LearnHiring.com

Search This Website:

Custom Search
Important Training Testimonials Recruiter Training H1B Preparation Training USA HR & Acct. Mgmt. Training Job Seeker Social Media Job Boards Recruitment Forms Charts Acronyms/Abbreviations

Recruiter Training 100% Placement! - Job guaranteed! - USA Recruitment Training starts on 23rd October 2017. Please send an email to Trainer@LearnHiring.com to know more about the Training Program!...

  • Home
  • Home Based Recruitment
  • Recruiter
  • Software
  • Job Description
  • HR
  • Contracts
  • Immigration
  • Finance
  • Operations
  • System Admin
  • Sales



You are here: Home Job Description Analysis: Job Description Analysis Example - Data Modeling



Job Description Analysis Example - Data Modeling:

Following section explains how a Recruiter can analyze a given "Job Description" and get the required information from the candidate to submit the candidate's resume to Accounts manager.


Typical Job Description:


Our client is looking for a Data Modeler who can also assist with data analysis for a new project that will consolidate their ordering and resulting systems. This person will be responsible for the data modeling using Erwin. This person should have experience creating the logical structures and then they will pass this information along to a DBA who will develop the physical structures. This person will also be responsible for data analysis and data mapping. This person will profiles data from different sources and determine whether and how data can support business and data requirements of its intended use. Knowledge of ETL process and tooling. The candidate will deliver standardized data element definitions and descriptions with a goal of enterprise MDM definition and data integration and will maintain the enterprise data model based on individual subject area models. Knowledge of modeling conventions for both data (data models) and process (data flow diagrams and process models) and is required. Detailed knowledge of Master Data Management is needed. This person will participate in data strategy which transforms data assets into enterprise data warehouse, enabling the business and analytics resources to turn data into information intelligence.

Step-by-step Analysis of above Job Description:

"Our client is looking for a Data Modeler who can also assist with data analysis for a new project that will consolidate their ordering and resulting systems."

Analysis: Client is looking for a data modeler with data analyzing skills.

"This person will be responsible for the data modeling using Erwin. This person should have experience creating the logical structures and then they will pass this information along to a DBA who will develop the physical structures."

Analysis: Clients needs a logical data modeler and physical data modeler who have hands on with Erwin Data Modeling Tool.

"This person will also be responsible for data analysis and data mapping. This person will profile data from different sources and determine whether and how data can support business and data requirements of its intended use."

Analysis: Data is coming from different sources and client would like to create a staging database, by which data can be cleansed and validated. So the data modeler should analyze the data from different sources and map the data from different sources to staging database tables.

"Determine whether and how data can support business and data requirements of its intended use."

Analysis: If you have read the complete job description, you can see in the last line that they are interested in DATA WARE HOUSE and reporting. From the above line, we can infer that the client needs a data modeler who has expertise in designing Data Warehouses.



"Data Modeler should have Knowledge of ETL process and tooling."

Analysis: Knowledge of any etl tool like Informatica or AB Initio or Data Stage is desirable.

"The candidate will deliver standardized data element definitions and descriptions with a goal of enterprise MDM definition and data integration and"

Analysis: The Data Modeler should write definitions for entity and attributes, which should be consistent with the MDM (Master Data Management).

"Will maintain the enterprise data model based on individual subject area models."

Analysis: Data Modeler will create an enterprise data model and will create subject areas for different lines of business (LOB) or processes.

"Knowledge of modeling conventions for both data (data models) and process (data flow diagrams and process models) is required."

Analysis: Data Modeler should have expertise in Data Modeling Conventions like IDE or IDEF1X and hands on experience in data flow diagrams and process models.

"This person will participate in data strategy which transforms data assets into Enterprise data warehouse, enabling the business and analytics resources to turn data into Information Intelligence."

Analysis: They need a data modeler who can design a data warehouse, from which they can generate Business Intelligence reports.



Based on the above analysis, we have formulated a table which contains the Minimum Information you need to get from the candidate.

Data Modeler Experience:
Logical Data Modeling Experience/Physical Data Modeling Experience:
Erwin Experience:
Modeling Conventions that has been used:
How many Enterprise Data Models have been created so far? For Which Client:
Data Analyzing Experience:
Has the data modeler created logical and physical data models for data warehouses?
Client Names on Data Warehouse Data Modeling?
ETL Tools Experience: Informatica, Data Stage, Ab Initio etc.
MDM Experience:
Any Lead Experience in Data Modeling? Client Names:



  Job Description Analysis     How a recruiter should analyze Project Manager Requirement 








Feedback on Recruitment Training Course: Batch 3


Most Searched Topics:




Users Online: / Users Today:

      Copyright ©2011 LearnHiring.Com All Rights Reserved.