Yana Goldman is a Los Angeles-based professional specializing in data extraction and business rule development. Her expertise lies in transforming complex business requirements into logical, actionable procedures, primarily utilizing Microsoft SQL Server (MS-SQL) and the InRule platform.
Professional Background
Yana’s career encompasses roles in data analysis and business rule implementation. She focuses on developing data extraction procedures in MS-SQL, enabling efficient data retrieval and processing to support organizational decision-making. Her proficiency extends to analyzing and transforming business requirements into logical rules, ensuring that technical solutions align seamlessly with business objectives. Yana also implements business and operational rules and policies using the InRule platform, a decision management system that allows for the creation and management of complex business rules without extensive coding.
Her role involves significant cross-departmental collaboration, interfacing primarily with Operations and Research & Development (R&D) teams. This collaboration ensures that the solutions she develops are comprehensive and cater to the diverse needs of various stakeholders within the organization.
Educational Contributions and Thought Leadership
Beyond her technical responsibilities, Yana actively contributes to the broader business and data analysis community through her writings. She maintains a presence on platforms like Medium and Hashnode, where she shares insights on topics such as the importance of business analysts, strategies to maintain competitive advantage, and the significance of regularly reviewing business rules.
Professional Affiliations
Yana has been associated with the financial services industry, with past registrations as a broker. Her employment history includes roles at Mutual of Omaha Investor Services, Inc. in Los Angeles from July 2010 to May 2011, and at MetLife Securities Inc. in Glendale from January 2008 to January 2010.
Community Engagement
In summary, Yana Goldman’s blend of technical expertise, collaborative approach, and commitment to knowledge sharing positions her as a valuable asset in the fields of data extraction and business rule development. Her contributions not only enhance the operational efficiency of the organizations she works with but also enrich the professional community through her thought leadership.
