Business Analyst

Job description

DESCRIPTION

What you're about to read is a very non-traditional job description. That's because this opening is for a very non-traditional team. This is the type of team people look back on and wish they could go back to after pursuing another position. The type of team that helps you get up out of bed in the morning because what they're working on is just stinkin' cool! With that note, if you're still interested, please keep reading. :)
We are looking for a stellar team member to join our FANTASTIC team of Business Analysts. Seriously... if you aren't going to be a stellar team member, you won't fit in with our group. The kind of person who we're looking for will be detail-oriented, enthusiastic, and determined. You might even be the type of person who reads data warehousing or analytics books in your free time, because you actually want to.

As a member of our team, you'll use Scrum to manage your day-to-day workload and will talk with team members around the world on a daily basis. You'll build (sustainable, scalable and automated) reports that help the organization act on information rather than just data. There's a 100% chance that you will work closely with operations leaders, product managers, SDEs, TPMs, data engineers, and senior management to define new metrics and project requirements which you will then take and create something awesome. You should be able to deal with ambiguity... sometimes, we don't have all the data, but we do need to act (as data people we, of course, would rather have all the data first, but life isn't always so kind to us data folks...).

In addition to these core responsibilities, you will also manage and execute analytical projects from start to finish including data gathering, manipulation, modeling, problem solving, and communication of insights and recommendations to senior management.
A successful candidate will be highly analytical. "What does that even mean...?" Well...

Analytical individuals want to gather a lot of facts, and they’re able to keep them organized when working on tasks and challenges. These thinkers bring a number of benefits to the team:
· They have the ability to look at things in a holistic way.
· They base choices on realism and sound processes, with an underpinning of precision, accuracy, and detail. Their decisions have a great deal of validity.
· They are “walking dictionaries”! If you have a question, they likely know the answer – or know where to find the answer.
· They are strongly oriented towards policy and procedure.
· From a leadership perspective, they are highly organized and extremely knowledgeable about their work.
You really need to be experienced with SQL (and Python. That would be cool). You just do...
If all (or the vast majority) of these things apply to you, please keep reading!!
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

PREFERRED QUALIFICATIONS

Normally, many of the items on this list are required qualifications. However, you might remember that you're not reading a normal job description, are you...
· Proficiency in a statistical tool such as R, Stata, SAS, SPSS, and/or Minitab
· A degree (Bachelors, Masters, ect) in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, or a closely related field.
· Knowledge of AWS Infrastructure including S3, Redshift and RDS
· Experience with predictive modeling/machine learning.
· Python. :)

Desired profile

BASIC QUALIFICATIONS

You can look at this list as the bare minimum. If you don't meet all of them, you just won't be a good fit on our team.
· You must be a good team player.
· Atleast 5 year of work experience of which 3+ years of dedicated experience in data analysis, business intelligence, or business analytics. This means you've got some pretty top-notch analytical and quantitative skills and have proven your ability to use hard data and metrics to back up assumptions and develop business cases
· Familiarity with SQL and Python. We're not worried about the dialects you know, just that you can write a query fluidly, cleanly, and quickly.
· Strong communication (verbal and written) and interpersonal skills to translate key insights from complex analyses into actionable business insights. You have to be able to speak data with people who don't speak data.
· In every respect, your personality reflect that of an amazing team member.
· You are the type of person who would feel bad about letting down your team.
· You should love playing with data.
· Lastly, and most importantly, you must be the type of person who works well on a team. (maybe you've seen a pattern here...)