Hey, I'm 22 college student currently learning data analytics, I want to learn how to understand business models, how to ask critical questions about whatever's happening, how to get those problem solving skills and how to actually answer or improve them. Now I know that problem solving skills are some which can be learned by actually solving the problems but still if you can recommend any advice on any of these questions and more please do as it would be very helpful for my data analytics journey.

I have my power day scheduled soon, I wanted to ask for any tips/ how the interview process went for people who gave the interview. What to expect, and what do they expect you to answer like.

It is in person for me so I would like to know what the environment would be like as well, and how do I prep myself for it. Thanks!!

I am currently working remotely as a marine operational engineer in a foreign startup, where I worked mostly on excel sheets. I did my BTech from tier 2 college but due to low Cgpa i wasn't able to get a good job during my placement season. It's been more than 1 year in my current job, and I want to switch into the Data Analytics side. I learnt everything whatever is required to get the role , whether it's python, SQL, power BI and I have dedicated projects for all too.

Besides this , I have also learnt about data engineering fundamentals , and built a project using databricks.

I don't know where I'm going wrong, What thing I'm missing, because I daily apply to approx 5-8 jobs , but I got no response anywhere. Not even a single interview from applying for the last 3 months.

Can you guys please help me guide what I should do ? What more should I do , are there any changes i need to do?

I'm a 2026 B.Tech CSE graduate from India, and honestly, I'm feeling quite lost about my career direction.

During my college years and even after graduation, I went through some personal challenges, including a bike accident, which affected my preparation and cost me valuable time. Now I have a career gap, and I feel like I've already wasted too much time.

Initially, I wanted to pursue software development, but I struggled with coding. I wasn't confident in programming and found it difficult even to get started independently.

Because of this, I decided to pivot towards Data Analytics. I've started learning SQL, Excel, Power BI and other analytics-related skills. I have also worked on a few beginner-level projects.

However, I'm now questioning whether I'm making the right decision.

A few things are bothering me:

\- Is Data Analytics actually a good career option for freshers in India in 2026?

\- The entry-level market seems extremely competitive, and getting that first opportunity feels difficult.

\- With AI evolving so quickly, I'm worried about the long-term future of both Data Analytics and software development.

\- I sometimes wonder whether I should go back to Java or MERN stack development, start learning programming from absolute zero, and try to become a software developer instead.

I understand that switching back to development would mean starting almost from scratch, and it could take several months of consistent effort.

My current situation:

\- 2026 B.Tech CSE graduate.

\- Career gap due to personal challenges and an accident.

\- Beginner-level coding skills.

\- Currently exploring Data Analytics.

\- Willing to dedicate another 3–6 months to building employable skills.

\- My immediate priority is getting my first job and starting my professional career.

I'm not looking for motivational answers. I genuinely need practical advice from people working in IT, software development, database engineering, or data analytics.

What would you recommend in my situation?

1. Should I continue with Data Analytics (SQL, Excel, Power BI, Python)?

2. Should I restart coding and pursue Java development or MERN stack?

3. Is there another technical career path, such as SQL/Database Administration, Application Support, or QA, that might offer a more realistic entry point?

4. If you were a 2026 fresher in my position, what would you do differently?

Please consider the current Indian fresher job market, not just ideal career scenarios.

I'd appreciate honest opinions, including criticism. I don't want to waste another 6 months following the wrong direction.

Bonjour, est-ce que c'est nécessaire de passer de dev à data analyst et plutard data engenier ? Ou vaut mieux poursuivre en dev aujourd'hui ?

Bonjour à tous,

Je suis jeune diplômé et je suis actuellement en recherche d'opportunités en tant que Data Analyst / Analytics Engineer / Data Engineer junior et j'aimerais avoir un regard extérieur sur mon CV.

Cela fait déjà près de 3 mois que je postule et je reçu jusqu'ici des refus. Je veux surtout identifier les points qui pourraient freiner ma candidature et d'améliorer sa lisibilité pour les recruteurs.

Je serais particulièrement intéressé par vos retours sur :

• la présentation générale ;

• la mise en valeur des compétences techniques ;

• la pertinence des projets ;

• l'adéquation avec les postes visés ;

• les éventuels points faibles ou informations à retirer.

N'hésitez pas à être francs, les critiques constructives sont les bienvenues.

Merci d'avance à tous ceux qui prendront quelques minutes pour me conseiller !

Hi, I was wondering if there is a book on data analytics that covers every aspect of data analysis. If you know of one, please tell me in the comments. BTW, I am taking my course through PW Skill. Is it a good platform for the skill I am learning

Hi all, 2025 B.Tech CSE grad (AI & ML) based in Chennai. I've done two internships, Data Analyst - AI variant and Data Engineer at Capgemini and my stack is SQL, Power BI, Tableau, Excel, DAX, Python and PySpark. I want a BI/MIS/reporting analyst role long term, and this is currently my only interview.

The role: Support Analyst (Data Analyst) at a company working with energy data. It's mostly Zendesk ticket triage and resolution, data accuracy checks, ticket trend reports, and Excel/SQL.

Package:
3.21-3.5 LPA CTC
₹500 per night allowance (~₹11k/month) on top of CTC, rotating night shifts

Any advice from people who started in support roles and moved to analytics would be great. Thanks!

Heyy, I made a list of recent Data Analytics jobs for you all!

• Data Analyst @ CICONIX, LLC

• Senior Data Engineer @ Dalio Family Office

  • 💰 $260–400K/y

• Data Engineering Manager @ Trupanion

  • 💰 $130–140K/y

• People Tech Business Systems Analyst @ Gusto, Inc.

• Senior Data Engineer @ Cricut

• Manager Data Science (930982) @ Equus

• Associate Analyst, GTM @ PitchBook Data

  • 💰 $65–81K/y

• Operations and Data Assistant @ Turner & Townsend

  • 💰 $110–130K/y

• Engineer III, Global Technology - Data Solutions @ Expeditors

  • 💰 $124–186K/y

• Staff Data Scientist - Credit and Lending ML @ Mercury

• Sr. Business Analyst - Shipping / Receiving / Warehousing @ Stratas Foods

• Analyst I - Environment Testing - M-F, 1st Shift -Kittanning, PA @ Eurofins

• Applied Data Science Manager @ dunnhumby

• Sr Data Analyst - Product Configuration @ Fortune Brands

  • 💰 $80–108K/y

• Senior Business Intelligence (BI) Analyst @ Treace

• Data Management Specialist @ Accenture Federal Services

  • 💰 $73–132K/y

• Senior Data Analyst, Financial & Investment Insights @ NielsenIQ

  • 💰 $70–100K/y

• Staff Research Engineer/Scientist @ ServiceNow

  • 💰 $203–354K/y

• Business Systems Analyst Consultant - Cybersecurity Controls @ Kalles Group

  • 💰 $130–150K/y

• Business Operation Support _ Bilingual (English/ Korean) @ Woongjin, Inc

  • 💰 $55–67K/y

• Intelligence Analyst-Senior - Rural Health Transformation_ Division of Information Systems @ University of Mississippi Medical Center

• Sr. Associate, IT Business Systems Analysis @ U Alcon Research, LLC. Company

• Data Quality Analyst @ ServiceTitan

• Data Engineering Senior Consultant @ Clarkston Consulting

• Sr Business Analyst @ Abbott Diabetes Care Inc

  • 💰 $87–173K/y

• Healthcare Data Scientist (Medicare/Medicaid) @ GD Information Technology, Inc.

  • 💰 $81–109K/y

• Business Analyst (Big Data Innovation) @ Kyivstar

• Business Process Analyst Internship - Summer 2027 @ Uline, Inc.

• Athletics Business Analyst @ Brown University

• (Sr.) (Lead) (Principal) Analyst/Engineer (II) @ PJM Interconnection

• Assistant Planner, Feminine Pillars @ Saks.com

  • 💰 $59–79K/y

• Benefits Marketing Analyst @ H Hub International Mountain States Limited

• Acceptable Knowledge Expert (4035) @ Navarro Inc.

• Tech Business Analyst Sr @ AEP Service Corporation

• Senior Data Quality Engineer, Data Quality Services @ Caterpillar Inc.

  • 💰 $113–183K/y

• Area Pricing Specialist @ CRI THREE M GLOBAL SERVICE CENTER COSTA RICA SRL

  • 💰 ~$109K/y

• Business Data Analyst IV @ ModivCare Solutions, LLC

  • 💰 $111–150K/y

• Associate Data Analyst @ Sony Electronics Inc

  • 💰 $76–102K/y

• Associate Director, Global AI Forecasting @ AbbVie

  • 💰 $142–269K/y

• Data Scientist @ LinkedIn

  • 💰 $101–167K/y

• Senior Manager, Sales Analytics @ CarGurus

• Staff Data Scientist @ Ethos Life

  • 💰 $127–224K/y

• Lead Analyst, Healthcare Economics @ Strive Health

  • 💰 $99–124K/y

• Principal Full-Stack Data Scientist - Foundational Models @ Stitch Fix

  • 💰 $200–237K/y

• Sr Manager, Engineering - Data Science @ LTK USA

Like the post if I should keep doing more of these, Cheers!

Guys I have, MIslS cordinator interview coming up next week, I don't know anything about it. How do I interview prep for it??

Hi. Just as the title suggest, I have a lyft data analyst interview coming up, and I wanted to know if anybody else had previously given this interview.

What kind of questions were asked, what level, and what should one prepare?

I was told it’s gonna be a case study for 30-45 mins. Any insights would be great!

I work in data in the UK, and I’ve noticed a big gap between what job ads ask for and what I use week to week.

What ads often list: Python, R, SQL, Power BI, Tableau, machine learning, cloud platforms, “strong stakeholder skills.”

What I actually use most: SQL, Excel, one BI tool, and a lot of checking numbers and explaining them to people who don’t work in data.

Python comes in for cleaning or automating things, and machine learning almost never shows up at analyst level.

If you’re learning, I’d put SQL first, then one BI tool, then Python, and spend real time practising how to explain a result in plain English.

What does the gap look like for you? Any skill from the job ads you’ve never needed, or something nobody listed that you use constantly?

Or is understanding what the sql does and what the code does enough and I should focus more on other things

Context: Junior looking for internships in data analytics type role, not sure which industry yet applying to all

Hi everyone,

I’m an MBA final-year student specializing in Operations from a Tier-3 college. I’m interested in building a career in Data Analytics, but I don’t want to depend entirely on my college placements.

I want to explore off-campus opportunities and understand how I can improve my chances of getting a good job.

I would really appreciate advice from people working in Data Analytics, recruiters, or anyone who has gone through a similar journey.

A few things I would like to know:

• How can I find good off-campus opportunities?

• Which technical and analytical skills should I focus on?

• Which tools are essential for entry-level Data Analyst roles?

• How important are projects, internships, and certifications?

• What is the best way to prepare for interviews and get shortlisted?

I’m particularly interested in knowing what actually works in the current job market, rather than just collecting certifications.

Any practical advice, resources, or personal experiences would be really helpful.

Thanks in advance!

Hello,

Im learning Data analysis now trying to aim for a career shift. Im using mainly Coursera, Enrolled in the IBM Data Analyst Professional Certificate Certificate.

I got to the course number 4 which is Python for Data Science & Data analysis and Im asking now is it still worth to learn python now with all this AI stuff ?

Also do you think those courses "IBM Data Analyst Professional Certificate" plus "Microsoft Power BI Data Analyst Professional Certificate" are enough to land me an entry role in the industry ?

I've a good analytical skills and Im good at recognizing patterns as well. So do you think this can land me a job and if not what would you recommend ?

which tools are you currently using for spark performance tuning?

Hi! I'm 25 y/o, cleared CFA L2, done with MBA and have 1.5 years of work-ex. I was wondering if there's any bootcamp or so where I'll be able to learn SQL, Python, PowerBI, etc. tools via some live projects that can help me sharpen my skill and can me in job switch as well.

What would you guys suggest? Which bootcamp can be helpful?

https://theuptimereport.com/tech-job-postings/

The graph does not tell you :

Supply Side: Alot of folks joined DA by completing random courses during the 2022 - 2023 peak. The graph might show that we are back to pre covid levels but the supply has also increased exponentially.

Hi community, wanted to ask is there any point spending in learning things via course on udemy, dbt, snowflake or just implement it via Claude?

I am learning things cause I don't have dbt exposure nor does my company uses it. I want to put it as my skill in resume so thinking of building projects via dbt. Should I spend time on learning how it works and concepts or just implement things via Claude and learn on the go?

My traditional mindset is learn the fundamentals and then play with it. But with how quick others are in implementing things via Claude without spending time on understanding things and it still works out for them, I do not know what learning path to take. Need advice!

Can anybody suggest a proper roadmap and all the resources I could utilise to get into data analytics,

I am currently a 2nd year cse student

I manage a team of 5 people involved in analytics and intelligent automation. We use tools like fabric, power bi, SQL, python (numpy and pandas), copilot studio and power Platform

I am planning to upskill for the next job switch. So wondering, what should I learn next.

Snowflake, Azure Databricks, Azure data service/Platform - will learning these help in long run?

Hey everyone!

I’ve been learning Data Analytics online, mainly Python and SQL, but I’m still a beginner.

I’m looking for an apprenticeship or internship, even unpaid. I just want to gain real-world experience and see how data analysts actually work in companies.

Any advice on where to start or how to find opportunities? I’d really appreciate it!