Do you have a passion for analytics and want to apply your programming skills to help uncover insights within the data? Are you motivated by using your developer skills to manage and evolve measurement platforms and dashboards? Do you want to be challenged by your job and be surrounded by passionate, dedicated, and creative people in a mission-driven environment? Then this role is for you. You will help to develop key backend infrastructure, data pipelines and services that NPR will use to improve data driven decision making through the use of advanced analytics for podcasts, web, mobile and social media. You have a unique blend of thoughtful data-driven curiosity and pragmatism. You’re happiest when your hands are in the code. And you love the idea of using data to make NPR (and the world) a better place.

RESPONSIBILITIES

• Architect, build and manage database infrastructure related to podcast measurement and reporting (using APIs, log files, BigQuery and Python) in order to serve programming, digital, and revenue teams at NPR.
• Maintain existing toolsets in addition to developing new ways of ingesting, cleaning, optimizing and efficiently storing audience focused data in BigQuery.
• Develop backend infrastructure to enable the creation of various website, application, newsletter and social media dashboards to serve stakeholders across NPR. Build new dashboards to serve future needs as required.
• Improve front-end display of analytics data using CSS and R Markdown to develop illuminating data visualizations
• Design, develop and implement process improvements such as manual task automation, optimizing current data delivery methods and improving overall system stability, performance and scalability.
• Master the data flowing through NPR’s digital platforms and find opportunities for analyses that inform key decisions in content, revenue, and digital product development.
• Act as a resource and mentor for various technical and non-technical teams, including but not limited to the current analytics team.
• Communicate effectively in small groups, during formal presentations, and at business unit events with engaging storytelling. Develop written communications to address varied styles and information needs.
• Build strong working relationships at all levels with internal stakeholders and build problem-solving partnerships with clients and colleagues.
• Other duties as assigned

WORK LOCATION: This is a remote permitted role. This role is based out of our Washington, DC office but the employee may choose to work on a remote basis from a location that NPR approves. 

QUALIFICATIONS

REQUIRED SKILLS

• 4+ years of experience in business intelligence and digital/web analytics, including dashboard creation, ideally in media.
• 4+ years development experience building and maintaining ETL pipelines.
• 4+ years of experience working with database technologies particularly experience with Google BigQuery.
• 4+ years of experience working with data development technologies such as Python, Java, PLSQL, etc. 
• Proven experience with Google Analytics or Adobe Analytics as well as analytics APIs.
• Proficiency in HTML and CSS.
• Extensive knowledge of SQL or other database query languages.
• Experience working with both raw log file datasets and APIs.
• Ability to decompose a problem and work through a technical approach and attack a problem in a systematic way.
• Strong analysis and data interpretation skills with a keen sense for data gaps and inconsistencies.
• Demonstrated experience in developing data visualization independently or with tools.
• Excellent oral, written and visual communication skills, particularly at explaining complex quantitative information to non-technical audiences.
• Ability to work independently with little supervision as well as in a collaborative team environment.
• Ability to thrive in a fast-paced work environment with numerous stakeholder groups.
• Strong documentation skills.  

PREFERRED SKILLS

• Experience with Business Intelligence tools such as Mode or Looker.
• Experience with software development using the programming language R.
• Experience working in an Agile software development environment.
• Experience working with microservice architectures.
• Experience with CI/CD systems such as Jenkins or Codefresh.

Does this sound like you? If so, we want to hear from you. All applications must include a resume to be considered.