Senior BI QA & Test

New York
US$100000 - US$110000 per year + Additional Benefits

Senior BI QA & Test

New York, New York

$100,000-$110,000 base salary + benefits

COMPANY

This global leader in the insurance industry is looking to add on a Senior BI QA & Tester to their NYC location as a direct result of the immense success the team is seeing and looking to direct. This data and technology-centric organization models offers an opportunity to have a core impact on the business as a whole, as all their units across departments include a tech hub!

Are you looking to join a team with proven track record of success where you will be able to direct efforts in increasing profit generation in an operative stance central to your organization? If so, keep reading!

(Unfortunately, this client will not be able to provide sponsorship or transfer now or in the future.)

ROLE

As the Senior BI QA & Tester, you will sit on a team of 12 technical professionals, leading the charge on enhancing and updating unit relevant reports and dashboards, maintaining the current format with additional features and add ons as seen fit! You will primarily be utilizing the following:

  • Tableau for data visualization to create interactive dashboards
  • SQL to query data information from table sets
  • Hadoop for batch processing through large volumes of data
  • Standard best practices in an agile environment

YOUR SKILLS AND EXPERIENCE

In order to be considered for the Senior BI QA & Tester, you will bring the following to the table:

  • BS degree in a STEM field specifically (Computer Science, Engineering, similar) is required, a technical Master's is preferred
  • 2-3 years of professional experience in BI using a data visualization tool (can be Tableau, Qlikview, PowerBI, etc.)
  • An enthusiastic attitude to work on a team central to the business!
  • Prior professional experience interacting with key business stakeholders to gather and review reports/dashboards

BENEFITS

  • $100,000-$110,000 annual base salary dependent upon experience
  • Medical, Dental, Vision, and Life Insurance comprehensive packages
  • 401K with match
  • Tuition reimbursement
  • WFH flexibility
  • 3 weeks of vacation
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65252/KK1
New York
US$100000 - US$110000 per year + Additional Benefits
  1. Permanent
  2. Big Data

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MACHINE LEARNING ENTERS BIOINFORMATICS AND ITS FUTURE IS BRIGHT

Machine Learning Enters Bioinformatics and its Future is Bright

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Data Scientists Move the Needle to Scale Business

Today’s companies know how important it is to add Machine Learning and AI into their business, but without a plan, things can easily go sideways. Hiring Data Scientists for your business involves more than just hoping for the next Facebook or Google success. It’s about moving the needle on your own business. So, how do you do that?  Well, first you’ll want to think about what is you want from your business and from there, build a team to help get you there. We know that sometimes these two things pose challenges as well. So, where should you should begin? Ensure you have the right leadership structures in place In their role as Stakeholder, it’s important for top executives to have a clear understanding of where their business is and solid framework for where they want it to go. In other words, it’s important to ask yourself, is your business ready for that sort of growth and transition? Before you say, yes, and start looking for that unicorn employee, there’s a few things you need to know. Data Scientists aren’t magicians. They cannot wave a magic wand and make you ten times profitable overnight. Efficiency will come, but it will take time. In reality, if you don’t have the right Data sets, the right people in place, or the right backing and investment, then it will be a hard road to success and can lead to failed initiatives. So, how do you avoid that and get yourself set back on the right path? Here are a few key steps to consider: Don’t Put the Cart Before the Horse Understand your focus and the why of your business. Align your teams with a clear view of where you are and where you’d like to go in your business. Set clear expectations for yourself and your team.Decide What Your Team Should Look Like Ask yourself, “How much talent do I need?” Well, that depends on how much Data you’ll be working with and where you want those initiatives directed. For example, if you’re building a team just to focus on work recommendation systems, then you’ll need a far smaller team than if you were overhauling an entire platform or product line. Stop Chasing Shiny Objects Be realistic in your expectations as you build your team. So many businesses, when they think of Data Scientist, focus on the word scientist. And their first thought is they’d like to get someone with a PhD from Stanford who’s worked ten years at Google. A couple of things come to mind here, when I hear this and the first is this: When businesses first reach out, they talk to me about how they want someone from Google or Facebook or Netflix, but the reality is 9 times out of 10, you’re not going to be able to access that kind of talent.Be realistic about what sort of talent you can gain access to and ask yourself, if you could get someone from Google, Facebook, or Netflix, why would they leave that job to come work for you? What can you offer that those businesses cannot? It's important to understand the goal here is not to chase the shiny stereotypes, but to have clarity and desire to set up for success those that you do hire. For some businesses, the initial reaction is to just throw Data Scientists at a problem and believe they can fix things or move you forward faster. But like everything you need to put steps in place to get you from where you are now to where you want to be.  Learn, Grow, Pivot For most people who don’t come from a Data Scientist background, there are two schools of thought. Data Scientists are bright shiny objects who will fix all of their business problems overnight orA waste of time. To build a successful team, begin by educating those in the dark about what Data professionals are capable of and ensure everyone is aware of what is realistic. It’s important to understand that it may take six months to a year for a business to see any real outcomes. This doesn’t mean things aren’t working. 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A constant state of flux is scary, but it can also mean your business is scaling faster, and your team of Data professionals are doing their job to move the needle. Give your team the freedom to learn, give the freedom to work on projects outside of their natural scope to be able to bring value to your business, although even within that year 18-month framework you might not see proof straight away. You need to be ok with the fact that you going to lose people. That typically means you’re doing something good.  If you’ve got a Data Scientist who is happy to just stay at your company and work on the same projects for six, seven, eight years, that’s probably a red flag; how will they keep improving? “What Got Us Here, Won’t Get Us There” The needs of your group are going to change and shift and so the people you need are going to change and shift. Again, it’s about being adaptable and being able to ride those waves and change as and when we need to. 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