The Washington Post Data Team is seeking a collaborative-minded reporter who can use data and quantitative analysis to cover a wide range of topics related to the economy, business and technology while injecting our coverage with a healthy dose of unique and unusual ideas. By acquiring data, conducting statistical analysis, creating visualizations, and pursuing traditional lines of reporting, this reporter will be expected to break news and offer exclusive insights that will help lead The Post’s business coverage, particularly coverage of the economy. First and foremost, we are seeking someone who can identify great stories powered by data, and who can partner with journalists across The Post’s newsroom to best tell them. The role will include working with the Business desk’s investigative team to probe how money and technology shape our world and influence our government. It also will include collaborating on deadline pieces with a shorter turnaround, as well as some explanatory and enterprise work done by the reporter or with other members of the Business team. Candidates should be curious lifelong learners who are happy to help a teammate and who thrive by sharing knowledge and working together. Key skills for the job are critical thinking, a deep skepticism and a healthy dose of good cheer. Candidates also should have several years of experience in data journalism, be adept with an analysis language such as R or Python, and have familiarity with SQL, the command line and version control. Familiarity with benchmark business datasets and the ability to identify trends and newsworthy moments in them is also a major plus.