90-100% remote but can require staff to come onsite as necessary with sufficient notice. Onsite work is not likely, but candidate should be prepared to come onsite if required.

Description:

The client is looking for Business Intelligence Data Modeler II

Project details: Position will be responsible for documenting key metadata on current production application databases. Position will work independently to assess and create key metadata documentation with guidance from senior Data Architect. While this is being posted as a Business Intelligence Data Modeler, The client is looking for someone with both application and data warehouse database modeling experience

This is a data modeler position who will be responsible for documenting several key business areas and concepts through the reverse engineering of models as well as the analysis and creation of key metadata points (definitions, etc). While this is being posted as a Business Intelligence Data Modeler, The client is looking for someone with both application and data warehouse database modeling experience.

The individual in this position will:

Develop conceptual, logical, and physical data models for the client data architecture. Ensure that all relevant aspects of data model (granularity, etc.) are considered. Analyze the logical and physical database models and guarantee models are in accordance with standards.
Document and define key metadata around database architecture.
Translate technical aspects of data modeling (facts, dimensions, “snowflaking”, etc.) into language that non-technical users can understand. Work with both technologists as well as non-technical users with ease and approachability.
Make recommendations on data maintenance tactics for slowly changing dimensions, data roll-off / archival planning, etc.
Design models optimized for both storage (warehouse) and query / retrieval (end user marts). Perform analysis and testing of relational databases and investigate any data load failures or data retrieval issues.
Assessment of data quality within database architecture.



Top skills:
Advanced knowledge of conceptual, logical and physical data modeling concepts; looking for BOTH APPLICATION and data warehouse database modeling experience (5+ years)
Experience in ERWIN data modeling software (5+ years)
Experience in reverse-engineering data structures and metadata development. (5+ years)
Advanced experience in Oracle PL/SQL (6+ years)

Preferred skill:
Experience with human services




Qualification - Experience
Conceptual, Logical and Physical Data Modeling - 5+ years
Create database objects - 5+ years
Database design - 5+ years
Erwin Data Modeling Software - 5 years
Excellent organization, analytical, and communication skills - 5 years
Data analysis - 5 years
Creating and reviewing SQL scripting - 5 years
Knowledge of Oracle PL/SQL - 6 years
Metadata tools - 5 years
Oracle 11g/DB2/SQL Server - 5 years
Oracle data dictionary views - 4 years
Metadata documentation experience - 5 years
Data quality assessment and profiling - 5 years



Data modeler capabilities with 4-5 years of experience. Requires moderate skill sets and developing proficiency within discipline. Conducts tasks and assignments as directed. Works with moderate supervision with some latitude for independent judgment. Career-Development position within field. Requires moderate skill sets and developing proficiency within discipline. Conducts tasks and assignments as directed. Works with moderate supervision with some latitude for independent judgment. Typically requires four to five years of experience or equivalent education.




Notes:
90-100% remote but can require staff to come onsite as necessary with sufficient notice. Onsite work is not likely, but candidate should be prepared to come onsite if required.

VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status