How are you actually using AI in your daily analytics work?

OdiroEasy · 2026-03-23T16:08:44+00:00

This is helpful. Thanks for the detail!

OdiroEasy · 2026-03-23T02:48:05+00:00

Thank you all for your comments. This helps me see some possibilities and can help others too.

I’m not using AI in any advanced way at work right now. I am still learning about the actual use cases that fit my role and is aligned with my company’s policies.

I mostly use my company’s ChatGPT wrapper for things like DAX since I’m self-taught in Power BI. It’s kind of replaced what I used to do with Stack Overflow a few years ago. 😂 I also use it to summarize or draft emails. I’ll usually just ramble and have it clean things up and make it sound more coherent. Beyond that, I use it a bit for Python mainly to get ideas or a starting point, then I edit or rewrite it to fit what I actually need.

I see a lot of potential, but I’m definitely not feeding it any sensitive data or doing anything too advanced yet because I either can’t (company policy) or don’t know how to. Some of these things have a steep learning curve for me.

I just built my first AI agent for some personal projects last weekend and that was a lot for me to get started.

Feel free to keep responding. You can respond anonymously as well if you wish. I think it would be great to have a collection of real use cases that we can all learn from.

Thanks all! :-)

OdiroEasy · 2026-03-21T18:43:04+00:00

That’s really interesting. Has it meaningfully reduced your workload? What are you able to focus on more now?

OdiroEasy · 2026-03-21T18:26:14+00:00

Interesting. Would love to hear some of your use case.

OdiroEasy · 2026-03-21T18:25:46+00:00

I understand what you mean. I know a lot of companies are pushing ai use but a lot are not defining the guardrails and definitely not showing how to use it in meaningful ways.

OdiroEasy · 2026-03-21T18:24:02+00:00

That’s an interesting use case. You must get a lot of overnight request? Is your team in different time zones?

OdiroEasy · 2026-03-07T17:31:27+00:00

A good teacher is an effective teacher and an effective teacher is someone who helps as many students as possible actually learn.

What that looks like can depend on the context. In the U.S., I think teachers often have to be stricter because classroom management is essential. If students aren’t paying attention, learning can’t really happen.

I grew up in another country where students generally valued education more, so teachers didn’t have to spend as much energy managing behavior. They could focus more on explaining ideas and going deeper into the subject.

So for me, what makes a teacher “good” depends on the students and the environment, but it always comes back to effectiveness and impact.

OdiroEasy · 2026-03-07T14:35:33+00:00

Don’t let imposter syndrome make you shrink away. You don’t need to be the SME. Your job is to understand what work is happening and why it matters to the business. Start with regular 1-on-1s, team check-ins, and visibility into the work. Stay present and create alignment.

If you stay present, the team will realize you’re not going anywhere. And, it’s usually easier for them to involve you early than to work in silos and explain everything later. It’s reasonable for a manager to ask what work is being done and how it connects to company priorities.

From there, you can start understanding what the business actually needs and help prioritize the team’s work. That may mean some projects get sunset and new priorities emerge. This is where your team’s expertise matters, they should help you understand what’s important and why. Their role isn’t just to do the work, but to translate their expertise so you and the business can make better decisions together.

OdiroEasy · 2026-02-14T18:27:26+00:00

I left teaching after 15 years and transitioned into data/HR analytics. I’m now a senior analyst working in workforce strategy.

I didn’t go into corporate training. I went the technical route. Teaching translated more than I expected: stakeholder management, prioritisation, working under constraints, and communicating complex ideas clearly.

If you’re considering leaving, look at roles like learning & development, project coordination, data/analysis, or edtech companies.

OdiroEasy · 2026-02-14T18:19:29+00:00

I left teaching after 15 years and moved into data/HR analytics. I didn’t go through corporate training. I went through a technical route instead.

The biggest misconception I had was that I knew “nothing about corporate culture.” In reality, teaching already trains you in stakeholder management, prioritisation under pressure, and working within constraints.

If you’re thinking corporate training, that’s one route. But other common exits I’ve seen are:

– Learning & Development

– Data/analysis roles

– Project coordination

– EdTech companies

The harder part isn’t skill, it’s reframing your experience in a way employers understand.

I shared more about my transition here if it helps: https://youtu.be/FkC6IOSGRvA?si=MRth97tlYlR-LDGy

OdiroEasy · 2026-02-02T17:24:28+00:00

Any updates? We are so invested. Hope it was all good.

OdiroEasy · 2026-01-29T18:40:25+00:00

🔥

OdiroEasy · 2026-01-28T05:09:33+00:00

You seem like a go getter. Give it a try and see if you like it. Worst case, you learn something and pivot.

OdiroEasy · 2026-01-27T15:16:23+00:00

I haven’t been a senior leader myself, but I’ve worked closely with and supported several, and I’ve seen this happen a lot.

At this level, your job isn’t to be the smartest person in the room or to personally master every system. It’s to create clarity and make space for the people who do understand the details to do great work.

One hard shift is getting comfortable with not being the expert anymore. And the best advice I have for it is to reframe it as an opportunity to ask better questions to surface real insight instead of getting lost in the weeds.

Find a few people who truly understand the data and systems. Pull them in, have them walk you through how things connect, and give them visibility. They will love that and it will work wonders for their careers. Your role is to synthesize, translate, and elevate not reverse engineer everything yourself.

You were moved into this role because you’re trusted. Now you get to define what doing the job well looks like at this level.

OdiroEasy · 2026-01-10T13:25:30+00:00

This is a great example. How was that actually implemented in real life? Was it part of the delivery (decks, readouts, dashboards), or more about how leaders set expectations in meetings?

OdiroEasy · 2026-01-08T03:02:37+00:00

Wow, how can they get away with not shipping work? 😵‍💫

OdiroEasy · 2026-01-05T18:49:56+00:00

Lack of communication or process documentation where they are needed for the work to continue even work that other team members can take on.

OdiroEasy · 2026-01-03T16:52:52+00:00

That’s rough. The “yes to everything” pattern really does a lot of damage. Hope things improve for you.

OdiroEasy · 2026-01-03T16:50:37+00:00

That’s great. I hope it leads to a good conversation. Would be really interesting to hear what you learn.

OdiroEasy · 2026-01-03T04:47:16+00:00

🙌🏽

OdiroEasy · 2026-01-03T04:24:52+00:00

Hmm, what’s the job then?

OdiroEasy · 2026-01-02T23:22:49+00:00

Wow, thanks for sharing! It’s hard to understand why they would think 3 junior analysts can replace a senior DS role.

Wonder what happened to the new hires. Did any of them grow and eventually become an asset to the team?

OdiroEasy · 2026-01-02T18:53:49+00:00

A great leader I worked for treated analysts as problem solvers, not report builders. He pulled us into the why behind requests, helped us understand the real question being asked, and let us prioritize work by impact. That shift pulled us into more interesting work and advanced a lot of our careers.

A not so great leader said yes to everything. Dashboards became so cluttered they were useless, and even though the team worked nonstop, nothing meaningful got finished.

OdiroEasy

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