Data Analyst II- Bloomberg Law
The Bloomberg Law (BLAW) division of Global Data supports best-in-class tools, search and analytics for products in the areas of Law, Government and Tax. We extract knowledge from hundreds of millions of legal documents and build intelligent models to enable our customers to get the right answers quickly. As a valued member of the team, you will work hand in hand with both our business and engineering teams as you'll work to ensure data related to the legal content is in a condition conducive to user-facing enhancements. You'll also work to create processes that ensure that users get consistent, market-leading results when they use our BLAW products. What's in it for you:
What you'll need:
- Contribute to developing and maintaining the BLAW platform
- We will give you on-the-job training, learning and development-notably helping you enhance and formalize your programming skills
- You'll live and breathe Bloomberg's dynamic environment and contribute to creating new technology for the legal profession
- We'll invest in your career, and coupled with our unusual approach to career development, we will help you expand your skills and opportunities
If this sounds like you: Apply! We'll get in touch and let you know the next steps.
- Bachelor's degree or equivalent work experience. Preferably you'll have a minor or some coursework in Management Information Systems, Engineering, Computer Science, or equivalent technical work experience
- 1+ years of professional experience in data analysis and/or project management
- Strong organizational skills, written and verbal communication skills and analytical skills
- Experience using Excel or VBA for data analysis
- Familiarity with MS Excel and/or MS Access
- Proven ability with mark-up languages (XML, SGML and/or HTML) and XPath
- Legal authorization to work in the US without visa sponsorship now and in the future
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.