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...
Job Title: Data Modeler Job Location: Cincinnati, OH About the position and responsibilities: Job Description: · The Desired Candidate should have 4 years of Data Modeling experience · Master (experienced) in using Erwin or any other Data Modeling tool is MANDATORY · Experience in PL/SQL would be a BIG PLUS · Responsible for the fundamental organization of a system embodied in its components, thei...
Job Title:Data Modeler Job Location: Cincinnati, OH About the position and responsibilities: Job Description: · The Desired Candidate should have 4+ years of Data Modeling experience · Strong experience with the translation of business specifications to technical design specifications. · Strong experience with in-depth data analysis, data management, data profiling, and determining data behaviors...
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...
Data Warehouse Architect Columbus, OH 1+ year The Senior Architect is responsible for designing, developing, and implementing application infrastructure to provide highly-complex, reliable, and scalable applications and systems to meet the organization’s objectives and requirements. Senior Architects are familiar with a variety of the application technologies, environments, concepts, methodologies...
Data Analyst/Architect – Job Description Location: Cincinnati, Ohio Evoke Technologies is an innovative Information technology firm based in Dayton, Ohio offering value driven software and staff augmentation services that help businesses save significant costs and amplify their business systems. We have been actively assisting our clients to constantly innovate and gain competitive advantage in th...
Job Title: Data Analyst Job Location: Cincinnati, OH The Data Analyst collects and studies data to reveal ways to improve a business, organization, or databases. This process includes inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and support decision making. Daily tasks include working with user groups to define syste...
At IBM, we understand that real business value is delivered when analytics is integrated with advanced research, business consulting, and technology. As an Analytics Consultant for IBM's Enterprise Marketing Performance Team you will be applying marketing science to IBMâs biggest marketing and sales challenges. You will work directly with senior marketing executives to help IBM develop first of...
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...
Job From Home Pays Up to $87/hr. Requirements: Must Have Computer.
$47/hour Part-Time Job Openings. Requirements: Must Have Computer.
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$31,200.00 - $187,200.00
Typical Salary for Data Modeler in Ohio
Source: Monster.com Careerbenchmarking Tool
Education / Training
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
Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards, guidelines, conventions, and procedures; planning data classes and sub-classes, indexes, directories, repositories, messages, sharing, hiding, replication, back-up, retention, and recovery.
Improves data model by evaluating results; implementing enhancements.
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