Izabela Bujała

The responsibilities include (but are not limited to):
• Acts as a liaison between various local technology teams, support teams, and business units to analyze, document, review, and secure agreement on business requirements for specific Exchange and Contributed data feeds.
• Acquires and analyzes technical data feed specifications, and authors a variety of requirements documents which detail how a particular data feed will be processed by Thomson Reuters systems. Requirements documentation will be a sufficient level of detail so as to ensure clarity for both Technologists and the Business.
• Participating in project planning sessions with team members to analyze development requirements based on business unit or client requests.
• Development and execution of test plans.
• Prepare status updates for projects and consolidation of periodical reports
• Establishing and maintaining relationships with market data sources ensuring that product related changes are communicated and understood within the organization.
• Provide Service Support and Maintenance of existing Exchange and Contributed data feeds.

Supporting team with most difficult client queries and supervising in most important or complex projects, Ensuring that data enhancement work is being escalated and put forward for prioritization. Promoting continuous improvement through research and analysis of queries. Monitoring team performance in order to anticipate potential challenges. Work with other SMAs to improve ETI and facilitate communication between the teams.

Process data and apply in an accurate manner to the database using technical and financial knowledge to add value (this includes exchange and contributed data). Liaise with local exchange to ensure that data is maintained at a high standard. Act as a secondary source of knowledge on own data, communicating with other departments and external departments in the resolution of queries on exchange data and historical data as needed. Create and document methods of working for new level of data maintenance. Train new staff member. Seek efficiencies in work practices to achieve automation where possible. Test new database/application releases providing expert user feedback. Take responsibility for data quality, accuracy, timeliness and completeness. Work effectively within teams or by yourself, proactively identifying and resolving problems. Alert internal and external clients when data issues are identified.

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