Visualization Engineer

• Full Time
• New York
• Posted 3 years ago
• Applications have closed

New York Mets Summary We are looking for the right candidate to join the Business Analytics & Insights team at the New York Mets. The team supports all aspects of business operations, including but not limited to ticketing, sponsorship, marketing, and accounting.

We’re a group of analytical thinkers who use SQL, Python, JavaScript, PHP, Tableau, and other tools to understand and improve business operations. There’s no expectation that the successful candidate has seen everything, but we do require our teammates to dive in, learn quickly, and ask questions.

Essential Duties & Responsibilities Use Tableau, Looker, and other data visualization solutions to design reports and dashboards for desktop & mobile consumption to assess company performance and drive revenue

Build informative interactive and static data visualizations, online applications, and information graphics

Analyze in-place processes and seek improvement and deprecations as necessary

Collaborate with business area partners and data scientists in a product manager-like role to understand the potential business value of data sets, the most relevant presentation of the data, and the interactions required to explore the meaning behind the data

Use analytics tools and processes to analyze data, build models, and make business recommendations that will lead to increased revenue generation and cost savings

Work with data analysts, engineers & business teams to tackle technical challenges associated with building fast and interactive visualizations on datasets

A cool head when confronted with new responsibilities, technologies, and deadlines

Qualifications 2+ years of experience in UX design or data visualization engineering is required (preference given to Tableau)

Proficiency in SQL is required

AngularJS, D3.js, HTML/CSS, JavaScript, Python Development Experience Is Preferred Exposure to a Customer Relationship Management (CRM) system is preferred

Background in a quantitative field (Bachelor’s Degree in Mathematics, Statistics, Engineering, Economics, Computer Science, Business Analytics) or equivalent experience

Experience with cloud-based solutions (Google Cloud Platform, Amazon Web Services, etc.) and developer tools and workflows (Git, GitHub, code reviews, etc.)

Ability to express complex technical concepts effectively, both verbally and in writing, to audiences at senior leadership levels

Must be team-oriented, outgoing, extremely motivated, and able to work independently