Data Modeler Jobs in Ohio
Farmers Insurance Group is currently seeking a Statistician Analyst / Data Modeler (PL PM Analyst) to join the R&D team. Through challenging and rewarding projects, the analyst will play a crucial role in identifying, analyzing, and solving business issues impacting the Farmers book of business. • Designs, develops and modifies computer programs to extract, analyze and evaluate policy and quote da...
The Healthcare Data Modeler Clinical is responsible for successful delivery of maintenance, optimization, and expansion Data Warehouse (DW) Projects. This individual will operate on a development team, have exposure to the entire development lifecycle, and be asked to perform tasks that will cross the functional and technical aspects of the project. Key tasks will include: (1) architecting new dat...
Step Up, Stand Out: Advance By joining Ciber, you can turn your innovative ideas into world class solutions for some of the world's most dynamic companies. With global reach and deep technical experience, Ciber is big enough to keep you working with household names, but small enough for you to stand out and advance. Choose a career at Ciber and enjoy an environment where being challenged and rewar...
Risk Modeler II- Columbus, OH . Design, dvlp & maintain loan-level stat credit risk models to support Chase mortgage & home equity portfolios, incl loss forecasting models to estimate default & prepayment risk, & credit scorecards used in acct acquisitions & mgmt. Ph.D. or equiv in Stats, Ops Research, Econ, Econometrics, or rel. quantitative field (employer will accept completion of all req'ts to...
Mortgage Risk Modeler needed to design, develop and maintain loan level statistical credit risk models. The statistical models include loss forecasting models to estimate default and prepayment risk and credit losses. Additional responsibilities include providing support for model implementation, performance monitoring and calibration; conduct analytical projects to support modeling efforts and bu...
Chase is a leader in the financial services industry, providing banking, mortgages, credit cards, loans, payment processing and investment services to 50 million customers - 1 out of every 6 Americans. As a division of JPMorgan Chase & Co. (NYSE:JPM), we: • serve 21 million households with consumer banking relationships • lent $17 billion to small businesses in 2011 • are one of the nation's large...
This role is responsible for successful delivery of Business Analytics & Optimization (BAO) Advanced Analytics solutions and services in a client consulting environment, and is an experienced consultant in the areas of statistics software including SPSS and SAS. Typical tasks include defining the key business problems to be solved, formulating mathematical approaches to solve those problems, gathe...
The Unstructured Data / Text Analytics Consultant participates in pre-sales and delivery of cutting-edge semantic solutions, using Natural Language Processing (NLP), Ontology modeling and Triple Stores for data storage. Experience with fundamental JEE concepts and design patterns are required. This Consultant will work face to face with clients to lead prototyping, design, technical sales support...
The Advanced Analytics Consultant is responsible for successful delivery of Advanced Analytics solutions and services in a client consulting environment. This role is an experienced consultant in the areas of statistics software including SPSS and SAS. Typical tasks include defining the key business problems to be solved, formulating mathematical approaches to solve those problems, gathering of da...
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$31,200.00 - $187,200.00
Typical Salary for Data Modeler in Ohio
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Source: Monster.com Careerbenchmarking Tool
Supports data warehouse performance by designing, developing, and validating data models.
Rate of Growth
Size of Industry in 2006:
Source: Bureau of Labor Statistics, May 2006
Determines data availability by interviewing users; defining, analyzing, and validating data objects; identifying the relationship among data objects.
Implements data models by designing procedures for moving data from operational tables to data warehouse, for replicating data between databases, and for updating operational tables; developing and maintaining data dictionaries and repositories; integrating logical data models with enterprise data models; converting logical data models to physical data models; documenting model schema and system management.
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