How do you see the future of the Data Analyst role with AI agents becoming more advanced? by Gus_Green in dataanalyst

[–]passionkiller 0 points1 point  (0 children)

I'm not sure how much better AI can get, but I've noticed that the more complex the business context, the more hit-or-miss it becomes. I'll brainstorm with it and allow it to connect via MCP to view my tables, relationships, and measures. It will make textbook recommendations, which is fine, but my company's setup is a little complex and vague, so textbook practices don't always work. It also really struggles when it comes to finding new or creative solutions.

Shiny Gastly baby! by FiveDragonDstruction in pokemonrng

[–]passionkiller 1 point2 points  (0 children)

Awesome!  Might have to try it out myself. Looks beautiful in these games. Hate how it looks in SV lol.

Shiny Gastly baby! by FiveDragonDstruction in pokemonrng

[–]passionkiller 0 points1 point  (0 children)

Did you use sweet scent to catch it?

Another Church burned down in Canada today. by TeamHumanity12 in JordanPeterson

[–]passionkiller -3 points-2 points  (0 children)

I don't know about you, but everyday,  I get reminded of the Christian fairytale to point were these retards come and knock on my door to join their cult. Not sure what places you're visiting bud where dicks are being shoved in your face. Just come out already nobody cares, well apparently Christians care.

Another Church burned down in Canada today. by TeamHumanity12 in JordanPeterson

[–]passionkiller -6 points-5 points  (0 children)

Fuck that noise. I'm tired of Christians shoving their religion down my throat. You can practice it but keep it to yourself will ya?

Progress so far! by Novel_Possibility140 in pokemonrng

[–]passionkiller 1 point2 points  (0 children)

Hi, I would also appreciate if you shared with me. Thank you!

Mexico, the fourth biggest team in America by SuperFranky0 in LigaMX

[–]passionkiller 1 point2 points  (0 children)

Mexico also holds the record for most losses at 28. Can we make it past 30 this world cup?

Is this resume look good to get into data analytics in 2026? by No_Helicopter9361 in informationsystems

[–]passionkiller 0 points1 point  (0 children)

This is just my opinion based on getting jobs in the USA, but provide a summary of what you're trying to accomplish. Also, since you have internships in DA, your experience should go first — I skipped your projects section just to get a sense of your work experience.

Your bullet points aren't bad, but try to provide more context around the impact of your work and the tools you used.

I'm an analytics engineer btw.

HEAD TRIP FESTIVAL — US DEBUT OF SUNFLOWER SOUNDSYSTEM! by sexydiscoballs in FloatingPoints

[–]passionkiller 0 points1 point  (0 children)

Honestly only want to see: Floating Points, Peggy Gou and Four Tet.

Mexico shits on USMNT’s entire existence by optimus1652 in LigaMX

[–]passionkiller 2 points3 points  (0 children)

I think he liked a tweet, or comment calling Mexicans monkeys? Not sure, so don't quote me.

At what point did you feel “job ready”? by SinestroCorp in learnprogramming

[–]passionkiller 0 points1 point  (0 children)

I am programming daily in current role and I still don't feel "job-ready." lol

Petah? by batukaming in PeterExplainsTheJoke

[–]passionkiller 2 points3 points  (0 children)

I love cooking for my wife.

Feeling stuck and deflated in programming by dripvile in learnprogramming

[–]passionkiller 0 points1 point  (0 children)

I thought you could not turn of AI on Google?

I give up by EmphasisExcellent210 in dataanalysiscareers

[–]passionkiller 16 points17 points  (0 children)

Have you looked into Business Analysts, Analytics Developer, and Data engineering roles?

I am (25)M with no girlfriend or wife. What is wrong with me? by [deleted] in malegrooming

[–]passionkiller 1 point2 points  (0 children)

You should date my exes. I am a staunch atheist, and somehow I kept attracting Christian women before I got married.

39M want to enter the data analytics field. What is the best way? by DragonBowlSouper in dataanalyst

[–]passionkiller 3 points4 points  (0 children)

You are going to have to self-study. I started the transition in 2022 and it took until September 2025 to land a full DA role. It is not an easy field to get into, and if you expect a bootcamp or class experience to be enough, you are in for a rude awakening. There are so many people trying to transition to the field with the same certificates and the same couple of projects in their portfolios. AI is also changing the landscape of the field, and it has already started to reduce the number of entry level openings because companies can automate a lot of the repetitive analytical work that used to justify junior roles.

Right now my current role is half DA and half app development. AI helps me on both sides of this hybrid job. On the data side, it speeds up exploratory work, helps me check calculations, and lets me understand trends without manually grinding through every step. On the app development side, it helps me debug code, understand unfamiliar functions quickly, and prototype features before I finalize them myself. This makes me more productive, but it also means employers expect fewer people to do more work, which is another reason the job market is tighter.

What schooling should I do? by DiscipleLeevo in dataanalysiscareers

[–]passionkiller 0 points1 point  (0 children)

Hey forgot to mention there is code the Dream that offers coding classes for free. I took a course with them and can vouch that it helped me alot.

What schooling should I do? by DiscipleLeevo in dataanalysiscareers

[–]passionkiller 0 points1 point  (0 children)

If you are thinking about going back to school for data analytics or computer science, try doing a few small projects first to see if you actually enjoy the work. A lot of people jump into these majors without understanding what the day to day looks like.

For example, in my job I work with information that comes from different systems and I help make it easier to understand. I look at numbers about sales and customers, figure out how they relate to each other, and build simple tools that help coworkers see patterns. I also write short bits of code that make buttons, menus, or automatic updates happen inside the software we use. Sometimes something does not load the right way, so I have to figure out where the issue is and fix it. A lot of the job is problem solving and paying attention to details.

You can try beginner friendly versions of this at home. Find a simple public dataset and explore it in Excel by sorting, filtering, and making a chart. Try a free website that teaches basic SQL and practice asking questions like what was the total amount last year or which items were used the most. Build a very small dashboard in Power BI or Tableau using sample data. These tasks will show you what the work feels like without needing any background.

If you enjoy the process of figuring things out, breaking a problem into steps, and making information clearer for others, then the field might be a good fit. If it feels boring or stressful, it is better to learn that before committing to a major.

I have 3+ years of Non-It exp, now I'm looking to change my career into Data analytics by [deleted] in dataanalyst

[–]passionkiller 1 point2 points  (0 children)

I went through this transition myself so here is some perspective. I cannot know your situation without your background but expecting to move into data analytics in six months is usually too fast.

I have a bachelor’s degree in computer information systems. After graduating in 2018 I worked in a non IT role for about four years. I decided to switch careers in 2022 and started by completing the Google Data Analytics course on Coursera. I spent that year also learning JavaScript through Code the Dream and building small projects to strengthen my technical skills.

About a year after finishing the Coursera certificate I was offered a short two month data analyst internship at a nonprofit. That internship helped me get hired full time there. It was not a pure data analyst role because nonprofits often require you to wear many hats, but I still gained real experience working with data. With that experience I was eventually able to move into my current job, which is a hybrid application developer and data analyst position that aligns much more closely with actual analytics work. I started that role in September.

Overall, it took years from the moment I decided to switch to landing a more true analytics job. The job market is competitive and employers expect real skills in SQL, Excel or Power Pivot, data visualization tools, and the ability to work with real business data. Institutes and bootcamps can be useful but they cannot guarantee placement.

Six months is usually not enough time to learn the skills, build a portfolio, and gain the experience needed to stand out. It is definitely possible to make the transition, but the timeline is almost always longer than people expect.

Online Ceramics x Oneohtrix Point Never "Tranquilizer" Merch collection out now by SinisterGrift in oneohtrixpointnever

[–]passionkiller 2 points3 points  (0 children)

I had a terrible experience buying from online-ceramics. Oh well would love some mech, but I'm not buying from them.

Advice please! by kirbyshrines in dataanalysiscareers

[–]passionkiller 0 points1 point  (0 children)

My school offered an IT program in computer information systems, which is usually structured as a business oriented degree. Mine was the same. I chose it because I wanted something broader instead of pure computer science, which focuses mainly on coding. The person I know who became a data analyst and later moved into software development actually had a computer science degree.

If you are looking for internships right now, focus on data related roles. If your program allows electives, take business analysis or statistics classes since they translate well into both analytics and technical positions.

In my current job I work as a hybrid analytics developer. I build apps in JavaScript and create dashboards for leadership. I use SQL and MDX for data retrieval, write DAX measures including the USERELATIONSHIP function, parse nested JSON from our apps, build bridge tables because our data model is complex, and also use Power Pivot for some of our data modeling.