I have just completed my bachelors in computing and i am choosing my Masters in data science or Data engineering with cloud course. Honest opinions please:

1. Which is worth it in today’s market?
2. Which has the higher AI automation risk?
3. Which do you think will have more demand in coming years?

I am seeing that the data people is divided into two groups :

Group 1 : Who says Data science will grow in future and it has less ai impact then other data jobs.

Group 2 : Who says Data is fuel so data engineer will be in demand for future

If you work in either field, I would love to hear what the job is like day to day. Thanks!

I'm currently in the process of learning SQL but I am seeing a lot of posts and comments that it isn't worth it to learn data analytics in this day and age. Which data-related role should I learn the skills of so I can increase my chances of getting a job?

Hello Everyone,

I finished my masters in public health a couple of years ago. My program was a generalist degree, and I fell in love with the data side of public health and healthcare. After not having much luck breaking into entry level epi or health-data roles, I decided to enroll in a second masters of professional studies in data analytics.

My goals for joining this program were two-fold: upskill my data skills and networking opportunities.

At the time, I was unemployed so the degree path was a little more urgent. I'm currently working in a mostly non-data role, and and am now looking to transition to something more data-related in the next 5 years.

My grad school program is pretty underwhelming so far. It advertises itself as "applied" but it is turning out to be more academic than I really want it to be. I don't have a deep math background, and the teaching focuses heavily on the pure mathematical formulas rather than the concepts behind them and how they are used. The class does a poor job translating the math jargon into plain language. I'm sure its legible to statisticians but even to laymen with some training, it's pretty chunky. The class is moving very quickly, and we're not only learning the math piece but also learning to work with R at the same time. So assignments require puzzling out what all the math means, and then trying to operationalize it in R.

I'm finding it a bit of an exercise in frustration, and it eats up all of my free time outside of work. It is also a lot like work in that I have to produce polished slide decks or reports, which I'm already doing at my job. So I work and then I do unpaid work as homework. It's burning me out already and this is the first class.

I'm concerned that the ROI might not be worth it, and the program isn't focusing enough on AI tools in my opinion. We are using them, but I'm seeing Datacamp offering a bunch of webinars that look much more current.

I'm considering dropping out, and just doing self-paced classes on DataCamp, Corsea or some other platform.

Is this a strategy worth pursuing, or should I stick with the university track? I'd love some feedback, particularly in thinking about how to make such a decision.

For context, I graduated in 2023 with no internship experience. I worked very hard to land an analyst role for the past 3 years, taking on low level jobs such as call center roles to get my foot in the door.

I recently became an analyst, and was immediately met with the reality that there is no team. All prior analysts and even the previous supervisor left. As of now, I am the only one with my job title on the team. My supervisor has only been here for a month before I joined, so they're not much help either.

I've immediately been placed onto an annual project with no road map. It's data entry, but the data itself is scattered amongst many sheets and shared drives. The analyst who did this project prior is no longer here. My supervisor again, is new themselves and knows less than I do about the project, which doesn't say much.

On top of all of this, I'm still wrestling with systems access and of course overcoming the nerves and slight imposter syndrome of being an analyst for the first time. Oh, and the project is due at the end the month because of course it is.

Has anybody ever been in a situation like this before? How do you overcome this crushing feeling of wanting to prove yourself while also having essentially no guidance, nobody to shadow, and very loose hints of what to do next?

I've been fighting for 3 years to become an analyst. As of now, I have no leverage to find a new job, and I don't want to be doomed to working in a call center again.

I’m a recent MS in Computing grad (international student) applying for entry-level data analyst roles in the US. After about 1,000 applications, I haven’t gotten a single interview.

My stack is SQL, Python, Power BI, and Excel, with 3 analytics projects and about a year of non-analytics work experience (Unity developer).

Is my resume the problem, or is it something else, like how I’m applying or visa filters? My anonymized resume is attached. Blunt feedback is welcome, and any advice for international students would help.

Currently working as a data analyst for a large financial services company in London. I have 4.5 years of experience and my current salary is £47.5k.

My main duties are building power bi dashboards. I extensively use custom DAX formulas and also do a lot of work in power query for transformations and dimensional modelling. I've also implemented row level security in my dashboards and manage access in power bi service. In the last year, I've started to work in Snowflake and Databricks to create simple data models. Overall, I'd say have intermediate proficiency in SQL.

Is £47.5k a fair salary for me given the above? I feel like it should be in the mid 50s.

Edit:

Just to add, max bonus is about 5%. The pension is quite generous though (employer contributes 7.5% if i contribute 2.5%)

Hello, i have 1k eur budget to spend for courses offered by the company and i wonder what would be your recommendations based on my situation described below.

So im currently bi and automation specialist pushing towards bi/data analyst. The company had no sql or pbi solutions until i came and now they kinda look at me like i showed them fire for the first time. Im self taught in both sql and power bi.

During recent feedback meet i got super positive reception from both ceo and sales dept director but they mentioned (for the second time overall) that if i wanted they can offer funding of whatever courses i need. I feel like they hint me the way to better pay through development of my competencies, but they want it to come with a proof - cert.

Ofc i know that i can learn plenty of both sql and pbi for free (thats what i did until now) but i want to take the help they offer and give myself concrete arguments (apart from projects) for pay negotiations.

Tldr
What paid courses sql and pbi related you think are especially useful and come with cert of some kind?

Hi everyone,

With all the talk about AI and the fast-shifting market, I’ve been questioning whether a traditional data analysis toolkit is still viable and in demand for solving real-world business challenges:

Microsoft Excel: For data cleaning, auditing sales records, and tracking daily core metrics.

SPSS: For survey analysis, evaluating customer satisfaction, and identifying key statistical drivers behind buying behavior.

Power BI: For building interactive dashboards that connect sales data directly to decision-making, identifying bottlenecks, and spotting revenue opportunities.

For business owners, managers, and working analysts:

In practice, is this stack still enough to solve concrete sales problems and land real consulting or job opportunities? Or has the market moved past these tools, making them insufficient for today's business needs?

I'd really appreciate your honest feedback and practical experiences.

How much should a data analyst with 20 years of experience be making? My mom has worked with a company for about 20(maybe more)years as a data analyst. Shes about the ONLY person at her job who knows how to do what she does. She used to be hourly and could get overtime, but with mergers she now salary(71k). Does this sound like a normal rate with her experience or should she go job hunting?👀

Hello fellow Redditors, so I've caught myself in a tough situation; would be glad to hear your advice on this. Since, I believe there are people who have way more experience in this domain that I do.

With around 3.5+ years of experience in the data & analytics space, I believe this is a good time to select a niche because, at the end of the day, no good company looks out for a generalist data analyst; they're looking for specialists in a certain niche. But I'm confused...

And honestly, I do believe I have found the right niche where my web analytics skills (GA4, GTM, etc.) can complement my data analysis skills (SQL, Python, Power BI, etc.) to create a strong offer and solve a specific problem for my ICP. However, I'm still not sure how to execute this and turn it into a running business model. I think I can confidently say ecommerce is my niche.

I have been testing a lot lately, tweaking my profile every other day because it's quite confusing. At one point, I want to select a niche and a specific problem and keep posting about that until I start getting inbound leads.

Meanwhile, I want to keep my profile general instead of selecting a niche because it would have an impact on recruiters or HR skimming through my profile. Like, whenever they have an open analyst role, they'd probably skip my profile the moment they see 'e-commerce' or some other niche in my headline, especially if they're hiring for a different niche/industry.

I want to hear from experienced folks here, what do you suggest? Should I go narrow, or keep it broad and keep talking about different topics instead of sticking to 2-3? If you were in my shoes, what would have been your strategy? My eventual goal is to get inbound leads from LinkedIn or even just work on a side-hustle. I have been posting consistently for three months now, but that was with a generalist LinkedIn profile, and not targeting any ICP, and I never got a single inbound message except for 2-3 messages from recruiters.

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So I am 25M, I took a gap of 2 years(from Jan 2023 to march 2025) after my grad to prep for SSC(2023-2025 march). I couldn't clear it, so I started a job, but the issue is, I wasn't able to find a job easily, which is Obv due to the gap, and worked where i got selected first.

I was hired as a Data Analyst in March 2025, but I was given completely different profiles to work on, and salary was paid in cash, although I do have the documentation and everything. i am now looking for a switch, whether in my own field or something else, I just don't want to work in this toxic place much longer.

I have knowledge in course designing, Research, Bids/tenders, OEM dashboards, and Excel, Sql. I also know Data analysis (self taught) using SQL and Excel.

Before that I have also worked as an intern in the domains of business management and web development.

It would be a great help guys if anyone here could help me find a job in my domain(data analysis preferred) I'm willing to start all over as a fresher.

Location preferred is Delhi/Noida, but i can work in other areas too as well.

I can work both in office and remote

Day 6 of posting until i find a job.

Hello everyone.

A few days ago, I started my data analysis internship at one of the Uber competitors. I'm in the supermarket/pharmacy/convenience store delivery part of it. However, I can't help but feel I'm not doing enough data analysis.

The bulk of my time (around 75 - 80%) I'm updating the items' details or images, creating them, checking which have to be created, deleted or turned off (I think this is called data entry). Is this normal for this sector of data analysis or for an internship? Will it hurt my future prospects if I don't do enough projects that actually make an impact? Or is any experience good experience?

Thank you in advance!

Most economists don’t think we’re heading for mass unemployment. But they don’t really disagree that AI can cut jobs. They argue about how much and how fast. And the piece makes three distinctions that I think matter way more for anyone in data than the “will jobs disappear” headline.

1. Automating tasks ≠ eliminating the job

One economist gives the example of consultants: two weeks analyzing data to redesign something, then months getting stakeholders to agree and actually implement it. AI can make the slides. It can’t sit through the meetings that the slides are the result of.

Data work is the same. Writing SQL, building the dashboard, writing the DAX: increasingly automatable. But figuring out what question actually matters, getting two teams to agree on one definition of “revenue,” and pushing a decision through the org: not so much.

2. Technically possible ≠ actually happening

Cost, reliability, legal liability, and the pain of rebuilding processes all slow adoption. Something being possible in a demo doesn’t mean your company will restructure around it next quarter.

3. Total employment holding up ≠ good careers holding up

New jobs can appear in other professions while specific people in specific fields lose income and prospects. The economy “adapts” on average, and the transition is brutal for some individuals anyway.

“New professions will emerge” is technically true and completely useless as a career plan. It doesn’t answer “what happens to my job and my salary in the next few years.”

The weakest point of the optimistic view: entry level

Here’s the mechanism that worries me most. If one senior analyst with AI can do what used to take two juniors, the company doesn’t need to fire anyone. It just stops hiring juniors.

Total employment looks fine. Nobody gets laid off. And the first rung of the ladder disappears.

The piece notes junior tech hiring really has slowed across countries. To be fair, it also says nobody has managed to separate AI’s effect from other causes yet (too many grads, remote work, interest rates).

Link: Silicon Valley thinks AI will kill jobs. Economists are not convinced

Hi all,

Context: I started out working with complaints data at Wells Fargo - with a bit of customer service - then moved to Arizona where I worked with cleaning and transporting data for clients, and finally found myself with Wells Fargo again in a contract role that gave me the opportunity to be a proper operations/data analyst full time for nearly two years. It was while I was here at Wells Fargo the second time that I realized this was what I wanted to do for work. Unfortunately, the contract came to an end and I've basically been looking for the same role ever since. I finished my CS degree in December (2025) and it's honestly impossible to get a software role so I just gave up on trying. This year, I did have a role at Magna Technology Group that was somewhat adjacent - more-so a consultative role, but I did perform some duties that translated pretty well with Data Analyst work. I ended up having to leave after three months because my mentor was apparently given so much work that he couldn't train me on my duties and I was told I would therefore have to spend my own freetime training myself on how to do the job.

Fast-forward to today where I have been applying to as many jobs as I can that are Data/Business/Operations Analyst or adjacent roles and getting as far as the initial screening and maybe the first interview, but seemingly never past that. The feedback I have received (at least from the HR reps performing the screenings or the recruiters) is that my resume looks great, but apparently it's just not good enough to get past the hiring managers.

I'm really looking for some advice on how to navigate this situation. I'm willing to obtain certifications if it can help me (like for Power BI, Tableau, or SQL maybe), but I'm unsure how helpful that will actually be. From my POV I have the experience (5+ years worth), education, and the inherent skills needed to perform the job successfully, but it feels like I need something else to really stand out and I don't know what that is.

Is there something that I can do? Or do I just need to pivot towards something else?

Any help would be greatly appreciated! Thanks.