A+E Television Networks - New York, NY
posted 5 months ago
As an Analytics Engineer in our Data Team within the Research Department, you will play a pivotal role in building cutting-edge prototypes of data tools. Your responsibilities will encompass both the art of Exploratory Data Analysis (EDA) and the skill of leveraging data to generate actionable insights. In this dynamic position, you will collaborate closely with a team of innovative professionals to transform complex data into actionable insights, driving our mission to create groundbreaking solutions for diverse business needs. If you're passionate about harnessing the power of data to build prototypes that make an impact, this role is your opportunity to shine. In this role, you will proactively engage with various business users across the organization, even when faced with open-ended requirements. Your ability to work comfortably in such scenarios will be crucial in uncovering the true needs and challenges of the team. Through effective communication and problem-solving, you'll identify opportunities where data tools can enhance productivity and provide valuable insights. You will also demonstrate the ability to clearly communicate insights and the intricacies within the data to the wider research team. Your proficiency in data visualization and presentation skills will be essential in conveying complex findings in a comprehensible manner, fostering a deeper understanding of data-driven insights among team members. Utilizing your expertise in Python and SQL, you will build robust prototypes, diving deep into the data to explore it and identify edge cases that may impact the effectiveness of the tools. You will transform abstract ideas into tangible solutions, ensuring that the prototypes meet initial requirements and account for unforeseen challenges. Your keen eye for data nuances will be invaluable in this process. Additionally, you will collaborate with the IT department to bridge the transition from prototypes to production-ready solutions, ensuring that the developed tools are seamlessly integrated into the organization's infrastructure and processes.
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