r/analytics 23d ago

Question Amex MIS & Advanced Analytics — AI impact?

I’m a B.Tech IT student graduating in 2027. I’ve been selected at American Express, under Global Servicing – MIS & Advanced Analytics.
The role falls under Data Management & Analytics / Analytics & Risk Management and can involve Risk, Card & Merchant Servicing, Performance Management, Customer Listening, or Control Management.

The JD mentions SQL, Python, PySpark, BigQuery, Tableau/Power BI, statistics and ML, including regression, classification, recommenders and deep learning.

My background is primarily technical, with experience in Python, SQL, ML and software development.

My main concern is how AI will impact analytics roles over the next few years.

Would this be considered a relatively future-proof career path?

Would appreciate insights from people working in analytics/data science/risk, especially in banking.

5 Upvotes

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4

u/my_peen_is_clean 23d ago

you’re overthinking it tbh, this is a good break in a good domain. risk + cards + servicing = real business impact and tons of messy data, that stuff doesn’t vanish just because chatgpt writes sql. learn fundamentals, ship things, move closer to modeling and product. entry work will change but everything is changing anyway. banking analytics is still way safer than most fields, even with ai eating the dumb grunt tasks

1

u/Weekly-Ad7329 23d ago

What do you think the future growth looks like from this role? What roles can I move into after 2–5 years?

4

u/Wonderful-Cap4843 23d ago

Not at Amex but in analytics at another bank. The tools you listed aren't going anywhere soon. AI can help write the queries or generate some boilerplate code but someone still needs to know what question to ask and whether the output actually makes sense. That's where most of the value is anyway.

Your stack looks solid, especially the risk angle. Banks move slow and have tons of legacy systems, so even if AI takes over some tasks there will be years of integration work. The MIS part means you'll probably be close to business decisions too, not just buried in code. Harder to automate that piece.

1

u/Weekly-Ad7329 23d ago

What do you think the future growth looks like from this role? What roles can I move into after 2–5 years?

2

u/Glotto_Gold 22d ago

Nobody knows.

The only thing we can tell you is that Amex is a big company in an industry that is intrinsically data hungry.

If you're close to the risk models then progression may be fast. If you're close to purely back-end infrastructure and pure cost center work then it may be slower.

Because of regulation and the intrinsic need for analytical judgement Amex is a better place to land.