| Job Title | Data Analyst – Content Indexing |
| Company | Bloomberg |
| Location | Princeton, NJ |
| Full-time/Part-time | Full-Time |
| Salary | Not disclosed |
| Posting Website | https://careers.bloomberg.com/job/detail/96623 |
| Required Experience | • Bachelor’s degree in disciplines such as Library Science, Linguistics, Mathematics, Statistics, Data Science, Computer Science, Business, Finance, or other computer-related specialization • Strong interest/ knowledge in financial and economic news • Excellent problem solving skills and ability to pay close attention to detail • Strong written and verbal communication skills • Proven understanding of customer service and experience in building strong relationships with stakeholders • 1 – 3 years of professional project management experience in information management with the ability to deliver on tight deadlines • Working knowledge of a programming or query language and experience of using it for a data analysis/data science project (e.g. R, Python, JavaScript, SQL, etc.) |
| Sample Job Responsibilities | • Use specialized software in order to create hierarchical rules that automatically classify Bloomberg and third-party news, as well as data from social media sites. You need to have a keen interest in news and perform research in order to identify news topics and modify or create news classification rules accordingly. • Identify accurate and reliable news sources and act as subject matter expert for the news product. • Identify opportunities to create efficiency in our processes and execute on your ideas. • Collaborate with our partners in Product Strategy, Sales, Analytics and Engineering to understand our clients’ needs and build a market-leading news product. In addition, you will also partner with our Sales and Analytics groups to promote our news product and ensure strong customer uptake. • Develop cutting-edge processes focused on natural language processing, data science, machine learning, and text analysis as we build the next generation of Bloomberg’s proprietary news classification products. |
| Deadline |