In Bloomberg's Global Data division, our technology drives our business. The tools we create and the software we design will allow us to meet the evolving data needs of our clients and enable us to drive our products.

We are looking for talented individuals that possess a unique combination of business acumen, technical skills, domain knowledge as well as strong entrepreneurial and interpersonal skills in order to provide technical business analysis and implementation across our global data teams. The role entails collaborating with data teams, core business managers and engineering for technology implementation to drive automation, data quality and time to market.

Through process analysis they will discover opportunities, define requirements, leverage cutting edge project management techniques, and lead the development and implementation of our strategic technology components.

What's in it for you:

• Perform data mining and process analysis to identify opportunities for automation, product creation, quality improvements or reducing time to market
• You’ll work to design, plan, and develop programs to optimally extract, transform and load data between data sources.
• Work with the Data Architects, DBAs and Business Intelligence team to design, implement, and support end-to-end data solutions across multiple platforms, environments, domains, and locations
• Development of data standards, policies and procedures, as well as the establishment and maintenance of standards for data quality.
• With your team, you’ll ensure that data is clean, consistent, and synchronized across platforms as you oversee the design and implementation of data cleansing procedures.
• You’ll work across various business units to identify opportunities for process improvements.
• Work closely with stakeholders and their teams to understand their technology needs and translate them into requirements for developers.
• You’ll work to develop data quality metrics for identifying data related issues.
• Design prototypes to illustrate and refine requirements
• Effectively communicate research findings, project progress and success to stakeholders in compelling, creative, and accessible ways

You'll need to have:

• Undergraduate degree in business or technology, minor in Computer Science or Information Systems preferred
• 3-5 years of proven professional experience in data engineering or data analysis
• Demonstrated project/work experience using one or more programming language (e.g. Python, JavaScript, SQL, HTML, JSON etc.)
• Experience working with high volume data exchange and transaction processing systems, preferably in a customized software development environment
• Proficient in converting flat file, XML, and fixed length formats.
• Working knowledge of process engineering, data mining, data modeling, software design, data visualization and ETL preferred
• Ability to build partnerships across an organization and interface and facilitate interactions with engineering and business counterparts