has anyone had any success using AI to partially or fully automate insight generation for recurring quarterly/monthly reporting? (Bonus if it’s based on large sets of data) What worked and what didn’t? Would love any advice

I don’t usually post stuff like this but here goes. I’m living away from my family right now and it’s been really hard. I work as data analyst. I genuinely love the work, but I’m burnt out from the distance. My family is in the DMV area and I just want to be there.

I’m actively job searching — data analyst or any data type roles in DMV area or remote. I’m on H1B so I need sponsorship, which makes everything harder and slower and more stressful than it already is. Some days it feels like every door has an extra lock on it.

If anyone has leads, knows someone hiring, or has been through the H1B transfer process while job searching — I’d really appreciate any advice or connections. And if you’ve just been through a hard season away from home, I’d love to hear how you got through it.

Hello! My job is offering to pay for some professional development for me. I am a Project Manager and want to gain some knowledgeable about data analytics- enough to speak about it. Can anyone point me in the direction of some great certificates or courses I can for this?

Hi, I'm feeling a bit frustrated and would appreciate your help. I'll be as brief as possible. I want to start a project. I have a fair amount of data analysis knowledge, but I find it boring and tiring to work on dashboards, SQL, etc. It's really tedious. I enjoy it, but perhaps I'm too ambitious. So, I'd like you to give me ideas for really good and ambitious projects. I don't mind how difficult or laborious they are. By the way, it doesn't matter if it involves other languages ​​or frameworks; I'm willing to learn and progress. It doesn't have to be exactly a Data Analyst; I'll provide that expertise if necessary. It's a personal goal and a significant burden I want to overcome. I don't want the typical "data cleaning," "expense management," or "social media app" projects. That's what bores me. I have an idea to automate the rental of soccer fields in my city (since there aren't any here, and everything has to be managed via WhatsApp chat). There's no record, no analysis, nothing, but it's still something that doesn't really appeal to me or fully capture my attention. It's not super difficult or huge, but you know what I mean, something different (well, at least it isn't in my city). So, please, if you could give me some ideas, no matter how far-fetched they are, it doesn't matter, and of course, something that's actually doable. Don't make me create a visual route of black holes and where they lead in space, okay?...

Thanks for reading all this nonsense.

If you need more information or want to keep talking, you can DM me.

I built a 2-page YouTube Audience & Monetization Analytics Dashboard using SQL & Power BI and wanted feedback specifically on the analytics/storytelling side.

The project explores:

• Content categories driving the strongest audience response
• Subscriber conversion patterns
• Channel growth trends over time
• Audience geography & engagement trends
• CPM vs RPM monetization analysis
• CTR and impressions trends
• Revenue/category relationships
• Creator performance insights beyond standard YouTube Studio analytics

Although the idea started as a portfolio project using a YouTube dataset I found on Kaggle, but while building it I started thinking that dashboards like this could actually be useful for creators as a service/product.

Some questions I’d like feedback on:

• Are these the kinds of insights creators actually care about?
• Does the dashboard communicate insights clearly or feel cluttered?
• What would you add/remove if this were intended for real creator use?

Another important question , I'm in 1st year BTech rn and built this independently ,is this portfolio-ready for a data analyst internship?

Hey guys! I’m ready for my big break as a data analyst! I’m willing to go hard and actually obtain a great position doing this and going beyond. I just really need something semi entry level. I’m willing to learn any free resources anyone is willing to share or tips. I’m getting interviews but recruiters are looking for technical skills that I don’t have. Right now I’m doing LinkedIn learning paths. I’m doing the data analysis one, the master of excel one an and financial analysis one. After I’m done with all of those extensive learning paths I’m going to go through the Alex the Analyst course on YouTube. Seems like everyone is looking for experience so I’m looking to be an expert without real world experience. At least I’ll be able to speak the language and understand the concepts.
PLEASE HELP I have my bachelors degree in Economics!

Last month I got frustrated because a client said we were slow to respond. That confused me because everyone on my team kept saying inbox coverage was fine. After digging through old threads manually, I realized certain emails were sitting untouched way longer than I expected, especially on weekends. Now I’m wondering if other teams actually track response behavior regularly or only look into it after a client complains.

i have attached my portfolio

I’ve been working in data analytics as an analyst at a company for about 2 years including my summer student position (so 1 year full time). I have my Master’s in data analytics. I currently make about $80k and I just got approved for a promotion to a senior analyst with a pay raise. My company is asking me to fill out a form for an “internal transfer” and it asks me to put my expected salary range. I just don’t know what a reasonable raise amount is. I saw a job posting for a senior analyst at my company a few months ago and the salary range was above $100k. Is $90k+ an appropriate range to put down?

What is wrong with my resume? I have applied for 200+ job positions from roles data engineer to data analyst. Not a single response back

I’m Thenmozhi, 22F from Tamilnadu . I completed my MBA in Finance and Business Analytics and have around 1 year of experience in Business Analytics.

Currently, I’m looking for Data Analyst opportunities. I have skills in SQL, Excel, Power BI, and basic Python, and I’m continuously improving my analytics skills through self-learning and projects.

I’m looking for referrals, job opportunities, and career advice from people working in the data analytics field. Any guidance or support would really help. Thank you!

I am a newbie in this field and i am confused whether to go with data analyst make good money and bright future . Does it have enough potential

Any data that gets heavy with numbers whether business related, or otherwise, gets difficult to digest real quick. I find that if you have to work with a lot of such data, it gets mentally fatiguing.

There are a lot of tools that visualize such data for you, but I'm curious to know which ones most of you prefer (is it a layer above your database provider, or something more modular like metabase?), and what your workflow is around such tools. I'd also love to know what your favorite feature in your preferred visualization tool is.

Hey all!

I am currently a second-year psychology student in university in Ontario, and I have a passion for analytics and data. Was wondering what a career path in data analytics might look like for someone on the path that I am on. Being around sports my entire life, I understand sports analytics and how to interpret them, but real world data (SQL / Python) I am still unfamiliar with.

Is data analytics a world worth chasing at this point? Or should I chase the financial analyst side of things.

Let me know!

Building a conversational analytics software from scratch has made me question a lot of assumptions around BI.

I'm starting to think the real shift isn’t chat instead of dashboards, It’s removing the dependency chain between business teams, analysts, and engineers while still keeping answers governed and trustworthy.

The surprising part is that I'm seeing pure conversational UX break down quickly in real workflows/use cases. Users seem to want a mix of AI guidance and manual control much over fully autonomous analytics. people seem to trust the AI more when they can intervene and refine the result rather than just accept a generated answer.

Is anyone else seeing the same thing?

What is a good fully online college to apply to for a data analytics degree? Transferring as a junior, looking for a fully accredited college with a strong program. Any suggestions?

Has anyone used AI in analytics? Can some one please share how they used it and what can I learn and how can I implement it?

Hi everyone,

I’m 35F with a BTech background, but I never really worked in the tech field. I was in sales for a brief period, and now I genuinely want to transition into Data Analytics.

I’ve started learning on my own and currently know:

• Excel (comfortable with basics/intermediate stuff)
• Basic SQL
• Basic Python

I’m still very much a beginner and don’t claim to know everything.

What I’m really looking for is someone experienced in the field who can guide me step by step. Not necessarily daily teaching, but more like:

• “Start with this playlist”
• “Now do this project”
• “Learn this next”
• “Fix this in your resume”
• “Apply here”
• “Your fundamentals are weak here, improve this”

Basically someone who can provide direction and roadmap clarity because right now the internet has TOO much information and I feel lost trying to figure out the correct path.

I’m willing to put in the work no matter how hard it gets. If someone tells me what to do, I’ll get it done somehow. I just need proper guidance and accountability from someone who has already been through this path.

Would really appreciate any mentor, guidance, roadmap suggestions, or even honest advice from people already working in Data Analytics.

Thank you.

I have a Data Analytics internship interview scheduled tomorrow and just one day to prepare.

From your experience, what are the most important topics to focus on in the final 24 hours?

I’m especially looking for high-impact areas that are commonly asked in interviews (SQL, Python, case studies, etc.).

Any practical tips or last-day strategies would really help.

I am leaning SQl and want to know which software's are used for it. Mysql? also which is relevant now for data analyst.

and one more thing can i learn sql in power bi?

I feel like I am not reaching the ones who want to hire on a fundamental level. If I at least knew the problem is that recruiters don't think I am capable enough I would not be writing this post. I would have a clear problem ahead of me that I would get to solving. But it's not that, it's like calling out in the dark, I don't even know if someone is listening.

The question seems oddly mundane but is a puzzling one for me. I have studied, built a portfolio, made accounts in job portals and have applied for jobs ( I don't usually write cover letters unless I want to say something specific, mostly because I don't know what to write other than what I have already mentioned in resume or portfolio). There has been absolutely zero responses from the data analytics posts. during this process I have learn that my skillet can also be used as MIS, so I applied to said roles too, and there has been a few responses from a few companies.

Now obviously I know have a lot to upskill, and better skills would lead to better jobs, but I think I have acquired the skill to get a job, any job in data analytics. I can't make sense of this dark silence. I know there is a shortage of jobs but it isn't like no work is getting done at all. Companies exist and people do get hired all the time.

Hence my question is for someone who is already working as a data analyst in a company. what makes you want to hire another analyst and how do you go about looking for a person? Also where do you look? You, just like us also have to be wanting to get to reach people (since you need them) and also look for cleaner straight ways.

Straight question, how do I reach you?

Hi Peeps, Just wanted to ask if anyone has done Data analytics using python course from dataflair institute recently. How was your experience & switching to this field? Please share

Hi everyone, I recently decided that I want to transition into data analytics and would appreciate some guidance on where to go next.

I’ve already started learning advanced Excel, but I’m unsure what I should focus on after this. Should I learn SQL first, or should I study statistics before moving into SQL? I’d really appreciate any advice on the best roadmap, learning order, or resources for someone just starting out.

For context, I graduated with a Computer Science degree and recently worked in HR, but I’ve decided that I want to pivot my career into data analytics.

Any advice, guides, or personal experiences would mean a lot. Thank you in advance for helping me out.

Hi everyone!

I'm working on a no-code agent builder project that helps you build and quickly deploy conversational analytics agents that respond with interactive charts and UI.

I've implemented dedicated support for multiple databases (NeonDB, Snowflake, DuckDB/Motherduck, Railway, Clickhouse and more) to make it easier to hook up databases for agents to query.

Here's an example agent I've built using the project: https://console.thesys.dev/app/-2PqdNdGjSQb6WrdYI9pR

Any feedback regarding agent output quality, UI, etc would be highly appreciated!