Intuitsjhebdb

Data analyst dilemma

I have been feeling super frustrated recently as a data analyst. I paraphrased below but those words come from my stakeholders 1. My implementation partner always suggests ‘let’s just roll it out without testing because the implementation is too difficult’ 2. Let’s take the dashboard down because we don’t want other teams to have visibility on how badly we do - because the pipeline constantly breaks… Any thought? Is it only me or it’s common for data analysts to handle this kind of mindset.

Instacart zRQD51 May 18, 2023

You’re working with morons. Keep doing what you know to be the right way of doing things, and don’t let them bring you down with them.

Intuit sjhebdb OP May 18, 2023

Thank you! But working with morons is suffering 😞

Amazon BIE_aws May 22, 2023

Morons are everywhere. I have been facing similar people as well. I have come to believe 90% people in corporate are morons with self serving agendas and complete disregard to what is best for customer. Not sure how long can I survive in Corporate

Amazon JassyJeff May 22, 2023

When I got to FAANG I really expected better.

Amazon Gadar May 22, 2023

Lol! Expected the same but amazon sucks! I am sure other FAANGS too. Overhyped companies.

PayPal TheMusical May 22, 2023

I'd say dont follow the guidance of your toxic colleagues/manager. If that's too hard since you cannot practically push back, Put all the things in a stringent format in writing (email preferred) of the risks associated with the malpractices. cc their boss if possible.

FedEx moce44 May 22, 2023

Depends how much volume of data you are working with if its leading to performance issues, at enterprise level it is common issue, but again without proper UAT you cant productionize dashboards. I think you need to bring this to your manager or principal whosoever is incharge, because in future this may backfire on you as developer. I am not sure what are roles and responsibilities of implementation partner but it has to be well defined. Discuss it with your superiors.

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gomj01 May 22, 2023

Why are your pipelines failing? Sounds like a data engineering issue more so than data and reporting issues. Although I’m sure when reports and dashboards are stale your team is the first to hear about it.

JPMorgan Chase wtfmonkey May 22, 2023

This! The dashboard that you out out to the public should work almost all of the time. Anything less is a problem. If it breaks constantly, take it down.

Intuit sjhebdb OP May 22, 2023

Hey sorry maybe it wasn’t clear… it’s not my dashboard that has breaking pipeline issues. I support campaign analysis and I built a dashboard to monitor campaign performance which shows bad result. The reason being the pipeline that supports campaign reach constantly breaks

JPMorgan Chase wtfmonkey May 22, 2023

As an analyst you should be able to provide different confidence level of your analysis, based on the tools availed to you. If stakeholders are running with your analysis with less than 100% confidence due to lack of testing, that means they have seen enough thanks to your analysis. It's a win for you

Google kmdc50 May 22, 2023

A big part of data analytics is stakeholder management and Also making sure the pipelines that feed your insights is up to date and running.. From what i can sense you do not like that part. So yes. Change of careers. A data analyst not only provides insights but also appropriately pushes back when someone is not looking at the right insights. If you cant do the one thing your job demands, you atleast should not be complaining about it. Change your situation instead of blaming it.

Atlassian MCB!=MVP May 22, 2023

Wow. You just ripped into op without giving any constructive feedback

Meta ChatGPT-3 May 23, 2023

I tend to agree but would like to add encouragement that you CAN build these skills. But as an analyst it’s your job to not get rolled over. Escalate and reprioritize for the people and projects that don’t put up so much resistance.

PG&E xKjV23 May 22, 2023

1. depends on your audiences, for smaller teams, i roll it out and have them tell me if they’ve noticed any discrepancies. 2. You are always going to get this, esp from underperforming teams with things to hide. It’s part of a data analysts’ job to reframe and motivate them to have more transparency, there’s no performance improvement without transparency.

Atlassian MCB!=MVP May 23, 2023

How do you reframe without hurting the egos of senior stakeholders?