Data Analyst, Associate
Confirmed live in the last 24 hours
Bloomberg
Job Description
What you will do:
- Analyze and synthesize data requirements for backend data infrastructure.
- Support Product and Engineering across all data transformation initiatives.
- Partner with Global Data to develop advanced content collection/publication processes.
- Consult and advise on data driven features and tools.
- Create processes that ensure users get consistent, accurate results from the data they rely on.
You need to have:
- Bachelor's degree preferred. Coursework in Information Systems, Engineering, Computer Science, or equivalent technical work experience.
- 0-2 years of professional experience in data analysis
- Demonstrated experience leveraging strong organizational, written, and verbal communication skills to drive process improvements in capturing, storing, enriching, and using data.
- Experience using Excel or VBA for data analysis
- Proven ability with mark-up languages (XML, SGML and/or HTML) and XPath
Equal Opportunity
Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).
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