I’m a back end team lead and I’ve been playing data guy (sql, scripting, admin) for a few months now on my project. I’ve been trying to laterally move to analytics for a while just because I like seeing numbers move fast, so now that I’m halfway there, what else do I need to learn? I’ve got full stack dev, SQL, Python, R, SAP reports, VBA, a little bit of the Apache pipeline stack, Power BI all under my belt. What’s that missing piece to move smoothly into data without taking a salary hit?

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You'll take a pay hit moving to analytics, more tech isn't a way around that. This is because analytics is business-first rather than tech-first. At the end of the day no stakeholders care that you have XYZ tool in your belt, the buzzwords are just nice to have. The only way I see analytics comp staying on par is with excellent business acumen that lands you a level or two higher. Idk if that counts as "no hit" to you.

The in-between where tech matters is MLE. This just means moving to a team of SWEs that focuses on that, or maybe to a support role on a research team. Not an analytics team.

You've already got the formal tech stack for either btw, assuming that "Python" is all the right Python libraries and not just the syntax.

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Ugh negotiation and people skill? It’s my understanding that SDE salary band is generally higher than DE/DS roles at same level so looks like you need to aim for higher rank or non IC role

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What would I need heads-down-skill-wise to basically be able to write my own ticket in that space?

Oh and I’m good at math, so there’s no cognitive ceiling really.

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