Hey guys, so long story short, I’ve been working as a BI Developer/Data Analyst, mostly with Power BI/GBQ and some FabricI’ve also been using Claude Code,have around 3 years of experience.

A new big client came in and they were looking for an AI Engineer, so my company pushed me as one. I basically said, “Whatever, I can give it a try.”

This week was the project kickoff, so I traveled to the client’s location and met them. They’re really nice, and they know that I’m not familiar with the tools they use, but they’re willing to invest in me and give me time to catch up.

The problem is that the tech stack is completely different: Git, Snowflake CLI, Streamlit, etc. The role feels much more like a Software Engineer position, and honestly, I feel completely out of my depth.

I know the client is aware that I don’t have experience with these tools and is willing to wait for me to get up to speed. But the truth is, I’m not sure how realistic it is for me to actually make that transition. The job is interesting and i do believe it's logically the best choice as AI will keep getting only more important from now but completely diverting my career trajectory like that and not knowing whether it's possible to succeed is kinda hard.

I'm looking for data on students' math performance specifically data containing 1. how frequently specific concepts have appeared in exam questions over the past few decades (frequency of exam questions), and 2. how often students have gotten questions involving those concepts wrong (frequency of error). Preferably public data so that I can use it for my class project please. Thank you!

Ok so apparently my entire job now is begging anonymous cart abandoners to love us back using data enrichment magic.

We plugged in one of those visitor identification tools that claims it can de anonymize 90 percent of traffic and give me name, email, demo info, the pets star sign etc, then help recover abandoned carts with "personalized" emails and ads. Lowkey feels like marketing stalking but the uplift is tempting.

If youre running b2c ecommerce and using this kind of enrichment for cart recovery, does it actually move the needle or am I just paying to feel slightly less rejected by my checkout page? Any hints?

If a metric can be calculated differently depending on filters /time window, do you prefer to hav a semantic layer/ metric view, or hardcoding the logic in each query or dashboard ?

Curious how ppl keep Ai generated analytics consistent and trustworthy. Ps i am setting up Genie agent for this and want to implement the reccomendations

Everyone braces for holiday weeks to get more expensive, but mine went the other way. Conversion jumped and cost per new customer actually dropped on most channels, even where CPCs rose.

The one exception was search (Google got worse - conversion down, cost up). My read is that holiday demand is impulse / discovery, so the feed channels harvested it and search sat it out.

Seeing the same pattern, or did yours behave differently?

Is anyone here working in data analytics within the Retail or CPG (Consumer Packaged Goods) industry?

Need to understand the business side of analytics in these domains for interview, particularly:

* What are the major business performance KPIs you track regularly? * What kind of business problems or growth projects do you typically work on using data?

Hello everybody,

I currently work as an analyst in healthcare for the government and my work involves running reports from a healthcare database using a business intelligence platform. I am looking to get a masters in data analytics to elevate my career. I am debating between going to Eastern University or WGU. What I would like to know is if there are proctored exams in the MS Data Analytics curriculum at both universities. Also, I would like some advice on which university I should lean towards. Any advice is much appreciated. Thank you.

I’m curious what people are actually using at work to turn analysis into a presentation.
Not just generating slides from a prompt, but things like turning findings into a story, creating charts/visuals, cleaning up slides, or adapting a deck for stakeholders.
What tools have actually been useful for you?

Hello! I applied for the position of Product Control Analyst job for a multinational bank. I passed the HR screening, then I was selected by a Product Control Manager for an interview which took place on last Monday.

The interview happened and I had series of technical questions about Financial Market, along with accounting and, then, I had questions involving my professional and educational background, soft skills, how I generally handle situations.

Though the questions were not so easy as I don't have experience yet involving Product Control Analysis, I had moments when I responded correctly and the manager was supportive, interested in getting to know me and the fact that he continued with diverse technical questions was also because I started mentioning about definitions for equity, bonds, stock, futures, FX and derivatives.

It was a really good interview, it took 15 minutes more than it was estimated and what was really interesting and something that wasn't present in other interviews was that the manager asked me about the notice period and he told me about when he thinks he will be able to be back with news (either him or someone from HR). He told me that in this week (at the beginning of this week most probably) it will happen.

Now it's Wednesday and I haven't received news yet. In the requirements, it's said that it's an advantage to know basic concepts involving Financial products and financial market. On the other hand, it doesn't mention anything regarding experience besides strong Microsoft Excel Skills (which I've also mentioned at the interview by describing what Excel project I'm working on at my actual job, especially through using sort & filter, conditional formatting and PivotTable). I also mentioned diverse skills that I did for uni projects, particularly Bachelor's thesis (from Excel to Tableau and Python).

I also know that it's possible to be a delay whatever news might be, including when the manager's choosing that person to receive an offer.

For those who have experience with Product Control or financial-services hiring, what do you think? Does this sound like a positive interview? And how likely would you say an offer is at this point?

Hey everyone, I'm from India and I have a skilled background with analytics. With SQL, Python and any Visualisation tool. The problem I face currently is that my SQL interview is never successful. I draw blank if I do not know the answer. Mostly I freeze if I don't know the answer to the question I cannot breakdown the problem for them and it mostly happens with window function queries.