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Fannie Mae Work Values

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Daily Duties at Fannie Mae:

Facilitate requirements gathering sessions and ensured data models conformed to corporate data standards; ensured business requirements were accurately captured in the data model. Performed logical data modeling using ER/Studio to reverse engineer against multiple databases. Developed and maintained business requirements. Worked closely with Database Administrators to plan and ensure that implemented physical database models, were derived accurately from the data models. Perform functional mapping of data from source system feeds. Maintain logical models and documentation for interface translations within ER/Studio


What they like about Fannie Mae:

The social vibrance of a hiring firm is very important to you. Your ability to make and maintain friendships there is a critical part of your decision. You would likely be dissatisfied with a workplace that is quiet, cold, or otherwise not particularly social. When you investigate a new hiring company, ask recruiters, managers, and potential co-workers about the social life and opportunities there. This is especially important when you are relocating; moving dramatically alters your social sphere both inside and outside the workplace.



Information about Fannie Mae


Company Rank: 4.0 out of 5

Average length of employment : 2 years

Average salary of employees: $0

These are some of the questions we asked our climbers about their experiences with Fannie Mae:

05|
Were your performance expectations clearly communicated?

4.0

Were you recognized for meeting or exceeding expectations?

5.0

Did you feel like your personal contribution was important?

5.0

Was your career path clearly outlined and discussed?

2.0


03|
I would recommend this as a place of employment.
3.0
I believe in the purpose of this organization.
3.0
I would work for this organization again.
3.0
I feel employees are fairly compensated.
3.0


Climbers who worked at Fannie Mae had these interests:

Books
Data Modeling Books on Data modeling patterns
William H. Inmom/ODS Creating and building ODS.
Data Warehousing Tool Kit Definitive book on data warehousing
David Loshin/ Master Data Management Books and methodology for Master Data Management and how to apply it's concepts, based on real world.
William H. Inmon/Tapping Into Unstructured Data This book outlines and show the methodology for integrating unstructured data and textual analytics.
Ron Ross/ Business Rules This book written by the authority on Business Rules, helps define how to think and go about capturing an organizations Business Rules.


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