At Bloomberg, our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Global Data, we’re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
Our Process Engineering team looks to identify and execute opportunities for increased efficiency across our data sets and analyst teams. We support our Analysts by promoting transparency into daily workflows. We support our business by upholding a standardized method of storing data in our enterprise reporting platform. As a team, our goal is to provide this information accurately, comprehensively, and as frequently as possible for each dimension of Global Data’s operations - productivity, timeliness, quality, and coverage. Together, we closely partner with other teams in Global Data to conduct process analysis and re-engineering when necessary, as well as establish and promote best practices across the organization.
Equipped with this data and the capabilities of the business unit’s enterprise reporting platform, you will seek to increase productivity by applying technology or leveraging alternative resource models. You will decrease time-to-market by highlighting latency, improve quality by finding patterns and trends when issues arise with precision and recall, and conduct ad hoc analysis requested by management across the firm.
As a valued member of our team, we’ll trust you to:
You’ll need to have:
Successful applicants will likely possess:
Does this sound like you?
Apply! We’ll get in touch and let you know the next steps.
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.
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