Professional Summary. Financial Industry, Insurance and Retail industry. Designed LDM and PDM for the Enterprise Reference Data.Interacted with the Business Users to analyze the business process and gather the requirements, making necessary changes to schema objects to fulfill their reporting and business needs.Applied Oracle 10g theory of database modeling using Oracle designer.Coordinated for the Logical review team to processed all database structure changes. This IT resume sample for a Senior Database Modeler portrays a database certified expert in Oracle systems and a solid consulting record of several years.Technologies in use are Oracle, DB2, Microsoft SQL Server, along with numerous tools. Experienced in designing the Conceptual, Logical and Physical data modeling using ERwin and ER Studio Data modeling tools. A large chunk of data modeling has to do with translating, balancing of many user requirements and reporting the final results from the users’ perspectives.Tools are needed when it comes to data modeling. Confidential June 2008- July 2010 Pleasanton, CA Role: Sr. Data Modeler Description: The objective of this project is to develop a data warehouse to fulfill reporting needs and develop new marketing strategies. It is important to know the trend in organizations to improve your skills and proficiency.A foundation in structured query language is important. These are some examples of job descriptions we have handpicked from real Data Modeler resumes for your reference. They help reduce data loss and increase data movement across systems. Strong knowledge of various data warehousing methodologies and data modeling concepts. Most informative science or computer studies. Data Modeler Resume Examples. The main subject areas of FID are Investigation and Case, Payment Suspension, Request for Information, Data Analysis Project, and CMS Projects.Developed Cross Channels Data Models for Integrated Data Warehouse.Subject Matter Expert in scripting CA ERWIN CASE tool.Tasked to design and implement a data mart to cater to all Securities Accounting reporting business needs. How to Become a Successful Data Modeler? In this article, you can explore data modeling interview questions and example answers. The Best Data Modeler Resume Samples. • Liaise with other technical areas, conduct technology research, evaluate software and produce research papers Data Modelers create data structures and adapt them for computer binary processes. Data modeling interview questions help employers select the right person for roles that include extensive data modeling, as a data scientist, for example. Disseminated information to the users on naming standards, data governance, normalization rules within CBP.Experience with custom and industry data models. Objective : Over 8 years of professional experience in data modeling and data analysis as a Proficient in gathering business requirements and handling requirements management. Candidates with courses in information system management or business management stand higher chances of employment.A Data Modeler must have good communication skills. Make sure to make education a priority on your data modeler resume. Data modelers and Data Architects help design computer systems that simplify data. Data Modeler Resume. This IT resume sample for a Senior Database Modeler portrays a database certified expert in Oracle systems and a solid consulting record of several years. Employers looking for data modelers look for candidates with a bachelor’s degree. If you’re looking to capitalize on business trends that prioritize big data there’s never been a better time to examine data modeling. They also confirm business data for errors. Working on Projects like PQS, Gtrack, GVMSCreated data marts for Healthcare Physician application and billing system.Design/DBA/Development/Production support for Oracle 8i Databases, Oracle Financials ERP Application and monitor interface programs to move data from Back office to financial applications.
IBM IFW: Financial Services Data Model, Banking Data Warehouse (BDW).Designed and developed digital cockpits (an evolutionary concept) for [company name].Responsible for collaborating with project teams and business partners to collect and analyze data requirements and produce logical and physical data models in the Erwin data modeling tool.Facilitate meetings with client for requirements gathering, clarifications and documentation.Worked with Business Analysts in gathering reporting requirements representing Data Design team.Lead a major effort to model inter-database interfaces using metadata; document extract-transform-load (ETL) stored procedures; organize and coordinate tasks of DBAs, developers, and other analysts.