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Job Title: Data Modeler/Analyst

Job Location: OK - OklahomaCity
Job Description:


A data modeler/analyst must have expertise in relational and dimensional data 
modeling and enterprise data management methodologies as well as possess the 
ability to analyze large volumes of data for business rules definition and validation.  
The data modeler/analyst’s primary responsibility is to develop the logical and 
physical design of an emerging data environment using dimensional modeling best 
practices.  They will also perform complex data analysis in support of ad-hoc 
customer requests and analyzing, reporting, and developing recommendations on 
data.

Skills & Responsibilities:

•                    Perform needed tasks to support the standardization of facts and 
dimensions

•                    Develop entity and attribute descriptions and definitions for the models 
and resolve conflicts

•                    Assist with ETL source-target mappings, data consolidation, and 
ensure the data architecture is applied properly

•                    Expert-level SQL skills

•                    Multi-task, meet deadlines, and anticipate the needs of the team along 
with ability to operate and promote a teamwork environment

•                    Strong organization skills, ownership, and accountability

•                    Ability to work in fast-paced environment

Key Requirements: 

•                    10+ years’ experience as a data modeler with involvement in multiple 
data warehousing and / or business intelligence reporting projects

•                    Experience integrating disparate systems into conformed dimensions

•                    Extensive experience designing relational and dimensional data models, 
deploying and supporting a large, complex data warehouse/data marts

•                    Proven experience completing deliverables such as data models, data 
flow diagrams, and data value maps with minimal supervision

•                    Significant experience with analyzing large volumes of data using a 
structure methodology

•                    Experience working with a range of DBMS and data warehousing tools in 
different operating environments (Oracle, SQL Server, etc.)

•                    Strong, hands-on ERWIN or ER/Studio experience and a good 
understanding of Informatica ETL, Essbase, MicroStrategy, and other related 
reporting technologies

Project Communication: 

•                    Strong analytical and communication skills to communicate effectively 
and confidently with project team members and management

•                    Excellent communication and presentation skills required

•                    Conduct user interviews and perform detailed data analysis to identify 
appropriate data sources, key facts, and dimensions that support the business 
requirements

•                    Present information, analysis, ideas, and positions in a clear and 
convincing manner to both technical and nontechnical audiences

Industry Expertise: 

·         Individuals must have experience working in the energy domain with 
progressive experience in information management and data management over the 
past 7-10 years, including:

ό  Large scale data delivery and data warehouse 

ό  Master data management 

ό  Information quality




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