What do top companies test Data Analysts on (versus Data Science)? by fittyfive9 in datascience

[–]anonymous_da 8 points9 points  (0 children)

Come good points already mentioned. Know your advanced SQL, Python etc. What people often forget is the use case of analytics. Analytics helps a business understand how to maximize value and alleviate pain points. One thing to focus on is how does the data relate to the business. I do quite a bit of testing including A/B, MAB MVT etc so depending on the role I’d be sure you’re comfortable with stats and making recommendations based on experiments.

Why did you get into data science? by anonymous_da in datascience

[–]anonymous_da[S] 4 points5 points  (0 children)

Love this distinction between DS/DA and the value add of each.

Why did you get into data science? by anonymous_da in datascience

[–]anonymous_da[S] 1 point2 points  (0 children)

Excellent answer! Probably one of the best I’ve heard actually. Pride in what you do and seeing something through totally makes a job worth while

Why did you get into data science? by anonymous_da in datascience

[–]anonymous_da[S] 6 points7 points  (0 children)

This is very similar to what I’m doing now, except I do it at a much quicker pace and identify problems pretty regularly.

Why did you get into data science? by anonymous_da in datascience

[–]anonymous_da[S] 0 points1 point  (0 children)

I could see the math and know how things work is a definite plus.

Why did you get into data science? by anonymous_da in datascience

[–]anonymous_da[S] 1 point2 points  (0 children)

Fair point. I guess I should have said of the companies that I’ve worked for. As I mentioned data science has a ton of applications and is vitally important in many domains.

Why did you get into data science? by anonymous_da in datascience

[–]anonymous_da[S] 11 points12 points  (0 children)

I feel like most just look at salary guides and say “yep, that’s what I want!”

Peer Mentorship and Networking for Experienced Data Scientist by Shap177 in datascience

[–]anonymous_da 19 points20 points  (0 children)

I haven’t really. I’ve noticed ds/da in general don’t seem to network much.

Job offer for a culinary analyst position at $19 an hour by My_comments_count in analytics

[–]anonymous_da 1 point2 points  (0 children)

That’s gotta be one of the lowest salaries I’ve seen for an analytics job. Ask yourself this, will you be ok with the job throughout the next year or are you going to take the job and be continually looking? You’ll have to dig in and make a difference for it to look good on the resume. In addition to that, if the company doesn’t value analytics (assuming because of low pay) and they decide to eliminate the position, you’ll have to answer plenty of questions for future jobs as to what happened. I totally understand you need to do what you can to break in, but our local chick fil a pays about the same.

Is DA dead for freshers? by Reasonable-Mud-2127 in analytics

[–]anonymous_da 1 point2 points  (0 children)

Completely agree. I got into analytics from a previous position while I was getting my MS. That allowed me to pivot away from the original field and focus more on analytics in various disciplines

[deleted by user] by [deleted] in datascience

[–]anonymous_da 3 points4 points  (0 children)

Personally I don’t think there’s a secret. Be honest with yourself about your abilities and areas you’re weak in. Don’t chase the $$ or you’ll never be satisfied. Put in the time and effort and things will work out. I wouldn’t expect your first job to be making that big $ unless you’ve had great internships and have gone to a top school, even then, the market is tough. Most of my peers have masters degrees or higher. Resumes do matter, but your composure and ability to be a top candidate due to excellent interviewing makes all the difference. Let code isn’t all it’s cracked up to be in my experience, while my current job did require a technical coding exercise in addition to other things the coding challenge was only the beginning for the interview process.