanks! 🙏

I am a fresher with knowledge of Excel, Power BI, SQL, and Python. I have completed data analytics projects involving dashboards, data visualization, and data analysis. Mention that I am actively looking for entry-level Data Analyst opportunities and would be grateful if someone could refer me or share any job openings.

Hi everyone. I’m on notice period right now , I wanted to know which course of career is better for beginner/intermediate level . I have two years of experience as associate consultant in RPA . I’m deciding to switch to Data Analytics field . One of my relatives suggested a course for Data engineering. I feel it’s a bit more difficult than Data Analytics but there’s less competition in that field. And some grind of 3-4 months might land me a job there . But I’m confused. Can anyone please give me advice on this matter.

there are so many webistes and its confusing

So what's the scene w data analysis rn in 2026 and so on, what are employers expecting or is this supposed to die out?

My current duties involve more work on MS word. So it is a mismatch. Hehe I want to switch.

So i can't to btech I am from pcb background a year ago i dropped neet and started analytics did an internship and now have 1k followers and 500+ connection on linkdin.

Now it's time for me to choose a degree pls suggest what's better bba + analytics

Kr bca + analytics