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I was interviewed at EY UK on 7th Sep. It was quite smooth. Since then I haven't heard anything back from them though interviewer claimed SLA to get back with outcome of interview is 48 hours. On portal it still says I'm in hiring team phase. It was level 1 interview.
Should I take this delay as rejection?
I’m just here to flex my new badge
Any requirement on alteryx tool?
Additional Posts in Data and Analytics in Advertising & Marketing
Any recommendations for tools to track memes?
Mentor
Definitely an analyst.
Data collection, storage, measurement, reporting, insights will where you start and will give you a ton of value. look for an analyst with a few years of experience so they know how to get started.
A DS will be $$$$ and most of the work will be below them.
we have an analytics team of 30-35 and only have 2 people who are even remotely close to data scientist.
Thanks!
Relatively senior analytics person with agency experience who understands what data science can do, even if they aren’t a data scientist. Data scientists are in extremely high demand which means not only do they command high salaries, but that you’ll be paying a premium for the skills even if you get someone who doesn’t understand what the skills should be used for. You need someone who doesn’t just understand your data questions, you need someone who knows what data questions you don’t even know to ask. That’s an analytics generalist, not a data scientist. Just make sure it’s not someone who’s only ever done “reporting” and Datorama dashboards.
That was really helpfull. Thanks
If you need to build a data pipeline from scratch, you need a data engineer first. Data engineer allows data scientists to work on clean data optimised for amalysis
I was here to say the same response. You probably do need an Analyst not a DS. But first, what is your data infrastructure right now? If you don't have a database set up already then a SQL analyst would have nothing to query. So your first step is to make sure your data is stored in a proper way.
Analyst on this situation
Well here's the question I'd ask you as you consider your next hire:
What is the goal of your analytics hire? Is it to shape the agency's analytics strategy? Then you'd want a director level, but be cognizant that the more time they spend doing the in-the-weeds work will detract from their leadership work.
An analyst can help build the reports, communicate results, and build insight, but probably not give you actionable vision on growing out a practice.
Also be conscious that the practice development will require tech/measurement investment to empower and complement your people resources.
A single person can meet the goals you need today, but few analytics folks worth their weight will not want a role in a visionless analytics department.
Ideally, you will want some data visualization tool for your data analyst to use.
I work at a small company as their only data analyst - we went from using spreadsheets/excel when I started to using Domo. Domo is really good for getting set up for data visualization when you don’t have a lot of data structure to start off with and takes away the need for a data engineer.
It’s really difficult to specify the skills you need without experimenting first. I suggest you find a specialist data analytics agency/consultancy for your first project until you understand more about what you need.
you need an analytics engineer (the new data engineer/data analyst hybrid role) that can source, clean, model and analyze your data. I don't think a data engineer will satisfy your needs and an analyst or scientist on their own will be spending too much time debugging ingestion to actually be able to analyze things.
I don’t think it’s a unicorn. If the OP had a 100 person agency or was wanting to analyze petabytes of data I’d say it was a unicorn. These days with a few off the shelf tools a single person can be extremely effective without sprouting a horn or wings
You should hire Data Engineers first
Imo, one Data Scientist to help manage these analysts. They will be the ones who can give training & development... and lead difficult client consultancies whenever the need arises.
Mentor
You hire an analyst with experience. That’s not necessarily a data scientist.
A data scientist won’t help a strategist. An analyst will (Or a good one at least).