Outside
Data Analyst
Job Description
About Orita
Direct-to-consumer brands pay us, in order to market less.
Well, technically, they pay us to market more effectively. And, strangely (!), that often means marketing a lot less.
How? We use a lot of math and a lot of machine learning to decide which people on their subscriber lists actually want to hear from them right now.
When you do this, two things happen. Brands save a ton of money. And their deliverability improves (hello inbox, goodbye spam filter!).
Fewer messages sent + higher chance they will be seen = ROI goes way up.
Sounds simple, right? Well, it’s not. You try getting marketers to be less market-y. It’s way easier to “play it safe” and email everyone all the time. Our math has to be that good.
But you said there would be math. Yes. We said there would be math.
And that’s where you come in. We need people with amazing neural networks in their heads to help our artificial ones do their thing. You’ll be an integral part of our data team. You’ll have a huge impact on our product, our culture, and building something great from the ground up. It will be a lot of fun.
You will be reporting to our CTO Zack (he has a Master’s in CS from Georgia Tech) and working closely with our CEO and Head of Product Daniel (he has a PhD in Neurobiology and has built data science teams for a decade). We look like a SaaS company. But we’re really building the data science and machine learning company to support the world’s best brands.
As a Data Analyst, you will:
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Leverage your deep understanding of statistics to conduct analyses that help our team make quick, more informed decisions and help our customers understand our impact
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Collaborate with our GTM team to standardize, report, and champion key metrics. Help us build out our case studies!
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Almost all of our machine learning products first started as analytics projects. You will lead the front-line in exploring where we can deliver the most value to our customers.
Your Ideal Background
Please apply even if you don’t meet every requirement
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2+ years of analytics experience at a software company
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Advanced SQL skills
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Hands on experience in A/B testing
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Proficient in Python (or R)
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Great communication skills – you might actually have to gasp talk to customers about your work!
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Experience in data visualization and using data insights to make recommendations and achieve goals
Bonus points for experience in the following:
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Marketing analytics (especially email, sms, or direct mail)
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Fancy pants degrees with lots of math
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The more coding experience the better. Especially with distributed data frameworks or debugging data pipelines. We have a lot of data!
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Orita is an Equal Opportunity Employer and does not discriminate on the basis of an individual’s sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.