More jobs:
Data Modeler
Job in
Madison, Dane County, Wisconsin, 53774, USA
Listed on 2026-01-12
Listing for:
Next Level Business Services, Inc.
Full Time, Part Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Position Title: Data Modeler
Location: Hartford/ Windsor, CT
Hire Type: Full Time Only
Responsibilities- Needs to know dimensional and/or operational/3NF/transactional modeling.
- Needs to be able to focus heavily on data dictionary and mapping document work.
- With XML schema designing skills (using ACORD framework) in addition to modeling.
- Must be very good at profiling sources and mapping them into the target model.
- Should have worked on any modeling tool like Erwin, Rational etc.
- Excellent communication to interact with the business customers.
- Property & Casualty Insurance domain experience is nice to have.
- Leverage any Industry Data Models (Framework) Eg IBM Insurance Model (IIW; IAA), Retail Data Warehouse.
- Must know the industry standard logical naming methods, Metadata management process.
Experience
Required:
7 years
Will be directly working with clients and offshore counter-parts.
Skills & Pre-screening Questions- Generic Managerial
Skills:
Need good verbal/written communication/analytical skills. - OLTP Design knowledge.
- ODS/3NF Relational Modeling.
- Leverage any Industry Data Models (Framework) Eg IIW, IBM Retail Data Warehouse.
- Rate your Oracle/Erwin skills.
- Data profiling knowledge (Any tools: Trillium; Oracle DQ tool).
- What kind of large projects you have been handling? Roles?
- Relevant Experience (number of years).
- Interaction/collaboration process with external (BA, Architect, Development) teams?
- Tell me about data modeling in ODS?
- Which subject areas you worked on ODS subject area.
- Availability for Interviews.
- Data analysis, normalized, 3NF.
- Transient database management, account management; part day on a daily basis.
- Irrespective nature of data, how do you handle data loads?
- How did you separate old records from new records to track the timing of the transaction?
- How would you identify the latest transaction in an ODS atomic/OLAP dimension?
- Time-variant / time-invariant surrogate keys? Link latest single instance of the customer with history data in ODS?
All your information will be kept confidential according to EEO guidelines.
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