Analyst, Data Analytics

PayPal • New York City, NY

67d • $62,000 - $102,300 • Hybrid

About The Position

This job will analyze data to design and build BI dashboards (in React.Js and Looker) in short timeframes via rapid prototyping and agile development to provide insights that support business decisions. And your role would involve hands on development, and maintenance of all aspects of BI solutions - ETL, Data Quality, Visualisation, Documentation, and Production movement.

Requirements

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
• 4~6 years of experience with full-stack development supporting both frontend/backend development.
• 3+ years of hands-on experience in React.js development.
• 3+ years of hands-on experience in Looker or similar BI tool-based development.
• Proficient with SQL.

Nice To Haves

• Proficient with React.Js and other front-end frameworks (e.g. Angular, Vue).
• Proficient with Functional and Object-Oriented JavaScript/ES6+ coding.
• Proficient with Node.JS and Express application design and development.
• Proficient with HTML5 and CSS3.
• Experience with RESTful web services.
• Experience with BI tools such as Looker is an added advantage.
• Proficient with Webpack and other build and packaging systems.
• Proficient in writing automated unit and functional tests.
• Proficient with Git source control and effective branching and release management practices.
• Proficient in creating web user interfaces and resolving cross-browser and backward compatibility issues.
• Ability to debug, diagnose and resolve complex JavaScript bugs throughout the stack.
• Exceptional communication and collaboration skills to engage with multiple stakeholders and different teams to deliver BI solutions efficiently.
• Strong critical thinking skills; ability to devise innovative solutions.

Responsibilities

• Analyze data to provide insights.
• Collaborate with stakeholders to understand their data needs.
• Deliver recommendations based on data analysis.
• Ensure data accuracy and integrity in all analysis processes.
• Present findings to stakeholders.
• Drive continuous improvement in data analysis practices.

Benefits

• Flexible work environment.
• Employee shares options.
• Health and life insurance.
• Annual performance bonus (or other incentive compensation, as applicable).
• Equity.
• Medical, dental, vision, and other benefits.

What This Job Offers

• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees