I have hands on independent project as shown in the resume. My technical skills are at best intermediate and I continue improving my skills during free time. But I always wonder why my resume doesn't even pass the screening and I don't get any interviews.

Location: southern USA.
I took a career break 4 years ago because of some health issues in family. Now thankfully everything is back to normal and I’m actively looking for jobs.
Throughout my career I’ve kept my knowledge sharp and learned new skills. Even got a few certifications to stay relevant to my field.
I’ve been looking for work for a the past 6 months with no luck. I lowered my desired annual salary by 10-15k. Which didn’t make much difference.
At this point Im considering working at a minimum wage/ internship r just to get my foot in the door. I genuinely miss working and want to get back into my field.
For those who have rejoined the work force after extended career breaks, how did you do it? What are the strategies that worked for you? I’d greatly appreciate any advice.

Hi everyone,

I’m 20M based in London and looking for advice from people working in data analytics, particularly in real estate.

I’ve worked full-time in my dad’s restaurant since finishing school, so I don’t have a degree or previous IT experience. However, I’ve gained valuable business experience, and with my family looking to sell the restaurant, I’m starting to think seriously about my long-term career.

I’ve recently become interested in data analytics, especially property. I also own a property that my dad is selling to me, so real estate is something I’m genuinely interested in beyond just a career.

My plan is to finish my online courses, learn tools such as SQL, Excel, Power BI and Python, and build projects using property data, potentially including data from the restaurant.

Long-term, I’d love to use these skills to make better property investment decisions myself and potentially explore deal sourcing for investors once I’ve gained enough experience. However, my immediate goal is simply to break into the industry and become a competent data analyst.

My main questions are:
- How realistic is it to land a junior data analyst role in London without a degree or IT experience?
- Would you recommend applying directly for entry-level jobs, pursuing an apprenticeship, or taking another route?
- Is real estate a good industry to specialise in from the beginning, or would I be better off gaining general experience first?
- If you were in my position, would you go for it?

I’m prepared to put in the work and understand it won’t happen overnight. I’d really appreciate honest advice, especially from anyone who has taken a similar route.

Thanks!

​

Hi everyone!

I’m currently exploring new job opportunities and looking to switch to a new company for better career growth and learning opportunities in India.

I’m currently working as a Data Research Analyst at Shore Infotech Pvt. Ltd., where I work with data collection, cleaning, analysis, identifying trends, and preparing reports to support business decisions.

My key skills include SQL, Python, Excel, and Power BI. I’m interested in opportunities such as Data Analyst, Research Analyst, Business Analyst, and other related roles where I can apply my analytical skills and continue growing professionally.

If anyone is aware of relevant openings or could refer me to their company, I would really appreciate your help. I’d also be grateful for any advice on companies hiring, improving my resume, or navigating the job-switching process.

I’m happy to share my resume and other details through DM.

Thank you in advance for your support! Any leads or suggestions would mean a lot. 🙏

Hi everyone,

I’m currently working in a different domain and want to switch my domain. I’ve completed a Data Science course and learned SQL, Python, Pandas, MySQL, Power BI and data visualization.

I want to gain hands-on experience working on real-world data projects to build my portfolio and improve my practical skills.

Could you please suggest websites, companies, startups, or communities where I can find remote internships or project-based opportunities, preferably suitable for career switchers?

If they offer genuine learning opportunities and meaningful project experience.

Any suggestions or personal experiences would be greatly appreciated. Thank you!

I have been curious on data engineering for some time now. But wonder how one moves to that position? Any insight would help!

I completed a BS in Data Analytics last December, and have been applying to "entry-level" roles since January. I don't have any data analytics work history, but I do have prior roles in environmental science, regulation, and hospital clinical laboratory that required analytical thinking and data collection. Despite my best efforts, I've gotten 0 callbacks. Trying to figure out what my best next steps are to make myself more competitive, including considering the following:

• Get a MS in Data Science/Analysis
• Quit my current dead-end job and work on certifications and portfolio projects
• Get a basic IT support job at a large company and try to work my way into a data-oriented role

How do people get into this field? I know I'm missing work experience, but I can't even get a callback for junior positions despite being qualified. I've included an anonymized resume that is the base resume I've been using. What are the best next steps? Thanks!

be honestttt no genric pleaseeee

Hi everyone. I am F(28) BDS grad with an MPH currently underway in Pakistan. I want to switch to data analytics in healthcare. What is the current situation of the job market for this role? Is it possible to switch, given jobs are already scarce in our country.

If yes, what should be my roadmap? I know I should learn Python, SQL, Power BI, and Tableau along with Excel, but which one of it should be majorly my priority? I am also aware that I should build projects once I have a strong grip on the tools, and have a strong portfolio to demonstrate my abilities.

Secondly and most importantly, is it even slightly possible to land a remote, US based role for a beginner like me? I am aiming to land a US role, so I'd want guidance accordingly.

Looking forward to getting thorough guidance on this, thank you in advance!

Hi everyone!

I'm a Bachelor of Commerce (Computer Applications) graduate, currently pursuing Data Analytics training. I've completed Excel and SQL training and am looking for an entry-level Data Analyst internship to gain practical, hands-on experience.

I'm open to remote internships, learning opportunities, and working on real-world projects.

If anyone knows of any openings or referrals, please let me know. I'd really appreciate your help. Thank you!

Can anyone suggest me free resource or newsletter in order to get information on latest trands and technologies in this domain?

​

Hi, I'm from a non-tech background. I'm learning SQL and Excel, and planning to learn Power BI and Python later.

Is it realistic to get a Data Analyst job without a computer science degree?

And apart from the usual Data Analysis skills, what else should I learn or know to improve my chances of getting a job in this field? I'm interested in hearing what you would recommend based on your own experience — whether it's another technology, tool, field, or anything else you think would actually be useful.

If you came from a non-tech background and became a Data Analyst, what would you recommend I focus on?

I analysed a Brazilian e-commerce dataset using SQL — here are a few things I learned

I recently worked on a Brazilian e-commerce analytics project, using SQL to explore orders, customers, products, and sales performance.

While working on it, I focused on answering business questions rather than just writing queries.

Some of the areas I explored:

• Sales and product performance
• Customer behaviour
• Business insights from transactional data

I'm sharing the project breakdown and would appreciate feedback from people who work with SQL.

What would you investigate next in this dataset?

I have a live SQL interview coming up on CodeSignal. I'll be given company data and answer questions while the interviewer watches on Zoom.

I've mostly done take-home assignments, so the unfamiliar part is working through the analysis with someone watching, rather than having time to polish everything before submitting it.

A useful rehearsal could be taking SQL Interview Questions and talking through the assumptions, query and result checks out loud. I'd like to know what else to add to make that feel closer to a live session.

How did you handle unfamiliar tables, clarify business definitions and check whether the results made sense? Did the interviewer expect you to narrate continuously, or explain your reasoning at natural stopping points?

I'd also appreciate advice on what to practice beforehand. What tripped you up in this format that ordinary SQL exercises didn't prepare you for?

Hi everyone,

I’m currently working as a Data Analyst using Power BI. I have strong Excel skills and an intermediate level of Power BI knowledge, but I’ve realised that I don’t enjoy the analytical side of my role, especially interpreting results and presenting insights to stakeholders.

I enjoy working with data and creating reports, but I’d like to move into a more senior, specialised role that focuses on reporting rather than administration or analysis.

What job titles would you recommend I look into? Has anyone made a similar career move, and what roles would you suggest?

Thanks in advance!

Hey everyone, I’m a 22F looking to switch careers to data analysis. I’ve been trying to learn from free courses but it feels like they’re focusing too much on the theory and I’m the kind of person who prefers to do projects to understand practical stuff better & faster.

Sou formada em processos gerenciais estou pensando em migrar para análise de dados, vocês acham que o mercado está bom para Jr?

Hello,
I am new to data analytics and sort of doing it on the side for fun. I recently finished a small project about a game I play and was wondering if anyone had any critiques or comments. This is my first ever semi-serious project and I spent a few hours putting some data together and creating a data model and was wondering how I did. I'm open to criticism as it is the best way to improve, imo. I hope everyone reading has a great day.

I'm 30, working a minimum wage job in Toronto, and I want to move into data analytics or BI.
My background is retail, warehouse, and restaurant work basically all survival jobs. No formal data experience yet, but I like structure, patterns, and explaining things clearly.

I'm planning to start the IBM Data Analyst Professional Certificate on Coursera

Link: coursera.org/professional-certificates/ibm-data-analyst

It is some kind of pathway for beginners to become data analyst and it has 11 courses from introduction to data to excel, python, and SQL. but I want honest opinions before I commit that time:

1. Is 30 too late to start in Canada?

2. After finishing this certificate, is it realistic to land a job, or would I be wasting my time without more (projects, portfolio, experience)? How do Canadian employers view Coursera certs?

3. If you were starting today, what would you do differently?

I'm open to entry-level or adjacent roles (reporting, operations, data entry) as a stepping stone. Even a short reply helps. Thank you!

Still learning SQL, Tableau, and Python. Will incorporate these skills in future projects as well as i learn more about them

So I belong from healthcare but I don't think i'm really suited for it so I'm looking into something tech related. Data analytics caught my eye so I was wondering what the future holds for this career now that AI has entered.

Really appreciate from data analysts working in this country.

Hey!

I'm currently a senior data professional at a company related to finance and fintech and I really want to know what I should be called. The problem is, I don't know what my real job title in the job market is.

How did this happen?

Well, it's mostly because our company retitled our department several times already and made us switch responsibilities. For the the first few years I was what they would call a Data Quality Analyst, more focused on setting standards for data, improving reliability and trying to create an SVOT under a Data Quality Department mostly focused on customers.

On the next few years, I was now more focused on servicing internal clients for AML, Audit, Compliance, at about 70-80% of my requests, then served 20% from either Marketing or Customer Engagement teams.

I barely provide insights that would shift marketing strategies. However, I'm really good with RCAs, data lineage, data dictionaries, and data management. If you were a new hire, I'd probably be one of the first people you'd have to be introduced to because whatever data problem you might have regarding data sources and transformations prior to their loading in our warehouses, I would know or at least have a strong idea about, with documentation and business decisions considered. This is probably why I'm the go-to person for the AML, Audit, Compliance, and Legal Divisions.

While I considered that I may be a Data Management/Data Governance Specialist, I saw tools from job postings that I never knew existed. I extract data, suggest approaches to investigations, audit approaches, new reports for CTR and STR transaction monitoring, and even provide answers for central bank audits or risk assessment reports. Microsoft Server SQL is kind of my bread and butter, not telling departments how to manage their data. But right now, my department is a Data Management Department.

This confusion is preventing me from having reliable job search keywords and is really causing me headaches when I try to explain my situation to recruiters.

I love my job of servicing AML, Legal, Compliance, and Audit units, but I don't think the titles AML Data Analyst, Compliance Data Analyst, or Audit Analytics Specialist don't fit my qualifications and I don't see their certifications being needed in my role. Our department has always been focused on customer data tho, but the Customer Data Analyst roles I see would mostly focus on Marketing, so I don't see it as a good fit.

EDIT: I also load/archive rows of data using production-grade scripts I created (with no problems occurring whatsover eversince) endorsed to the DBAs for their execution.

Can you guys help a poor lost soul put an accurate description of his career? I would really appreciate the help.

Hi everyone! How’s it going?

I’m looking for a few people here who don’t know SQL yet, or have only just started learning it. It’s to test a new learning platform before it launches and hear what actually helps beginners, and what doesn’t.

For this first round, there are 5 spots, with 30 days of free access. If you’re interested, send me a DM and tell me a little about where you are with SQL. If the spots fill up, I can put you on the waitlist for the next round.

No need to be “good at SQL” to take part. In fact, if you’ve opened a query editor and thought “where do I even start?”, you’re exactly who they would like to hear from 🙂

Hi, I'm 25, a BCom graduate, and currently work as Growth Strategist (sales&marketing). I'm looking to transition into an analyst role but am confused between marketing analyst, product analyst and cybersecurity analyst.

From my research:

• Marketing Analyst seems the easiest transition given my experience.
• Product Analyst looks like a great mix of business, data and strategy.
• Cybersecurity Analyst appears to offer the strongest job security and demand.

For those working in these fields, which path would you recommend if you were starting today, and why?

I'd especially love to hear from people who transitioned from a non-technical background.

Ever look at a crowd full of phones recording a concert and wonder how much cloud data that actually creates?

I ran some quick napkin math to model the total data footprint when thousands of audience members record in 4K at a major arena show.

The Baseline Assumptions

• Audience: 70,000 people
• Filming: 50% of the audience films an average of 30 minutes total of 4K30 video (~175 MB/min)
• Cloud Backup: 60% automatically syncs to cloud storage with standard erasure coding (~1.3x redundancy)

The Scale

• Filmed on-site: ~184 TB of raw video in a single evening
• Uploaded to cloud: ~110 TB
• Stored capacity required: ~143 TB (roughly eight 20 TB drives worth of shared array space)

Obviously, data centers use deduplication, cold tiering, and efficient array management, so this isn't literally eight separate drives being bought for one night. But multiplying that across a 50-show world tour gets you up around ~7.1 Petabytes of stored footage, most of which sits in cloud backups untouched.

I built a small interactive Data Estimator slider model to play around with different audience sizes and filming times if anyone wants to test different parameters.

(Disclosure: I built/maintain this tool/site!)

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Given how much energy and disk space goes into keeping duplicate event media online indefinitely, do you think this background data usage is a real concern, or is it just an accepted byproduct of cheap cloud storage and modern event culture?