r/dataanalysiscareers

Please don’t ask me why I went and got a masters right after my bachelors. What’s done is done. But I recently graduated with my DA masters and did my undergraduate in biomedical engineering. I find myself in a weird spot without enough real life work to support either of my degrees. I loved my time in school and learned a lot, but I haven’t been able to get job/interview despite trying to change my resume for each job. I’m not necessarily passionate about a certain job, but I’m not sure what entry level jobs I should applying for to get myself started.

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Im a graduate of data engineering from the cariben, don't have any data experience besides some basic one in my current job, which i highlited, i have a very polished github but my projects are kind of basic and im working on a very good one as of right now.

Hi all, hoping I can get some guidance on what to expect.

I am currently interviewing for a BI Analyst position for a non-profit healthcare org with a couple hospitals/a university. I was referred by someone high up in the university for this position.

I had my first round “interview” over the phone and it was with the hiring manager, who is fairly high up in the department I would be working in. I will say she seems to like me when we talk. After that a 1 hour meeting was scheduled. It was also virtual, since I am out of state. This interview was a 5 person meeting, all high up in departments I’d be working closely with outside of my own. This interview went pretty well, and I got an email from the hiring manager a week later.

This interview is on-site, meaning I have to fly in. No mention of paying for my travel. All I have been told is that this interview will be a 2.5-3 hour process. What can I expect going into this? I have never had an interview this long before, especially after what felt like a decently deep 2nd round interview. That interview included some “what if” scenarios, and a brief check that I could, indeed, actually build out a SQL statement, lol. So I’m just not sure what to expect here. How technical will this interview be? Is it more of a culture check? I want to think they would not be bringing me out if I was not one of the finalists, and again the HM seems to be fond of me, and actually told me over the phone ahead of time that I would get the on-site invite a few days before the email went out when I called for an update (I have actually not spoken to HR at all through this process, only to the HM and other directors during the 1 hour interview).

Any help is very much appreciated. I am trying to move my fiancé and I back to my childhood home so we can get a house, get married, and start our life’s final stage of evolution.

Im in a situation whereby I have only four years of freelance experience in data analysis. Is this enough to get a job as a senior data analyst in Canada? Are there any freelancers who got employed full time as a data analyst?

I'm working at an accounting office for 5 years, i was working in the accounting part and now i'm migrating to the "tax" part... But i dont want work here forever/follow this path... Soo i'm planning in switching to something data related, TI"" which courses should i be looking for, order of learning atm"? I heard certificates are important to work internationally, but having projects to showcase is more valuable... Well, how should i start from zero at this area? What should i prioritize, focus on learn first, mindset i should have... ANY info is appreciated... If you would like keeping contact with me through my journey from discord, my user is Weaszyy

I'm in a situation where I can't work for the next four years. What this means is that I have four years to learn data analysis. But the issue is that in Canada entry level data analyst roles are few and saturated. So my question is this, in four years can I self teach myself to the level of a mid level data analyst or senior level data analyst through constant studying and projects in a four year time frame?

So i have been learning and working on data analytics for the past few months, and right now i am looking for an entry-level data analyst role , or even an internship if that’s available.

For the skills side of things i know Python, SQL, Excel, Power BI

Plus i have a bachelors in AIML with a CGPA of 8.05.

Along with data analytics, i have recently started exploring and working with agentic AI frameworks and AI workflow automation.

I have build a few projects too.

I have been applying quite consistently, but honestly I’m still searching for that first chance.

If anyone here happens to know of openings, referrals, or internships, do let me know.

Also working hours doesn't matter to me, i can work for any amount of time if we are building something meaningful so if you are their building a startup or anything where i can help you i would love to join you.

#OpenToWork #DataAnalyst #SQL #Python #PowerBI #Excel #Internship #FresherJobs #Startups #AI

Hi everyone, posting on behalf of my brother.

My brother (24M) is currently working as a Data Analyst at American Express India, where he’s been working for the last ~2 years after getting placed there through college placements.

Academically, he comes from a Civil Engineering background with a minor in Computer Science. Over time, he developed a strong interest in the data science/analytics space — especially data analytics, machine learning, A/B testing, statistics and data-driven decision making — but isn’t particularly inclined toward hardcore DSA/software engineering roles.

He’s now considering pursuing an online Master’s in Data Analytics/Data Science alongside his job. His primary goal is to strengthen his profile and eventually move into better-paying, high-growth opportunities in the data science field. Budget isn’t a major constraint as long as the ROI and career outcomes justify it.

Currently, he’s leaning toward Georgia Tech, but is quite confused between OMSA and OMSCS based on his career goals and background. He’s also heard about some Stanford online programs, but isn’t too sure how well they’re regarded compared to the others.

So far, he’s mainly been looking into:

• Georgia Tech OMSA / OMSCS
• UC Berkeley
• UT Austin
• Possibly Stanford online programs

Would love to hear recommendations from people in the industry:

• Which programs would you suggest?
• Are these degrees actually valued by recruiters/hiring managers?
• Would you recommend a more analytics-focused degree vs a CS-heavy one for his goals?
• Any advice on how he should approach this overall?

Thanks in advance!

Hey everyone,

I’m 24 and have been working in sales for the last 3 years. Since last year, I’ve developed a big interest in data analytics and have been doing a lot of research into it this week.

From what I’ve seen, the main skills people talk about are:

Excel (I know the basics)

SQL

Python

But I’ve also seen a lot of conflicting opinions about Python — some people say it’s essential, while others say you can get a job without it.

Since I don’t come from a tech background and would basically be starting from 0, I wanted to ask: what skills should I realistically focus on learning first to become employable in data analytics?

I’ve also noticed that analytics jobs are tied to specific industries or business fields. Since my experience is in sales, are there any fields or types of analyst roles where that background could actually help me land opportunities?

Any advice, roadmaps, or things you wish you knew when starting out would be really appreciated. Thanks in advance!

Hey everyone,

I’ve been spending the last few months teaching myself data analysis. My ultimate goal is to start doing some freelance work to build an extra income stream, but I feel like I'm hitting a wall between "knowing the tools" and "knowing how to apply them in the real world."

Here is what I’ve learned and feel comfortable with so far:

• Spreadsheets: Excel (Pivot Tables, SUMIFS, COUNTIFS, logical functions, XLOOKUP)
• Programming: Python (Pandas, NumPy for data manipulation)
• Databases: SQL (MySQL – basic querying, joins, aggregations)
• BI & Viz: Power BI, Matplotlib, Seaborn
• Concepts: Data cleaning, validation, and basic EDA

I really want to take the leap into freelancing, but I have major impostor syndrome and feel completely clueless about the business side of things. I’d love some brutal honesty and advice from those who have done it:

1. Am I ready? Is this skill stack enough to actually deliver value to a client, or am I missing a crucial tool?
2. What problems can I actually solve? What do entry-level freelance data gigs actually look like? (e.g., Automating Excel reports? Building basic BI dashboards for small businesses?)
3. Client Acquisition: Where do you even find clients who need this kind of work? (I know Upwork/Fiverr are notoriously saturated).
4. Portfolio: What kind of portfolio project would prove to a client that I can handle their messy real-world data?

Any advice, reality checks, or resources would be massively appreciated. Thanks!

I really need a career change, I want to get out of my current role but there's not really much point looking at similar roles. I'm interested in data and have an analytical mindset, so I was thinking of data analysis as an option.

Important info: I have a bachelor's degree in an unrelated field and I live in QLD Australia. I'm not opposed to further study, and currently I'm eyeing the Graduate Certificate in Data Science with QUT. This one: https://www.qut.edu.au/courses/graduate-certificate-in-data-science

My questions:

1. Would that QUT Graduate Certificate be good for helping me enter the industry and getting a beginner job? I have work experience in administration, am decent with computers (better than the average person but never did any coding before, open to learning though) and have a very analytical mindset.

Alternatively, what other options should I consider for study in (south-east) QLD Australia? If any.

Can you become a successful applicant with postgraduate study and no prior experience?

Is study required, or would there be another way to pivot to data analytics?

2. Anything important I should know about Data Science/Data Analytics that are specific to the Australian job market?

3. I have a strong personal dislike for generative AI, it's making people dumber and lazier among all the other harm caused by the unethical gathering of data and the environmental impact of data centres. Additionally, AI hallucinates, lies and is plain wrong about things all the time. However, like with anything technology related, I heard that there is a big push for AI tools in data analytics as well.

How has AI impacted this industry for better or for worse? Is there any consideration for ethics when using these tools? Or consequences for using them? Are there any guard rails or processes for fact-checking AI? Do you feel that your job security is threatened by AI? Are you at a disadvantage if you don't use AI? If the AI bubble burst, and these services weren't available anymore, how would your job be affected? Is using AI mandatory to succeed?

4. Finally I'm just looking for any other general advice that could help somebody like me, curious about making a change and weighing up all the options available to me.

Any and all input would be appreciated. Thanks!

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Any feedback with my resume? Looking for entry data analyst entry roles.

2024 passout still struggling for a full time role. did few internships(8 months) since passout. I was about to join a AI startup for full time but budget constraints didn't get better offer. Struggling in this job market without a proper job package.

I am into data analytics, ML models( training, deployment) , deep network.

DM if anyone wants to hire or refer me. I will be glad to do some real worth my skills.

I'm starting to feel some regrets accepting this job. I am fresh out of college and felt lucky to even have a job offer in this market, so I jumped on it. But after my 2nd week of training, I foresee my skills deteriorating while working in this role, because I'm not doing anything I've been told that data analysts do.

I don't have access to SQL or databases, that's work for some other people in some other office. Coding? Some other people on the team have made custom chrome extensions for the existing tools to make work more efficient, but no one on the "analyst" team has real access to anything the company builds. Dashboards and visuals? I'm not sure who makes those, but I don't think it's anyone on the team I've been hired on.

Mostly I feel like I've been hired into a misleadingly titled data annotation job, training in-house AI models that I will never get to touch myself, and being the human oversight before finalizing what's sent to clients.

Do you folks have any recommendations for how I can thrive in a position like this? I can always continue personal projects on my own time, but it would be nice if I could come up with some excuse to utilize my skills on the job itself. I also don't wanna bail and start looking for work again already and make myself look like a flake, I'd like to stay at least 2 years.

I graduated in 2024 from an Ivy League university with a degree in Data Analytics and Social Sciences. Before that, I started at community college and transferred later, so it took me a long time to get here. I’m also a 40 year old immigrant, and English is my second language.

I’ve been trying to break into data analyst or research related work, but I still haven’t landed a full time role yet. Right now I work part time. I only had one internship during school, so I know my experience is still limited compared to many candidates.

What confuses me is that I usually pass HR screenings and often make it pretty far in interviews. I’ve reached final rounds multiple times for analyst, research, reporting, and university related positions. But I’m almost never the final choice.

I’m starting to wonder what employers are seeing that I’m not seeing.

I know my spoken English is not my strongest skill, especially in interviews or fast conversations. But technically, I do feel confident. I’m comfortable with SQL, R, Python, Power BI, data cleaning, dashboards, reporting, research support, and handling messy datasets.

Part of me wonders:
- Is this mostly an experience problem?
- An interview communication problem?
- An English fluency issue?
- Or am I targeting the wrong roles?

Recently I started broadening my search beyond “data analyst” into:
- research assistant
- public health / university roles
- data operations
- reporting analyst
- data integrity / data quality
- healthcare admin support
- entry level analyst or office roles

I’m trying to be realistic instead of chasing titles.

For people who struggled breaking in, especially immigrants, career changers, older graduates, or ESL speakers:
- What finally helped you get in?
- Were there certain industries or jobs that were more open?
- Did your first “real” opportunity look different from what you originally planned?

I’d really appreciate honest advice from people who’ve actually been through this.

I graduated in 2024 from an Ivy League university with a degree in Data Analytics and Social Sciences. Before that, I started at community college and transferred later, so it took me a long time to get here. I’m also a 40 year old immigrant, and English is my second language.

I’ve been trying to break into data analyst or research related work, but I still haven’t landed a full time role yet. Right now I work part time. I only had one internship during school, so I know my experience is still limited compared to many candidates.

What confuses me is that I usually pass HR screenings and often make it pretty far in interviews. I’ve reached final rounds multiple times for analyst, research, reporting, and university related positions. But I’m almost never the final choice.

I’m starting to wonder what employers are seeing that I’m not seeing.

I know my spoken English is not my strongest skill, especially in interviews or fast conversations. But technically, I do feel confident. I’m comfortable with SQL, R, Python, Power BI, data cleaning, dashboards, reporting, research support, and handling messy datasets.

Part of me wonders:
- Is this mostly an experience problem?
- An interview communication problem?
- An English fluency issue?
- Or am I targeting the wrong roles?

Recently I started broadening my search beyond “data analyst” into:
- research assistant
- public health / university roles
- data operations
- reporting analyst
- data integrity / data quality
- healthcare admin support
- entry level analyst or office roles

I’m trying to be realistic instead of chasing titles.

For people who struggled breaking in, especially immigrants, career changers, older graduates, or ESL speakers:
- What finally helped you get in?
- Were there certain industries or jobs that were more open?
- Did your first “real” opportunity look different from what you originally planned?

I’d really appreciate honest advice from people who’ve actually been through this.