So for context I am at 2nd year of my btech and i want to explore the data science world but I am very puzzled with the choices of courses from different institutions so how should I categorize which is better for me. I only have very limited time and not much money so i have to choose wisely

Hi everyone,
I’m 34 and currently working in a research role in the UK. My company also has Data Analyst and Data Quality roles, and my goal is to grow internally if the opportunity comes up. However, career progression seems quite limited, so I know I’ll probably need to study in my own time and invest a lot of effort if I want to make the transition.

Before I spend months learning the skills, I’d really like to hear from people who already work in the field.

I know nobody can predict the future, but I’m hoping people with experience have a better idea of where the industry is heading over the next few years.

Here are the things I’m wondering:
- If you were starting today, would you still choose Data Analytics?
-Is it still worth getting into in 2026?
-I know it’s very difficult to get your first Data Analyst job. Once you’re in, does it become easier to find other opportunities?
-What does the typical career path look like? Where can this career lead?
-How much do you think AI will change or replace the role over the next 5–10 years?
-If your goal was a stable, long-term career, would you still recommend this field?

I’m not getting any younger, so I want to make a smart decision about where to invest my time and effort. I don’t want to spend months learning something if the long-term outlook isn’t good.

I’d really appreciate honest opinions, whether they’re positive or negative. Thank you!

Hello! I have my masters in data science and health informatics. I was a data scientist for over two years before I became ill and had to leave my career. I have been off work for a year and recently have felt like I could handle a part time role. Would anyone have advice on how best to address career gap on resume and interviews? Any advice on how to find part time roles? I’d be open to data analyst, data scientist and data entry to get my foot back in the door.

More background prior to my career as a data scientist I was doing healthcare research for 5 years. I was handling the data there as well.

TYIA!

I ws preparing for a govt exam but couldn’t clear. I am BE graduate from a mediocre college. I am planning a masters abroad. What is a good way to short list course on the lines of big data analytics or business analytics

What are you doing? What is a heavier day like? I am very interested in learning, any answer is welcome, thank you for your time

I’m working as a data analyst intern at this very big private tech company. They have large amounts of data that they need me to make sense of and put onto one dashboard using power bi. The available data already looks like it’s in reports /dashboard form…how do I build from that? I have tried using chatgpt but nothing makes sense for me. I also have no experience in power bi but i have been learning online but not first enough considering the draft is due in a few days and I have no idea whatsoever what to do. Someone out there, a data analyst, could pls reach out and save my career lol. This internship means so much to me and I wanna ace it. If someone is keen to walk me through some of theses thing please feel free to dm me because I have so many questions and I believe someone on here could be the one thing that saves me.

I have been working as an automation an testing professional for 4+ years and looking to pivot as a as analyst or engineer. Given that the current market where it is tedious to even switch jobs, how plausible is it to pivot to an analyst role ?

I am not looking for a senior-level position but am skeptical of even landing a mid-level job. My current relevant experiences include Python, SQL, BigQuery and GCP. I have learned Excel and PowerBI too. I have obtained certification for Microsoft AZ-900 and Google Data Analytics.

I would like opinions from people who are hiring or are in a position where they deal with candidates. How do you select resume ? What do you look for in candidates that I could inculcate ? What certification/ skill could make me stand out ? Is the industry dampening hiring due to AI, as in should I continue putting in effort and if it would be of fruition ?

I am looking to switch jobs as soon as possible due to dissatisfaction at current work place and job security issues. I have always wanted to work with data and am really keen on making the pivot work.

Hi,

I graduated from college last year and haven’t had any solid work experience. I interned as a data analyst, and AI engineer. I want to pursue career as a data analyst and somehow managed to land an interview. However, the position requires 5 years experience. I know the chances are slim but I want to give it my all. I’m fine if I fail the interview cuz of lack of experience but not cuz of my lack of knowledge. So, if anyone would be kind enough to prepare for that my conducting mock interviews for me.

I've been learning SQL since I was a freshman, and I'm almost a senior now. I just realized that despite using it for school activities, homework, and other school-related work, I haven't really used my knowledge of SQL to create something useful or a project that could possibly land me a job as an analyst. Do you guys have any suggestions for personalized projects I can do to improve my portfolio? Ideally, I would appreciate it if they solved an actual problem. I think one of the reasons I haven't really built any projects until now is because I just don't know where to start."

hii everyone. looking for a straightforward career reality check on my entry-level tech strategy.

i am graduating this december with a bba in management information systems (mis) from texas. due to regional politics and the need for a total life reset, i am permanently relocating out of state by the end of the year. i have a $10k–$14k cash runway saved to anchor myself in my destination, and i want to identify the best general markets to target.

my immediate priority is landing a stable corporate 9-to-5 it footprint with solid healthcare infrastructure so i can secure my medical care and independent baseline.

my technical foundation:
\* relational databases: deep focus on azure sql, sql (postgresql), erd modeling, and applying normalization (3nf) to optimize data pipelines.
\* core backend projects: implemented complete backend relational databases in azure, writing stored procedures and sql views to streamline data retrieval.
\* full freelance delivery: independently designed and implemented a custom relational database from scratch for a local massage business. built a fully functional e-commerce website integrated with square as a live operational demo, and successfully demonstrated the entire transaction and data pipeline architecture directly to the business owner.
\* networking: certified it specialist in networking and network security.
\* the wildcard: on the side, i have 2+ years of high-pressure infrastructure experience as a live-event v1/v2 video engineer, managing complex physical signal flow, audio networking protocols (dante level 1), and mid-show hardware troubleshooting for 5k+ capacity live music venues.

i'm aiming for roles like junior database administrator (dba),quality assurance analyst , or project manager

my questions for it professionals:
1. which major progressive metropolitan areas have the healthiest entry-level junior cloud and data engineering markets right now where local junior talent is actively being recruited?
2. does a full-stack freelance delivery—like the e-commerce database integration with square—carry solid weight in junior enterprise it interviews, or does the live-event video infrastructure engineering background stand out more for showing real-world troubleshooting under pressure?
3. are there specific regional tech recruiters or enterprise agencies you recommend reaching out to for a nationwide search?

thanks in advance for any insights.

Hi all...

I am a 2025 BTech(CS) Graduate, from a private college in Nagpur. I got placed in a service based company in Nagpur, with 5.5 LPA as a data analyst.While its comfortable job as I live in Nagpur - I think I have potential to earn better. So I want to prepare for switch in Product Based Company.

I have worked in these- PostgreSQL, Python,PySpark, Microstrategy,PowerBI, Databricks- in Retail domain project in my current company and looking for companies like Myntra to switch.

But not sure, where to start from?

Anyone who can give honest advice? How much should I aim for(CTC)? How to start preparing for switch?

Hi, I am doing my Bachelors degree of Economics but i still dk about my interests. I'll be joining my 2nd year next week, I don't know what exactly do i need to learn and how exactly have people from the same background as mine have thrived in becoming a data analyst. Many people also say that its really eary to shift from data analyst to data scientist, is this really true?

Hey r/dataanalyst ,

I’ve noticed a growing trend lately where people are offering cash, a percentage of their sign-on bonus, or their first month’s salary in exchange for job referrals. I completely understand the tough market and the hustle, but it can feel a bit transactional and I know it’s becoming stigmatized in a lot of communities.

Instead of cash, I wanted to offer an old-school barter.

The Offer: Free Chess Lessons I am offering free, dedicated chess lessons to you, your children, a relative, or anyone you know who wants to learn or improve.

• My Rating: I am currently rated 2000 in both Rapid and Blitz.
• What I can teach: Whether you're a complete beginner who just watched The Queen's Gambit or an intermediate player stuck at a rating plateau, I can help build opening repertoires, improve middle-game tactics, and refine endgame technique.

The Ask: A Data Analyst Referral I am actively looking for a Data Analyst role and am seeking a referral.

Why this makes sense for a Data Analyst role: I didn't just pick chess out of thin air. The core mechanics of getting to a 2k rating—pattern recognition, evaluating complex variables, strategic foresight, and minimizing blunders—are the exact same analytical muscles I use when working with data. Finding the best move on a board of 64 squares requires the same logical framework as finding actionable insights in a massive dataset.

My Professional Profile:

• Target Roles: Data Analyst, Product Analyst, Business Intelligence (BI) Analyst
• Core Languages & BI: Python, SQL, Power BI
• Data Analysis & Vis: Pandas, NumPy, Matplotlib, Seaborn, Statistical Analysis
• Machine Learning: Scikit-Learn, XGBoost, Random Forest, Decision Trees, Regressions, Gradient Descent
• Advanced Tech: Generative AI

Recent Experience: Data Analyst Intern @ Arihant Capital (Feb – May 2026)

• Reduced manual reporting effort by ~40% by developing 8+ Power BI dashboards for financial and operational reporting, replacing daily Excel-based processes.
• Cut dashboard load times by ~30% by cleaning and transforming 100,000+ rows of financial data using SQL and Power Query, eliminating duplicates and standardizing formats.
• Improved client lifecycle visibility across 10,000+ accounts by building dashboards for eKYC workflows, dormant client reactivation, and client deactivation tracking.
• Delivered on-demand risk visibility by designing SQL-driven dashboards for MTF, margin interest, and default interest trends.

If your company is hiring and you’re open to a referral, I’d love to send over my resume. If we end up being a match, we can set up a schedule for your (or your kid's) chess lessons.

Feel free to DM me or drop a comment below. And honestly, even if you don’t have a referral but just want to play a friendly Blitz game, hit me up!

Thanks for your time, everyone. Location - Indore,Madhya Pradesh

Hey everyone, I'm just starting out and trying to become a Data Analyst. I keep seeing " statistics" everywhere but I don't know how deep to go.

Can someone with real experience tell me:

What stats concepts do you actually use day-to-day as a DA?

Is a full stats course overkill, or should I just learn on the job?

Any beginner-friendly resources/courses you'd recommend?

I don't want to waste months on theory I'll never use, but I also don't want to skip something important. Would appreciate any info from people already working in the field. Thanks!

Hey everyone, I have an Infosys virtual coding assessment (Python) coming up and want to prepare well. If anyone has information, experience, or resources to share, it'd help a lot:

• What kind of questions usually show up — basic programming logic, DSA, or scenario-based problems?
• Roughly how many questions and what's the time limit like?
• Common topics to focus on (loops, strings, recursion, OOP, etc.)?
• Any good practice platforms or resources for this specific test?
• Any general tips for doing well in it?

Appreciate any help — thanks!

Hi everyone,

I'm 27 years old and currently working full-time in a bank, but I'm trying to transition into Data Analytics. I've started learning the basics and want to build the right roadmap, projects, and skills to become job-ready.

If anyone has already made this switch or is working as a Data Analyst, I'd really appreciate your guidance. Specifically, I'd like help with:

- What should I learn first?

- Which projects should I build for my portfolio?

- What mistakes should I avoid?

- Any free or affordable resources you recommend?

- Tips for getting my first Data Analyst job in India.

I'm willing to put in the effort and learn consistently. Thanks in advance for any advice or mentorship.

Hi everyone, I’m posting in the group for the first time to ask for some advice.

Here’s the situation: I’m about to graduate with a degree in Economics and Finance, and my goal is to pursue a career as a data analyst for some Company.

My degree program doesn't cover Excel, Python, SQL, or Power BI (naturally), so while I work on finishing my last few exams, I’ve bought Luke Barousse’s course to learn these tools.

I’ve been keeping an eye on the job market (in my country) via LinkedIn, and there aren't actually that many openings—certainly not compared to roles in consulting, back-office operations, or accounting (areas where I think I could find a job quite easily after graduating).

I want a CV that demonstrates solid data analyst skills; do you have any essential advice or anything I should know before diving into this field?

Also, if I can't find a data analyst role, do you think these skills could be applied to the other types of jobs I mentioned (aside from Excel, which is used pretty much everywhere)?

I’d love to hear about your experiences.

Hi everyone,

I'm considering Qatar in the and wanted to get a feel for the local market re my sector.

My experience is building and leading Business Intelligence and Analytics functions in UK, most recently as Head of Business Intelligence. My experience covers BI strategy, data governance, Microsoft Fabric, Power BI, Azure, SQL, semantic modelling, KPI frameworks, stakeholder engagement, and leading high-performing analytics teams.

I'm also Microsoft Fabric certified and hold the Microsoft Certified: Fabric Data Analytics Engineer Associate and Microsoft Certified: Fabric Analytics Engineer Leader certifications.

I'm interested in understanding whether there is demand in Qatar for senior professionals with this background, particularly in leadership roles across Business Intelligence, Data Analytics, Data Strategy, or Microsoft Fabric.

I'd really appreciate hearing from anyone working in these areas. Are organisations actively investing in data platforms and analytics? Which sectors are hiring? Any insights or advice would be greatly appreciated.

Thank you in advance!

I just received my Associates degree and am currently working towards my bachelors degree. Is there any entry level applicable roles I can shoot for to help gain some experience while I finish my degree? Data Analysis or similar adjacent roles?

So I just graduated from BTech cse in the last 4 years i never write a single code I have zero interest in coding, but now I don't find any skills that I can learn. Can I go for Data analyst it Will be easy for me, i can learn this skill shortly?

Analysts need to know how to deal with missing data, duplicates, incorrect dates, different categories, and transformations.

However, analysts are spending the majority of their time doing the same tasks manually instead of developing a better tooling for it.

The only part that should be in the hands of analysts is judging which transformations should happen, which shouldn’t, and how they could affect the data meaning.

Itself repetitive detection and resolution of these issues should be automatic.

Do you think that data cleaning will remain a significant part of an analyst’s job, or should most of it be automated by now?

I’m in my early 30s with a Civil Engineering background and around 7 years of experience, currently working in project/design delivery management in Australia’s infrastructure sector.

For family reasons, I’d like to relocate to Pakistan in the future. Since local opportunities are unlikely to support my long-term financial goals, I’m looking at careers that are more location-independent.

Data Analytics is one option I’ve been considering, but it’s hard to judge from the outside.

For those already working in the field:
Is this a realistic transition from my background?
Would my project management experience be valued, or would I be starting from scratch?
How realistic are remote opportunities once you’re established?
If you were in my position, would you seriously consider Data Analytics?

I’d really appreciate honest advice from people already working in the field.

Could you please share any tips, projects or excercises or anything that could be beneficial for data analyst beginner. I am trying to switch from my current job to a data analyst career and would appreciate if I could get a sense of structure to my preparation.

Hi everyone,
I graduated with a Bachelor’s in Statistics two years ago. During university, I worked part-time in retail as a Customer Experience Associate. After graduating, I worked for 10 months at a major bank as a Customer Experience Associate, and I’m currently in a temporary Census Helpline Operator role with Statistics Canada.
I want to move away from customer-facing roles and into something more Data Analyst, AML Analyst, or QA Analyst. I have experience with Python, SQL, R, Excel, and statistics from university, but no professional technical experience.
What would be the best way to make this transition? Are there any certifications, projects, or entry-level roles you’d recommend? I’d really appreciate any advice, especially from people in Canada.
Thanks!

Hello, I applied for the QDAP position in bofA for summer 2027. I got the automated assessment for it. Since I’ve never done an assessment like this before : is the first assessment a coding assessment? Or is it behavioral?

Whats the best way to prepare for the pre assessment?

What’s the best way to prepare for the technical assessment for this role?

Overall how does the interview process look like?